From 3d9960996d4bd5463a6dd06f66ed173bca911529 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Wed, 6 Mar 2024 14:38:25 +0100 Subject: [PATCH 01/38] Add commons-math with scope test to pom.xml * This depedency is used in the CovarianceTest class --- pom.xml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/pom.xml b/pom.xml index 87525dfd6..81e74fdc5 100644 --- a/pom.xml +++ b/pom.xml @@ -145,6 +145,13 @@ imagej-legacy test + + + + org.apache.commons + commons-math3 + test + From 63ef9df6fad90c0365e22ca57d97b6b9d1da4cce Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Wed, 6 Mar 2024 14:33:25 +0100 Subject: [PATCH 02/38] Add class Covariance that can compute Covariance matrices using an online algorithm - CovarianceTest contains unit tests for this class --- .../importer/labelimage/math/Covariance.java | 42 +++++++++++++++++++ .../labelimage/math/CovarianceTest.java | 33 +++++++++++++++ 2 files changed, 75 insertions(+) create mode 100644 src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Covariance.java create mode 100644 src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Covariance.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Covariance.java new file mode 100644 index 000000000..6a7059385 --- /dev/null +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Covariance.java @@ -0,0 +1,42 @@ +package org.mastodon.mamut.io.importer.labelimage.math; + +/** + * Computes the covariance for two independent variables.
+ * Uses an online algorithm to compute the covariance, cf.: Online algorithm for covariance + */ +public class Covariance +{ + private double meanX = 0; + + private double meanY = 0; + + private double c = 0; + + private int n = 0; + + /** + * Add a new pair of values to the covariance computation. + * @param x the first value + * @param y the second value + */ + public void addValues( double x, double y ) + { + n++; + double dx = x - meanX; + meanX += dx / n; + meanY += ( y - meanY ) / n; + c += dx * ( y - meanY ); + } + + /** + * Gets the covariance. + * @throws IllegalArgumentException if the number of samples is less than 2 + * @return the covariance + */ + public double get() + { + if ( n < 2 ) + throw new IllegalArgumentException( "Number of samples is less than 2." ); + return c / ( n - 1 ); + } +} diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java new file mode 100644 index 000000000..41f0b3c22 --- /dev/null +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java @@ -0,0 +1,33 @@ +package org.mastodon.mamut.io.importer.labelimage.math; + +import org.junit.Test; + +import static org.junit.Assert.assertEquals; +import static org.junit.Assert.assertThrows; + +public class CovarianceTest +{ + @Test + public void testGet() + { + double[] x = { 1, 2, 3, 4, 5 }; + double[] y = { 2, 3, 4, 5, 6 }; + org.apache.commons.math3.stat.correlation.Covariance covarianceApache = new org.apache.commons.math3.stat.correlation.Covariance(); + double expected = covarianceApache.covariance( x, y ); + org.mastodon.mamut.io.importer.labelimage.math.Covariance covariance = + new org.mastodon.mamut.io.importer.labelimage.math.Covariance(); + for ( int i = 0; i < x.length; i++ ) + covariance.addValues( x[ i ], y[ i ] ); + double actual = covariance.get(); + assertEquals( expected, actual, 0.0001d ); + } + + @Test + public void testException() + { + org.mastodon.mamut.io.importer.labelimage.math.Covariance covariance = + new org.mastodon.mamut.io.importer.labelimage.math.Covariance(); + covariance.addValues( 1, 1 ); + assertThrows( IllegalArgumentException.class, covariance::get ); + } +} From d2685799ddb16da38c5fe377f1a87c670c02417d Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Wed, 6 Mar 2024 14:33:45 +0100 Subject: [PATCH 03/38] Add class CovarianceMatrix that can compute Covariance matrices using an online algorithm - CovarianceMatrixTest contains unit tests for this class --- .../labelimage/math/CovarianceMatrix.java | 59 +++++++++++++++++++ .../labelimage/math/CovarianceMatrixTest.java | 42 +++++++++++++ 2 files changed, 101 insertions(+) create mode 100644 src/main/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrix.java create mode 100644 src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrix.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrix.java new file mode 100644 index 000000000..a8219e110 --- /dev/null +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrix.java @@ -0,0 +1,59 @@ +package org.mastodon.mamut.io.importer.labelimage.math; + +/** + * Computes the covariance matrix for independent values given as value vectors.
+ * Uses an online algorithm to compute the covariance, cf.: Online algorithm for covariance + */ +public class CovarianceMatrix +{ + private final Covariance[][] c; + + /** + * Create a new covariance matrix for the given number of dimensions. + * @param dimensions the number of dimensions + */ + public CovarianceMatrix( int dimensions ) + { + c = new Covariance[ dimensions ][ dimensions ]; + } + + /** + * Add a new value vector to the covariance matrix computation.
+ * The vector must have the same length as the number of dimensions of the covariance matrix. + * @param x the value vector + */ + public void addValues( int[] x ) + { + if ( x.length != c.length ) + throw new IllegalArgumentException( "Input array has wrong length." ); + for ( int i = 0; i < x.length; i++ ) + { + for ( int j = i; j < x.length; j++ ) + { + if ( c[ i ][ j ] == null ) + c[ i ][ j ] = new Covariance(); + c[ i ][ j ].addValues( x[ i ], x[ j ] ); + } + } + } + + /** + * Gets the covariance matrix. + * @throws IllegalArgumentException if the number of samples is less than 2 + * @return the covariance matrix + */ + public double[][] get() + { + double[][] result = new double[ c.length ][ c.length ]; + for ( int i = 0; i < c.length; i++ ) + { + for ( int j = i; j < c.length; j++ ) + { + result[ i ][ j ] = c[ i ][ j ].get(); + if ( i != j ) + result[ j ][ i ] = result[ i ][ j ]; + } + } + return result; + } +} diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java new file mode 100644 index 000000000..d0c6d213b --- /dev/null +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java @@ -0,0 +1,42 @@ +package org.mastodon.mamut.io.importer.labelimage.math; + +import org.junit.Test; + +import static org.junit.Assert.assertArrayEquals; +import static org.junit.Assert.assertThrows; + +public class CovarianceMatrixTest +{ + @Test + public void testGet() + { + double[] x = { 1, 2, 3, 4, 5 }; + double[] y = { 2, 3, 4, 5, 6 }; + int[][] dataInt = { { 1, 2 }, { 2, 3 }, { 3, 4 }, { 4, 5 }, { 5, 6 } }; + org.apache.commons.math3.stat.correlation.Covariance covarianceApache = + new org.apache.commons.math3.stat.correlation.Covariance(); + double[][] expected = { { covarianceApache.covariance( x, x ), covarianceApache.covariance( x, y ) }, + { covarianceApache.covariance( y, x ), covarianceApache.covariance( y, y ) } }; + CovarianceMatrix matrix = new CovarianceMatrix( 2 ); + for ( int[] values : dataInt ) + matrix.addValues( values ); + double[][] actual = matrix.get(); + assertArrayEquals( expected[ 0 ], actual[ 0 ], 0.0001d ); + assertArrayEquals( expected[ 1 ], actual[ 1 ], 0.0001d ); + } + + @Test + public void testException1() + { + CovarianceMatrix covarianceMatrix = new CovarianceMatrix( 2 ); + covarianceMatrix.addValues( new int[] { 1, 1 } ); + assertThrows( IllegalArgumentException.class, covarianceMatrix::get ); + } + + @Test + public void testException2() + { + CovarianceMatrix covarianceMatrix = new CovarianceMatrix( 2 ); + assertThrows( IllegalArgumentException.class, () -> covarianceMatrix.addValues( new int[] { 1 } ) ); + } +} From 0780138208895b71335492c42a507c7217858570 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Wed, 6 Mar 2024 14:34:26 +0100 Subject: [PATCH 04/38] Add class Mean and MeansVector that can compute mean(s) using an online algorithm --- .../io/importer/labelimage/math/Mean.java | 31 ++++++++++++ .../importer/labelimage/math/MeansVector.java | 48 +++++++++++++++++++ 2 files changed, 79 insertions(+) create mode 100644 src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Mean.java create mode 100644 src/main/java/org/mastodon/mamut/io/importer/labelimage/math/MeansVector.java diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Mean.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Mean.java new file mode 100644 index 000000000..839d16e53 --- /dev/null +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Mean.java @@ -0,0 +1,31 @@ +package org.mastodon.mamut.io.importer.labelimage.math; + +/** + * Computes the mean of a set of values. + */ +public class Mean +{ + private long sum = 0; + + private int n; + + /** + * Add a new value to the mean computation. + * @param x the value + */ + public void addValue( long x ) + { + n++; + sum += x; + } + + /** + * Gets the mean. + * Returns {@link Double#NaN}, if no samples have been added yet. + * @return the mean + */ + public double get() + { + return ( double ) sum / n; + } +} diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/MeansVector.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/MeansVector.java new file mode 100644 index 000000000..294a3756e --- /dev/null +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/MeansVector.java @@ -0,0 +1,48 @@ +package org.mastodon.mamut.io.importer.labelimage.math; + +/** + * Computes the mean of a set of values.
+ */ +public class MeansVector +{ + private final Mean[] means; + + /** + * Create a new means vector for the given number of dimensions. + * @param dimensions the number of dimensions + */ + public MeansVector( int dimensions ) + { + means = new Mean[ dimensions ]; + } + + /** + * Add a new value vector to the means computation.
+ * The vector must have the same length as the number of dimensions of the means vector. + * @param x the value vector + */ + public void addValues( int[] x ) + { + if ( x.length != means.length ) + throw new IllegalArgumentException( "Input array has wrong length." ); + for ( int i = 0; i < x.length; i++ ) + { + if ( means[ i ] == null ) + means[ i ] = new Mean(); + means[ i ].addValue( x[ i ] ); + } + } + + /** + * Gets the means vector. + * Returns a vector with {@link Double#NaN}s, if no samples have been added yet. + * @return the means vector + */ + public double[] get() + { + double[] result = new double[ means.length ]; + for ( int i = 0; i < means.length; i++ ) + result[ i ] = means[ i ].get(); + return result; + } +} From 5689917b09ad53b2335b1f832eae36817e1b71fe Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Wed, 6 Mar 2024 14:40:47 +0100 Subject: [PATCH 05/38] Add demo show mean and covariance computation using two-pass and online algorithms --- .../demo/ComputeMeanAndVarianceDemo.java | 152 ++++++++++++++++++ .../importer/labelimage/demo/DemoUtils.java | 133 +++++++++++++++ ...ultiVariateNormalDistributionRenderer.java | 77 +++++++++ 3 files changed, 362 insertions(+) create mode 100644 src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java create mode 100644 src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java create mode 100644 src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/MultiVariateNormalDistributionRenderer.java diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java new file mode 100644 index 000000000..ef6423f4e --- /dev/null +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java @@ -0,0 +1,152 @@ +/*- + * #%L + * mastodon-ellipsoid-fitting + * %% + * Copyright (C) 2015 - 2023 Tobias Pietzsch, Jean-Yves Tinevez + * %% + * Redistribution and use in source and binary forms, with or without + * modification, are permitted provided that the following conditions are met: + * + * 1. Redistributions of source code must retain the above copyright notice, + * this list of conditions and the following disclaimer. + * 2. Redistributions in binary form must reproduce the above copyright notice, + * this list of conditions and the following disclaimer in the documentation + * and/or other materials provided with the distribution. + * + * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" + * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE + * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE + * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE + * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR + * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF + * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS + * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN + * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) + * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + * POSSIBILITY OF SUCH DAMAGE. + * #L% + */ +package org.mastodon.mamut.io.importer.labelimage.demo; + +import mpicbg.spim.data.sequence.DefaultVoxelDimensions; +import mpicbg.spim.data.sequence.VoxelDimensions; +import net.imagej.patcher.LegacyInjector; +import net.imglib2.Cursor; +import net.imglib2.img.Img; +import net.imglib2.type.numeric.real.FloatType; +import net.imglib2.util.Cast; +import net.imglib2.util.LinAlgHelpers; +import net.imglib2.util.Pair; +import net.imglib2.util.StopWatch; +import org.mastodon.mamut.io.importer.labelimage.LabelImageUtils; +import org.mastodon.mamut.model.Model; + +import java.util.Arrays; + +/** + * Computing the mean position and covariance matrix for a given segmented + * region of an image is an easy way to get good ellipsoid parameters for + * that segment. + *

+ * Here is an example of how to do that. + */ +public class ComputeMeanAndVarianceDemo +{ + + public static void main( String[] args ) + { + LegacyInjector.preinit(); + + double[] center = { 40, 50, 60 }; + double[][] givenCovariance = { + { 400, 20, -10 }, + { 20, 200, 30 }, + { -10, 30, 100 } + }; + + long[] dimensions = { 100, 100, 100 }; + int background = 0; + int pixelValue = 1; + Img< FloatType > image = DemoUtils.generateExampleImage( center, givenCovariance, dimensions, background, pixelValue ); + + StopWatch stopWatchOnline = StopWatch.createAndStart(); + Pair< double[], double[][] > results = DemoUtils.computeMeanCovarianceOnline( Cast.unchecked( image ), pixelValue, Math.sqrt( 5 ) ); + double[] onlineMean = results.getA(); + double[][] onlineCovariance = results.getB(); + stopWatchOnline.stop(); + + StopWatch stopWatchTwoPass = StopWatch.createAndStart(); + double[] mean = computeMean( image, pixelValue ); + double[][] computedCovariance = computeCovariance( image, mean, pixelValue ); + stopWatchTwoPass.stop(); + + System.out.println( "Given center: " + Arrays.toString( center ) ); + System.out.println( "Computed mean: " + Arrays.toString( mean ) ); + System.out.println( "Computed mean online: " + Arrays.toString( onlineMean ) ); + System.out.println( "Given covariance: " + Arrays.deepToString( givenCovariance ) ); + System.out.println( "Computed covariance: " + Arrays.deepToString( computedCovariance ) ); + System.out.println( "Computed covariance online: " + Arrays.deepToString( onlineCovariance ) ); + System.out.println( "Time to compute mean and covariance: \n" + stopWatchTwoPass.nanoTime() / 1e9 + " nano seconds" ); + System.out.println( "Time to compute mean and covariance online: \n" + stopWatchOnline.nanoTime() / 1e9 + " nano seconds" ); + + Model model = new Model(); + model.getGraph().addVertex().init( 0, onlineMean, onlineCovariance ); + DemoUtils.showBdvWindow( DemoUtils.wrapAsAppModel( image, model ) ); + } + + /** + * Computes the mean position of the pixels whose value equals the given {@code pixelValue}. + * + * @param image the image + * @param pixelValue the pixel value + * @return the mean position + */ + private static double[] computeMean( final Img< FloatType > image, final int pixelValue ) + { + Cursor< FloatType > cursor = image.cursor(); + double[] sum = new double[ 3 ]; + double[] position = new double[ 3 ]; + long counter = 0; + while ( cursor.hasNext() ) + if ( cursor.next().get() == pixelValue ) + { + cursor.localize( position ); + LinAlgHelpers.add( sum, position, sum ); + counter++; + } + LinAlgHelpers.scale( sum, 1. / counter, sum ); + return sum; + } + + /** + * Computes the covariance matrix of the pixels whose value equals the given {@code pixelValue}. + * Uses a two-pass algorithm to compute the covariance matrix, cf. Two-pass algorithm for covariance + * + * @param image the image + * @param mean the mean position + * @param pixelValue the pixel value + */ + private static double[][] computeCovariance( final Img< FloatType > image, final double[] mean, final int pixelValue ) + { + Cursor< FloatType > cursor = image.cursor(); + long counter = 0; + double[] position = new double[ 3 ]; + double[][] covariance = new double[ 3 ][ 3 ]; + cursor.reset(); + while ( cursor.hasNext() ) + if ( cursor.next().get() == pixelValue ) + { + cursor.localize( position ); + LinAlgHelpers.subtract( position, mean, position ); + for ( int i = 0; i < 3; i++ ) + for ( int j = 0; j < 3; j++ ) + covariance[ i ][ j ] += position[ i ] * position[ j ]; + counter++; + } + VoxelDimensions voxelDimensions = new DefaultVoxelDimensions( 3 ); + LabelImageUtils.scale( covariance, Math.sqrt( 1d / counter ), voxelDimensions ); + // I don't know why the factor 5 is needed. But it works. + LabelImageUtils.scale( covariance, Math.sqrt( 5d ), voxelDimensions ); + return covariance; + } +} diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java new file mode 100644 index 000000000..683ea707b --- /dev/null +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java @@ -0,0 +1,133 @@ +/*- + * #%L + * mastodon-ellipsoid-fitting + * %% + * Copyright (C) 2015 - 2023 Tobias Pietzsch, Jean-Yves Tinevez + * %% + * Redistribution and use in source and binary forms, with or without + * modification, are permitted provided that the following conditions are met: + * + * 1. Redistributions of source code must retain the above copyright notice, + * this list of conditions and the following disclaimer. + * 2. Redistributions in binary form must reproduce the above copyright notice, + * this list of conditions and the following disclaimer in the documentation + * and/or other materials provided with the distribution. + * + * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" + * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE + * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE + * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE + * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR + * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF + * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS + * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN + * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) + * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + * POSSIBILITY OF SUCH DAMAGE. + * #L% + */ +package org.mastodon.mamut.io.importer.labelimage.demo; + +import ij.ImagePlus; +import mpicbg.spim.data.sequence.DefaultVoxelDimensions; +import net.imagej.ImgPlus; +import net.imagej.axis.Axes; +import net.imagej.axis.AxisType; +import net.imglib2.Cursor; +import net.imglib2.img.Img; +import net.imglib2.img.array.ArrayImgs; +import net.imglib2.img.display.imagej.ImgToVirtualStack; +import net.imglib2.loops.LoopBuilder; +import net.imglib2.type.numeric.RealType; +import net.imglib2.type.numeric.real.FloatType; +import net.imglib2.util.Pair; +import net.imglib2.util.ValuePair; +import org.mastodon.mamut.ProjectModel; +import org.mastodon.mamut.io.importer.labelimage.LabelImageUtils; +import org.mastodon.mamut.io.importer.labelimage.math.CovarianceMatrix; +import org.mastodon.mamut.io.importer.labelimage.math.MeansVector; +import org.mastodon.mamut.model.Model; +import org.mastodon.mamut.views.bdv.MamutViewBdv; +import org.mastodon.views.bdv.SharedBigDataViewerData; +import org.scijava.Context; + +import javax.annotation.Nonnull; +import java.util.Objects; + +public class DemoUtils +{ + private DemoUtils() + { + // prevent from instantiation + } + + public static ProjectModel wrapAsAppModel( final Img< FloatType > image, final Model model ) + { + final SharedBigDataViewerData sharedBigDataViewerData = asSharedBdvDataXyz( image ); + return ProjectModel.create( new Context(), model, sharedBigDataViewerData, null ); + } + + public static SharedBigDataViewerData asSharedBdvDataXyz( final Img< FloatType > image1 ) + { + final ImagePlus image = + ImgToVirtualStack.wrap( new ImgPlus<>( image1, "image", new AxisType[] { Axes.X, Axes.Y, Axes.Z, Axes.TIME } ) ); + return Objects.requireNonNull( SharedBigDataViewerData.fromImagePlus( image ) ); + } + + public static void showBdvWindow( @Nonnull final ProjectModel appModel ) + { + appModel.getWindowManager().createView( MamutViewBdv.class ); + } + + /** + * Returns an example image with a single ellipsoid. + * + * @param center center of the ellipsoid + * @param cov covariance matrix of the ellipsoid + * @param dimensions dimensions of the image + * @param background value of the background + * @param pixelValue value of the ellipsoid + */ + public static Img< FloatType > generateExampleImage( + final double[] center, final double[][] cov, final long[] dimensions, final int background, final int pixelValue + ) + { + Img< FloatType > image = ArrayImgs.floats( dimensions ); + MultiVariateNormalDistributionRenderer.renderMultivariateNormalDistribution( center, cov, image ); + LoopBuilder.setImages( image ).forEachPixel( pixel -> { + if ( pixel.get() > 500 ) + pixel.set( pixelValue ); + else + pixel.set( background ); + } ); + return image; + } + + /** + * Computes the covariance matrix of the pixels whose value equals the given {@code pixelValue}. + * Uses an online algorithm to compute the covariance matrix, cf. Online algorithm for covariance + * + * @param image the image + * @param pixelValue the pixel value + */ + public static Pair< double[], double[][] > computeMeanCovarianceOnline( final Img< RealType< ? > > image, final int pixelValue, + double sigma ) + { + Cursor< RealType< ? > > cursor = image.cursor(); + int[] position = new int[ 3 ]; + cursor.reset(); + MeansVector mean = new MeansVector( 3 ); + CovarianceMatrix cov = new CovarianceMatrix( 3 ); + while ( cursor.hasNext() ) + if ( cursor.next().getRealDouble() == pixelValue ) + { + cursor.localize( position ); + mean.addValues( position ); + cov.addValues( position ); + } + double[] means = mean.get(); + double[][] covariances = cov.get(); + LabelImageUtils.scale( covariances, sigma, new DefaultVoxelDimensions( 3 ) ); + return new ValuePair<>( means, covariances ); + } +} diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/MultiVariateNormalDistributionRenderer.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/MultiVariateNormalDistributionRenderer.java new file mode 100644 index 000000000..a3eef9bb2 --- /dev/null +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/MultiVariateNormalDistributionRenderer.java @@ -0,0 +1,77 @@ +/*- + * #%L + * mastodon-ellipsoid-fitting + * %% + * Copyright (C) 2015 - 2023 Tobias Pietzsch, Jean-Yves Tinevez + * %% + * Redistribution and use in source and binary forms, with or without + * modification, are permitted provided that the following conditions are met: + * + * 1. Redistributions of source code must retain the above copyright notice, + * this list of conditions and the following disclaimer. + * 2. Redistributions in binary form must reproduce the above copyright notice, + * this list of conditions and the following disclaimer in the documentation + * and/or other materials provided with the distribution. + * + * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" + * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE + * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE + * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE + * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR + * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF + * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS + * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN + * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) + * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + * POSSIBILITY OF SUCH DAMAGE. + * #L% + */ +package org.mastodon.mamut.io.importer.labelimage.demo; + +import net.imglib2.RandomAccessibleInterval; +import net.imglib2.loops.LoopBuilder; +import net.imglib2.realtransform.AffineTransform3D; +import net.imglib2.type.numeric.real.FloatType; +import net.imglib2.util.Intervals; +import net.imglib2.util.LinAlgHelpers; + +public class MultiVariateNormalDistributionRenderer +{ + + /** + * Renders the density function of a multivariate normal distribution into a given image. + * @see Wikipedia Multivariate normal distribution + * @param center center of the distribution + * @param cov covariance matrix of the distribution (must be symmetric and positive definite) + * @param image the image to render into (image is a cube) + * + */ + public static void renderMultivariateNormalDistribution( double[] center, double[][] cov, + RandomAccessibleInterval< FloatType > image ) + { + AffineTransform3D sigma = new AffineTransform3D(); + sigma.set( + cov[ 0 ][ 0 ], cov[ 0 ][ 1 ], cov[ 0 ][ 2 ], 0, + cov[ 1 ][ 0 ], cov[ 1 ][ 1 ], cov[ 1 ][ 2 ], 0, + cov[ 2 ][ 0 ], cov[ 2 ][ 1 ], cov[ 2 ][ 2 ], 0 + ); + double[] coord = new double[ 3 ]; + double[] out = new double[ 3 ]; + LoopBuilder.setImages( Intervals.positions( image ), image ).forEachPixel( ( position, pixel ) -> { + position.localize( coord ); + LinAlgHelpers.subtract( coord, center, coord ); + sigma.applyInverse( out, coord ); + // leave out the 1 / (sqrt( ( 2 * pi ) ^ 3 * det( cov )) factor to make the image more visible + double value = Math.exp( -0.5 * scalarProduct( coord, out ) ); + pixel.setReal( 1000 * value ); + } ); + } + + /** + * Computes the scalar product of two vectors. + */ + public static double scalarProduct( double[] a, double[] b ) + { + return a[ 0 ] * b[ 0 ] + a[ 1 ] * b[ 1 ] + a[ 2 ] * b[ 2 ]; + } +} From c24ded9b296f5d26b5f9071efd7d8b957b062944 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Wed, 6 Mar 2024 14:36:28 +0100 Subject: [PATCH 06/38] Add a new utility class that contains methods to create Spots from Label images * LabelImageUtilsTest contains unit tests for this class --- .../importer/labelimage/LabelImageUtils.java | 373 ++++++++++++++++++ .../labelimage/LabelImageUtilsTest.java | 250 ++++++++++++ 2 files changed, 623 insertions(+) create mode 100644 src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java create mode 100644 src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java new file mode 100644 index 000000000..fc38cbc14 --- /dev/null +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -0,0 +1,373 @@ +package org.mastodon.mamut.io.importer.labelimage; + +import bdv.viewer.Source; +import mpicbg.spim.data.generic.sequence.AbstractSequenceDescription; +import mpicbg.spim.data.sequence.TimePoint; +import mpicbg.spim.data.sequence.VoxelDimensions; +import net.imagej.ImgPlus; +import net.imglib2.Cursor; +import net.imglib2.RandomAccessibleInterval; +import net.imglib2.type.numeric.RealType; +import net.imglib2.util.Cast; +import net.imglib2.util.Pair; +import net.imglib2.util.ValuePair; +import net.imglib2.view.Views; +import org.mastodon.mamut.ProjectModel; +import org.mastodon.mamut.io.importer.labelimage.math.CovarianceMatrix; +import org.mastodon.mamut.io.importer.labelimage.math.MeansVector; +import org.mastodon.mamut.model.Model; +import org.mastodon.mamut.model.ModelGraph; +import org.mastodon.mamut.model.Spot; +import org.mastodon.views.bdv.SharedBigDataViewerData; +import org.scijava.Context; +import org.scijava.app.StatusService; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.lang.invoke.MethodHandles; +import java.util.Arrays; +import java.util.List; +import java.util.concurrent.locks.ReentrantReadWriteLock; +import java.util.function.IntFunction; + +/** + * Utility class to create spots from label images. + */ +public class LabelImageUtils +{ + + private static final Logger logger = LoggerFactory.getLogger( MethodHandles.lookup().lookupClass() ); + + private LabelImageUtils() + { + // prevent from instantiation + } + + /** + * Creates spots from the given label image.
+ * The method runs twice through each image (i.e. each frame). Once to determine maximum/minimum values for array initialization, and once to do summation for covariance and mean. + * @param frameProvider a function that provides the image data for each frame. + * @param frames a list of frames to process. + * @param model the model to add the spots to. + * @param voxelDimensions the dimensions of the voxels in the image. + * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @param statusService the status service to report progress to. + */ + static void createSpotsFromLabelImage( final IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider, + final List< TimePoint > frames, final Model model, final VoxelDimensions voxelDimensions, final double sigma, + final StatusService statusService ) + { + final ModelGraph graph = model.getGraph(); + ReentrantReadWriteLock lock = graph.getLock(); + lock.writeLock().lock(); + int count = 0; + try + { + int numTimepoints = frames.size(); + for ( TimePoint frame : frames ) + { + int frameId = frame.getId(); + final RandomAccessibleInterval< RealType< ? > > rai = frameProvider.apply( frameId ); + count += createSpotsForFrame( graph, rai, frameId, voxelDimensions, sigma ); + if ( statusService != null ) + statusService.showProgress( frameId + 1, numTimepoints ); + } + model.setUndoPoint(); + } + finally + { + lock.writeLock().unlock(); + } + graph.notifyGraphChanged(); + logger.info( "Created {} new spots in {} frames.", count, frames.size() ); + } + + /** + * Create spots for the given frame. + * @param graph the graph to add the spots to. + * @param frame the image data to read and process. + * @param frameId the frame id the spots should belong to. + * @param voxelDimensions the dimensions of the voxels in the image. + * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @return the number of spots created. + */ + private static int createSpotsForFrame( final ModelGraph graph, final RandomAccessibleInterval< RealType< ? > > frame, + final int frameId, final VoxelDimensions voxelDimensions, final double sigma ) + { + logger.debug( "Computing mean, covariance of all labels at frame {}", frameId ); + logger.debug( "Dimensions of frame: {}, {}, {}", frame.dimension( 0 ), frame.dimension( 1 ), frame.dimension( 2 ) ); + + // get the maximum value possible to learn how many objects need to be instantiated + Pair< Integer, Integer > minAndMax = getPixelValueInterval( frame ); + + int minimumLabel = minAndMax.getA(); + int maximumLabel = minAndMax.getB(); + if ( minimumLabel == Integer.MAX_VALUE || maximumLabel == Integer.MIN_VALUE ) + { + logger.debug( "No labels found in frame {}", frameId ); + return 0; + } + int numLabels = maximumLabel - minimumLabel + 1; + if ( numLabels > 10_000 ) // NB: 10_000 is arbitrary, but such a high number of labels is suspicious, thus we log a warning here + logger.warn( "found {} labels, are you sure you used the correct image source?", numLabels ); + + logger.debug( "Found {} label(s) in frame {}. Range: [{}, {}]", numLabels, frameId, minimumLabel, maximumLabel ); + Label[] labels = extractLabelsFromFrame( frame, minimumLabel, numLabels ); + return createSpotsFromFrameLabels( graph, frameId, labels, voxelDimensions, sigma ); + } + + /** + * Read the frame and determine the minimum and maximum pixel values in the frame. + * @param frame an image to read and process + * @return A pair of values (min, max) that represent the minimum and maximum pixel values in the image + * @author Noam Dori + */ + private static Pair< Integer, Integer > getPixelValueInterval( final RandomAccessibleInterval< RealType< ? > > frame ) + { + int min = Integer.MAX_VALUE; + int max = Integer.MIN_VALUE; + Cursor< RealType< ? > > cursor = Views.iterable( frame ).cursor(); + while ( cursor.hasNext() ) + { + int val = ( int ) cursor.next().getRealDouble(); + // we ignore 0 as it is background + if ( val == 0 ) + continue; + if ( min > val ) + min = val; + if ( max < val ) + max = val; + } + return new ValuePair<>( min, max ); + } + + /** + * Create spots from the labels in the given frame. + * @param graph the graph to add the spots to. + * @param frameId the frame id the spots should belong to. + * @param labels the labels in the frame. + * @param voxelDimensions the dimensions of the voxels in the image. + * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @return the number of spots created. + */ + private static int createSpotsFromFrameLabels( final ModelGraph graph, final int frameId, final Label[] labels, + final VoxelDimensions voxelDimensions, final double sigma ) + { + int count = 0; + // combine the sums into mean and covariance matrices, then add the corresponding spot + for ( final Label label : labels ) + { + // skip labels that are not present in the image or have only one pixel + if ( label == null || label.numPixels < 2 ) + continue; + double[] mean = label.means.get(); + double[][] cov = label.covariances.get(); + scale( mean, voxelDimensions ); + scale( cov, sigma, voxelDimensions ); + try + { + Spot spot = graph.addVertex().init( frameId, mean, cov ); + spot.setLabel( String.valueOf( label.value ) ); + count++; + } + catch ( Exception e ) + { + logger.trace( "Could not add vertex to graph. Mean: {}, Covariance: {}", Arrays.toString( mean ), + Arrays.deepToString( cov ) ); + } + } + logger.debug( "Added {} spots to frame {}", count, frameId ); + return count; + } + + /** + * Extracts the labels from the given frame by iterating once over all pixels of that frame and computing the means and covariances for all labels. + * @param frame the pointer to the image to read. + * @param minimumLabelValue the minimum value of the pixels in the image. + * @param numLabels the number of labels in the frame. + */ + private static Label[] extractLabelsFromFrame( final RandomAccessibleInterval< RealType< ? > > frame, int minimumLabelValue, + int numLabels ) + { + Label[] labels = new Label[ numLabels ]; + // read all pixels of the picture to sum everything up + Cursor< RealType< ? > > cursor = Views.iterable( frame ).cursor(); + int[] pixel = new int[ cursor.numDimensions() ]; + while ( cursor.hasNext() ) + { + int pixelValue = ( int ) cursor.next().getRealDouble(); + int labelIndex = pixelValue - minimumLabelValue; + if ( pixelValue <= 0 ) + continue; + if ( labelIndex >= numLabels ) + throw new IllegalArgumentException( + "Index " + labelIndex + " is out of bounds for the number of " + numLabels + " labels in this frame." ); + if ( labels[ labelIndex ] == null ) + labels[ labelIndex ] = new Label( pixelValue, cursor.numDimensions() ); + Label label = labels[ labelIndex ]; + cursor.localize( pixel ); + label.addPixel( pixel ); + } + return labels; + } + + /** + * Scales the mean vector by the voxel dimensions. + * @param mean the mean vector to scale. + * @param voxelDimensions the dimensions of the voxels in the image. + */ + private static void scale( final double[] mean, final VoxelDimensions voxelDimensions ) + { + if ( mean.length != voxelDimensions.numDimensions() ) + throw new IllegalArgumentException( "Mean vector has wrong dimension." ); + for ( int i = 0; i < mean.length; i++ ) + mean[ i ] = mean[ i ] * voxelDimensions.dimension( i ); + } + + /** + * Returns the dimensions of the given image as an array in the order x, y, z, t. + * @param imgPlus the image to get the dimensions from. + * @return the dimensions of the image. + */ + public static long[] getImgPlusDimensions( final ImgPlus< ? > imgPlus ) + { + long[] imgPlusDimensions = imgPlus.getImg().dimensionsAsLongArray(); + int numDimensions = imgPlusDimensions.length; + long imgPlusX = imgPlusDimensions[ 0 ]; + long imgPlusY = imgPlusDimensions[ 1 ]; + long imgPlusZ = numDimensions > 2 ? imgPlusDimensions[ 2 ] : 0; + long imgPlusT = numDimensions > 3 ? imgPlusDimensions[ 3 ] : 0; + return new long[] { imgPlusX, imgPlusY, imgPlusZ, imgPlusT }; + } + + /** + * Returns the dimensions of the given big data viewer image as an array in the order x, y, z, t. + * @param sharedBdvData the big data viewer data to get the dimensions from. + * @return the dimensions of the big data viewer image. + */ + public static long[] getBdvDimensions( final SharedBigDataViewerData sharedBdvData ) + { + AbstractSequenceDescription< ?, ?, ? > sequenceDescription = sharedBdvData.getSpimData().getSequenceDescription(); + int bdvTimepoints = sequenceDescription.getTimePoints().size(); + long[] bdvSpatialDimensions = sequenceDescription.getViewSetups().get( 0 ).getSize().dimensionsAsLongArray(); + return new long[] { bdvSpatialDimensions[ 0 ], bdvSpatialDimensions[ 1 ], bdvSpatialDimensions[ 2 ], bdvTimepoints }; + } + + /** + * Checks if the dimensions of the given big data viewer image match the dimensions of the given image. + * @param sharedBigDataViewerData the big data viewer data to check the dimensions against. + * @param imgPlus the image to check the dimensions against. + * @return true if the dimensions match, false otherwise. + */ + public static boolean dimensionsMatch( final SharedBigDataViewerData sharedBigDataViewerData, final ImgPlus< ? > imgPlus ) + { + long[] bdvDimensions = getBdvDimensions( sharedBigDataViewerData ); + long[] imgPlusDimensions = getImgPlusDimensions( imgPlus ); + return Arrays.equals( bdvDimensions, imgPlusDimensions ); + } + + /** + * Imports spots from the given ImageJ image into the given project model. + * @param imgPlus the image to import the spots from. + * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @param projectModel the project model to add the spots to. + * @throws IllegalArgumentException if the dimensions of the given image do not match the dimensions of the big data viewer image contained in the project model. + */ + public static void importSpotsFromImgPlus( final ImgPlus< ? > imgPlus, final double sigma, final ProjectModel projectModel ) + { + logger.debug( "ImageJ image: {}", imgPlus.getName() ); + final SharedBigDataViewerData sharedBdvData = projectModel.getSharedBdvData(); + if ( !dimensionsMatch( sharedBdvData, imgPlus ) ) + throw new IllegalArgumentException( "The dimensions of the ImageJ image " + imgPlus.getName() + + " do not match the dimensions of the big data viewer image." ); + final Context context = projectModel.getContext(); + final AbstractSequenceDescription< ?, ?, ? > sequenceDescription = sharedBdvData.getSpimData().getSequenceDescription(); + final List< TimePoint > frames = sequenceDescription.getTimePoints().getTimePointsOrdered(); + // NB: Use the dimensions of the first source and the first time point only without checking if they are equal in other sources and time points. + final VoxelDimensions voxelDimensions = sequenceDescription.getViewSetups().get( 0 ).getVoxelSize(); + IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider = + frameId -> Cast.unchecked( Views.hyperSlice( imgPlus.getImg(), 3, frameId ) ); + LabelImageUtils.createSpotsFromLabelImage( frameProvider, frames, projectModel.getModel(), voxelDimensions, sigma, + context.getService( StatusService.class ) ); + } + + /** + * Imports spots from the given big data viewer channel into the given project model. + * @param projectModel the project model to add the spots to. + * @param labelChannelIndex the index of the channel to import the spots from. This channel should contain the labels. + * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @throws IllegalArgumentException if the label channel index is out of bounds, i.e. if it is greater than the number of channels in the big data viewer source contained in the project model. + */ + public static void importSpotsFromBdvChannel( final ProjectModel projectModel, final int labelChannelIndex, final double sigma ) + { + final SharedBigDataViewerData sharedBigDataViewerData = projectModel.getSharedBdvData(); + int numChannels = sharedBigDataViewerData.getSources().size(); + if ( labelChannelIndex >= numChannels ) + throw new IllegalArgumentException( "The label channel index " + labelChannelIndex + + " is out of bounds. The available big data viewer source only contains " + numChannels + " channels." ); + final AbstractSequenceDescription< ?, ?, ? > sequenceDescription = sharedBigDataViewerData.getSpimData().getSequenceDescription(); + final List< TimePoint > frames = sequenceDescription.getTimePoints().getTimePointsOrdered(); + final Source< ? extends RealType< ? > > source = + Cast.unchecked( sharedBigDataViewerData.getSources().get( labelChannelIndex ).getSpimSource() ); + // NB: Use the dimensions of the first source and the first time point only without checking if they are equal in other sources and time points. + final VoxelDimensions voxelDimensions = sequenceDescription.getViewSetups().get( 0 ).getVoxelSize(); + IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = + frameId -> Cast.unchecked( source.getSource( frameId, 0 ) ); + LabelImageUtils.createSpotsFromLabelImage( imgProvider, frames, projectModel.getModel(), voxelDimensions, sigma, + projectModel.getContext().getService( StatusService.class ) ); + } + + /** + * Scales the covariance matrix the given sigma and the voxel dimensions. + * @param covariance the covariance matrix to scale. + * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @param voxelDimensions the dimensions of the voxels in the image. + * @throws IllegalArgumentException if the covariance matrix has not the same dimensions as the given voxelDimensions. + */ + public static void scale( final double[][] covariance, final double sigma, final VoxelDimensions voxelDimensions ) + { + if ( covariance.length != voxelDimensions.numDimensions() ) + throw new IllegalArgumentException( "Covariance matrix has wrong dimension." ); + for ( int i = 0; i < covariance.length; i++ ) + { + if ( covariance[ i ].length != voxelDimensions.numDimensions() ) + throw new IllegalArgumentException( "Covariance matrix has wrong dimension." ); + for ( int j = i; j < covariance.length; j++ ) + { + covariance[ i ][ j ] *= Math.pow( sigma, 2 ) * voxelDimensions.dimension( i ) * voxelDimensions.dimension( j ); + // the covariance matrix is symmetric! + if ( i != j ) + covariance[ j ][ i ] = covariance[ i ][ j ]; + } + } + } + + /** + * A class to hold the pixel count, mean and covariances of a label in the image. + */ + private static class Label + { + private final int value; + + private int numPixels; + + private final MeansVector means; + + private final CovarianceMatrix covariances; + + private Label( final int value, final int numDimensions ) + { + this.value = value; + numPixels = 0; + means = new MeansVector( numDimensions ); + covariances = new CovarianceMatrix( numDimensions ); + } + + private void addPixel( int[] pixel ) + { + numPixels++; + means.addValues( pixel ); + covariances.addValues( pixel ); + } + } +} diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java new file mode 100644 index 000000000..949c7a2a7 --- /dev/null +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java @@ -0,0 +1,250 @@ +package org.mastodon.mamut.io.importer.labelimage; + +import bdv.util.AbstractSource; +import bdv.util.RandomAccessibleIntervalSource; +import mpicbg.spim.data.sequence.FinalVoxelDimensions; +import mpicbg.spim.data.sequence.TimePoint; +import mpicbg.spim.data.sequence.VoxelDimensions; +import net.imagej.ImgPlus; +import net.imagej.axis.Axes; +import net.imagej.axis.CalibratedAxis; +import net.imagej.axis.DefaultLinearAxis; +import net.imagej.patcher.LegacyInjector; +import net.imglib2.RandomAccess; +import net.imglib2.RandomAccessibleInterval; +import net.imglib2.img.Img; +import net.imglib2.img.array.ArrayImgFactory; +import net.imglib2.img.array.ArrayImgs; +import net.imglib2.loops.LoopBuilder; +import net.imglib2.realtransform.AffineTransform3D; +import net.imglib2.type.numeric.RealType; +import net.imglib2.type.numeric.real.FloatType; +import net.imglib2.util.Cast; +import net.imglib2.view.Views; +import org.junit.Before; +import org.junit.Test; +import org.mastodon.mamut.ProjectModel; +import org.mastodon.mamut.feature.EllipsoidIterable; +import org.mastodon.mamut.io.importer.labelimage.demo.DemoUtils; +import org.mastodon.mamut.model.Model; +import org.mastodon.mamut.model.Spot; +import org.mastodon.views.bdv.overlay.util.JamaEigenvalueDecomposition; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.lang.invoke.MethodHandles; +import java.util.Arrays; +import java.util.Collections; +import java.util.Iterator; +import java.util.List; +import java.util.concurrent.atomic.AtomicInteger; +import java.util.function.IntFunction; + +import static org.junit.Assert.assertArrayEquals; +import static org.junit.Assert.assertEquals; +import static org.junit.Assert.assertFalse; +import static org.junit.Assert.assertNotNull; +import static org.junit.Assert.assertThrows; +import static org.junit.Assert.assertTrue; + +public class LabelImageUtilsTest +{ + private static final Logger logger = LoggerFactory.getLogger( MethodHandles.lookup().lookupClass() ); + + private Model model; + + private List< TimePoint > frames; + + private VoxelDimensions voxelDimensions; + + @Before + public void setUp() + { + model = new Model(); + frames = Collections.singletonList( new TimePoint( 0 ) ); + voxelDimensions = new FinalVoxelDimensions( "um", 1, 1, 1 ); + } + + @Test + public void testScaleExceptions() + { + VoxelDimensions voxelDimensions = new FinalVoxelDimensions( "um", 1, 1, 1 ); + assertThrows( IllegalArgumentException.class, () -> LabelImageUtils.scale( new double[ 2 ][ 2 ], 1, voxelDimensions ) ); + assertThrows( IllegalArgumentException.class, () -> LabelImageUtils.scale( new double[ 3 ][ 2 ], 1, voxelDimensions ) ); + } + + @Test + public void testCreateSpotFromLabelImageEmpty() + { + RandomAccessibleIntervalSource< FloatType > img = + new RandomAccessibleIntervalSource<>( createImageCubeCorners( 0 ), new FloatType(), new AffineTransform3D(), + "Segmentation" ); + + IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = frameId -> Cast.unchecked( img.getSource( frameId, 0 ) ); + LabelImageUtils.createSpotsFromLabelImage( imgProvider, frames, model, voxelDimensions, 1, null ); + assertEquals( 0, model.getGraph().vertices().size() ); + } + + @Test + public void testCreateSpotFromNonLabelImage() + { + AbstractSource< FloatType > img = createNonLabelImage(); + + IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = frameId -> Cast.unchecked( img.getSource( frameId, 0 ) ); + LabelImageUtils.createSpotsFromLabelImage( imgProvider, frames, model, voxelDimensions, 1, null ); + assertEquals( 0, model.getGraph().vertices().size() ); + } + + @Test + public void testCreateSpotFromWrongVoxelDimensions() + { + RandomAccessibleIntervalSource< FloatType > img = + new RandomAccessibleIntervalSource<>( createImageCubeCorners( 1 ), new FloatType(), new AffineTransform3D(), + "Segmentation" ); + + VoxelDimensions wrongDimensions = new FinalVoxelDimensions( "um", 1, 1 ); + IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = frameId -> Cast.unchecked( img.getSource( frameId, 0 ) ); + assertThrows( IllegalArgumentException.class, + () -> LabelImageUtils.createSpotsFromLabelImage( imgProvider, frames, model, wrongDimensions, 1, null ) ); + } + + @Test + public void testImportSpotsFromBdvChannel() + { + LegacyInjector.preinit(); + int pixelValue = 1; + Img< FloatType > img = createImageCubeCorners( pixelValue ); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model ); + LabelImageUtils.importSpotsFromBdvChannel( projectModel, 0, 1 ); + + Iterator< Spot > iter = model.getGraph().vertices().iterator(); + Spot spot = iter.next(); + double[][] covarianceMatrix = new double[ 3 ][ 3 ]; + spot.getCovariance( covarianceMatrix ); + final JamaEigenvalueDecomposition eigenvalueDecomposition = new JamaEigenvalueDecomposition( 3 ); + eigenvalueDecomposition.decomposeSymmetric( covarianceMatrix ); + final double[] eigenValues = eigenvalueDecomposition.getRealEigenvalues(); + double axisA = Math.sqrt( eigenValues[ 0 ] ); + double axisB = Math.sqrt( eigenValues[ 1 ] ); + double axisC = Math.sqrt( eigenValues[ 2 ] ); + + assertNotNull( spot ); + assertEquals( 0, spot.getTimepoint() ); + assertEquals( 2, spot.getDoublePosition( 0 ), 0.01 ); + assertEquals( 2, spot.getDoublePosition( 1 ), 0.01 ); + assertEquals( 2, spot.getDoublePosition( 2 ), 0.01 ); + assertEquals( 0, spot.getInternalPoolIndex() ); + assertEquals( String.valueOf( pixelValue ), spot.getLabel() ); + assertEquals( 1, axisA, 0.1d ); + assertEquals( 1, axisB, 0.1d ); + assertEquals( 1, axisC, 0.1d ); + assertEquals( 1, spot.getBoundingSphereRadiusSquared(), 0.2d ); + assertFalse( iter.hasNext() ); + } + + @Test + public void testImportSpotsFromImgPlus() + { + LegacyInjector.preinit(); + double[] center = { 18, 21, 22 }; + double[][] givenCovariance = { + { 33, 14, 0 }, + { 14, 32, 0 }, + { 0, 0, 95 } + }; + Spot spot = model.getGraph().addVertex().init( 0, center, givenCovariance ); + int pixelValue = 1; + Img< FloatType > image = createImageFromSpot( spot, pixelValue ); + ImgPlus< FloatType > imgPlus = createImgPlus( image, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model ); + LabelImageUtils.importSpotsFromImgPlus( imgPlus, 2.1, projectModel ); + + Iterator< Spot > iterator = model.getGraph().vertices().iterator(); + iterator.next(); + Spot createdSpot = iterator.next(); + double[] mean = createdSpot.positionAsDoubleArray(); + double[][] computedCovariance = new double[ 3 ][ 3 ]; + createdSpot.getCovariance( computedCovariance ); + + logger.debug( "Given center: {}", Arrays.toString( center ) ); + logger.debug( "Computed mean: {}", Arrays.toString( mean ) ); + logger.debug( "Given covariance: {}", Arrays.deepToString( givenCovariance ) ); + logger.debug( "Computed covariance: {}", Arrays.deepToString( computedCovariance ) ); + + assertArrayEquals( center, mean, 0.01d ); + assertArrayEquals( givenCovariance[ 0 ], computedCovariance[ 0 ], 5d ); + assertArrayEquals( givenCovariance[ 1 ], computedCovariance[ 1 ], 5d ); + assertArrayEquals( givenCovariance[ 2 ], computedCovariance[ 2 ], 5d ); + assertEquals( String.valueOf( pixelValue ), createdSpot.getLabel() ); + } + + @Test + public void testDimensionsMatch() + { + LegacyInjector.preinit(); + Img< FloatType > image = ArrayImgs.floats( 10, 10, 10, 2 ); + Model model = new Model(); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model ); + ImgPlus< FloatType > imgPlus = createImgPlus( image, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); + assertTrue( LabelImageUtils.dimensionsMatch( projectModel.getSharedBdvData(), imgPlus ) ); + } + + @Test + public void testGetImgPlusDimensions() + { + Img< FloatType > image = ArrayImgs.floats( 100, 100, 100, 2 ); + ImgPlus< FloatType > imgPlus = createImgPlus( image, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); + long[] dimensions = LabelImageUtils.getImgPlusDimensions( imgPlus ); + assertArrayEquals( new long[] { 100, 100, 100, 2 }, dimensions ); + } + + private ImgPlus< FloatType > createImgPlus( final Img< FloatType > img, final VoxelDimensions voxelDimensions ) + { + final CalibratedAxis[] axes = { new DefaultLinearAxis( Axes.X, voxelDimensions.dimension( 0 ) ), + new DefaultLinearAxis( Axes.Y, voxelDimensions.dimension( 1 ) ), + new DefaultLinearAxis( Axes.Z, voxelDimensions.dimension( 2 ) ), new DefaultLinearAxis( Axes.TIME ) }; + return new ImgPlus<>( img, "Result", axes ); + } + + private static Img< FloatType > createImageCubeCorners( int pixelValue ) + { + Img< FloatType > img = new ArrayImgFactory<>( new FloatType() ).create( 4, 4, 4 ); + RandomAccess< FloatType > ra = img.randomAccess(); + // 8 corners of a cube + ra.setPositionAndGet( 1, 1, 1 ).set( pixelValue ); + ra.setPositionAndGet( 1, 3, 1 ).set( pixelValue ); + ra.setPositionAndGet( 3, 1, 1 ).set( pixelValue ); + ra.setPositionAndGet( 3, 3, 1 ).set( pixelValue ); + ra.setPositionAndGet( 1, 1, 3 ).set( pixelValue ); + ra.setPositionAndGet( 1, 3, 3 ).set( pixelValue ); + ra.setPositionAndGet( 3, 1, 3 ).set( pixelValue ); + ra.setPositionAndGet( 3, 3, 3 ).set( pixelValue ); + + return img; + } + + private static AbstractSource< FloatType > createNonLabelImage() + { + Img< FloatType > img = new ArrayImgFactory<>( new FloatType() ).create( 25, 25, 25 ); + AtomicInteger value = new AtomicInteger( 0 ); + LoopBuilder.setImages( img ).forEachPixel( floatType -> floatType.set( value.incrementAndGet() ) ); + + return new RandomAccessibleIntervalSource<>( img, new FloatType(), new AffineTransform3D(), + "Segmentation" ); + } + + private static Img< FloatType > createImageFromSpot( final Spot spot, int pixelValue ) + { + long[] dimensions = { 40, 40, 40, 1 }; + Img< FloatType > image = ArrayImgs.floats( dimensions ); + AffineTransform3D transform = new AffineTransform3D(); + AbstractSource< FloatType > frame = + new RandomAccessibleIntervalSource<>( Views.hyperSlice( image, 3, 0 ), new FloatType(), transform, "Ellipsoids" ); + + final EllipsoidIterable< FloatType > ellipsoidIterable = new EllipsoidIterable<>( frame ); + ellipsoidIterable.reset( spot ); + ellipsoidIterable.forEach( pixel -> pixel.set( pixelValue ) ); + return image; + } +} + From f87c6fd2b790516ad93a3cf59037da4bff6bb28c Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Thu, 7 Mar 2024 11:37:21 +0100 Subject: [PATCH 07/38] Add new Scijava command to start importing spots from a Fiji Image (aka ImgPlus image) * Adds ImportSpotsFromImgPlusView * Adds a demo for this Command for UI test purpose - ImportSpotsFromImgPlusViewDemo --- .../ui/ImportSpotsFromImgPlusView.java | 84 +++++++++++++++++++ .../ui/ImportSpotsFromImgPlusViewDemo.java | 32 +++++++ 2 files changed, 116 insertions(+) create mode 100644 src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java create mode 100644 src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java new file mode 100644 index 000000000..24c1d58cb --- /dev/null +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java @@ -0,0 +1,84 @@ +package org.mastodon.mamut.io.importer.labelimage.ui; + +import net.imagej.ImgPlus; +import org.mastodon.mamut.ProjectModel; +import org.mastodon.mamut.io.importer.labelimage.LabelImageUtils; +import org.scijava.ItemIO; +import org.scijava.ItemVisibility; +import org.scijava.command.Command; +import org.scijava.command.ContextCommand; +import org.scijava.plugin.Parameter; +import org.scijava.plugin.Plugin; +import java.util.Arrays; + +@Plugin( type = Command.class, label = "Import spots from ImageJ image" ) +public class ImportSpotsFromImgPlusView< T > extends ContextCommand +{ + + private static final int WIDTH = 15; + + private static final String TEMPLATE = "\n" + + "\n" + + "

Import spots from ImageJ image.

\n" + + "

This command can import spots from an image that contains a segmentation that has been processed outside Mastodon. The segmentation is assumed to be represented as a label image that matches the existing big data viewer image in all dimensions (x,y,z and t). The existing labels will be used as spot names.

\n" + + "

The value σ can be chosen. This value determines where Mastodon will draw the resulting ellipsoid. Default is 2.2σ.

" + + "

The active image in ImageJ is: %s.
\n" + + "

It has the these dimensions: x=%s, y=%s, z=%s, t=%s.

\n" + + "

The big data viewer image has these dimensions: x=%s, y=%s, z=%s, t=%s.

\n" + + "

%s

\n" + + "\n" + + "\n"; + + @Parameter( type = ItemIO.INPUT, validater = "validateImageData" ) + private ImgPlus< T > imgPlus; + + @SuppressWarnings( "unused" ) + @Parameter( visibility = ItemVisibility.MESSAGE, required = false, persist = false, initializer = "initMessage" ) + private String documentation; + + @SuppressWarnings( "unused" ) + @Parameter + private ProjectModel projectModel; + + @SuppressWarnings( "all" ) + @Parameter( label = "Sigma", min = "0", description = "Deviations from center to draw the ellipsoid border" ) + private double sigma = 2.2; + + @SuppressWarnings( "unused" ) + private void validateImageData() + { + if ( !LabelImageUtils.dimensionsMatch( projectModel.getSharedBdvData(), imgPlus ) ) + { + String imgPlusDimensions = Arrays.toString( LabelImageUtils.getImgPlusDimensions( imgPlus ) ); + String bdvDimensions = Arrays.toString( LabelImageUtils.getBdvDimensions( projectModel.getSharedBdvData() ) ); + cancel( String.format( + "The dimensions of the ImageJ image (%s) do not match the dimensions of the big data viewer image (%s)." + + "\nThus no spots can be imported." + + "\nPlease make sure the dimensions match.", + imgPlusDimensions, bdvDimensions ) ); + } + } + + @Override + public void run() + { + if ( isCanceled() ) + return; + LabelImageUtils.importSpotsFromImgPlus( imgPlus, sigma, projectModel ); + } + + @SuppressWarnings( "unused" ) + private void initMessage() + { + if ( imgPlus == null ) + return; + long[] bdvDimensions = LabelImageUtils.getBdvDimensions( projectModel.getSharedBdvData() ); + long[] imgPlusDimensions = LabelImageUtils.getImgPlusDimensions( imgPlus ); + boolean dimensionsMatch = Arrays.equals( bdvDimensions, imgPlusDimensions ); + String color = dimensionsMatch ? "green" : "red"; + String doNot = dimensionsMatch ? "" : " do not"; + String dimensionMatch = "The dimensions" + doNot + " match."; + documentation = String.format( TEMPLATE, imgPlus.getName(), imgPlusDimensions[ 0 ], imgPlusDimensions[ 1 ], imgPlusDimensions[ 2 ], + imgPlusDimensions[ 3 ], bdvDimensions[ 0 ], bdvDimensions[ 1 ], bdvDimensions[ 2 ], bdvDimensions[ 3 ], dimensionMatch ); + } +} diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java new file mode 100644 index 000000000..10e6dcec5 --- /dev/null +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java @@ -0,0 +1,32 @@ +package org.mastodon.mamut.io.importer.labelimage.ui; + +import net.imagej.ImgPlus; +import net.imglib2.img.Img; +import net.imglib2.img.array.ArrayImgs; +import net.imglib2.type.numeric.real.FloatType; +import org.mastodon.mamut.ProjectModel; +import org.mastodon.mamut.io.importer.labelimage.demo.DemoUtils; +import org.mastodon.mamut.model.Model; +import org.scijava.Context; +import org.scijava.command.CommandService; +import org.scijava.ui.UIService; + +public class ImportSpotsFromImgPlusViewDemo +{ + + public static void main( String[] args ) + { + @SuppressWarnings( "all" ) + Context context = new Context(); + UIService ui = context.service( UIService.class ); + CommandService cmd = context.service( CommandService.class ); + + Img< FloatType > img = ArrayImgs.floats( 10, 10, 10, 1 ); + ImgPlus< FloatType > imgPlus = new ImgPlus<>( img, "Dummy Image" ); + Model model = new Model(); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model ); + + ui.showUI(); + cmd.run( ImportSpotsFromImgPlusView.class, true, "imgPlus", imgPlus, "projectModel", projectModel ); + } +} From d2a9c23da7f73db358cc82c1e322a3492e36f867 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Thu, 7 Mar 2024 12:47:46 +0100 Subject: [PATCH 08/38] Add new Scijava command to start importing spots from a user selected BDV channel * Adds ImportSpotsFromBdvChannelView * Adds a demo for this Command for UI test purpose - ImportSpotsFromBdvChannelViewDemo --- .../ui/ImportSpotsFromBdvChannelView.java | 56 +++++++++++++++++++ .../ui/ImportSpotsFromBdvChannelViewDemo.java | 31 ++++++++++ 2 files changed, 87 insertions(+) create mode 100644 src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java create mode 100644 src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java new file mode 100644 index 000000000..26426518f --- /dev/null +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java @@ -0,0 +1,56 @@ +package org.mastodon.mamut.io.importer.labelimage.ui; + +import org.mastodon.mamut.ProjectModel; +import org.mastodon.mamut.io.importer.labelimage.LabelImageUtils; +import org.scijava.ItemVisibility; +import org.scijava.command.Command; +import org.scijava.command.ContextCommand; +import org.scijava.plugin.Parameter; +import org.scijava.plugin.Plugin; + +@Plugin( type = Command.class, label = "Import spots from BDV channel" ) +public class ImportSpotsFromBdvChannelView extends ContextCommand +{ + private static final int WIDTH = 15; + + @SuppressWarnings( "all" ) + @Parameter( visibility = ItemVisibility.MESSAGE, required = false, persist = false ) + private String documentation = "\n" + + "\n" + + "

Import spots from BDV channel

\n" + + "

This command can import spots from image data contained in a channel of the Big Data Viewer. The image data in that channel is assumed to represent a segmentation (i.e. a label image) that has been processed outside Mastodon. The existing labels in that channel will be used as spot names.

\n" + + "

The index of the BDV channel that contains the labels has to be chosen. Counting starts at 0.

\n" + + "

The value σ can be chosen. This value determines where Mastodon will draw the resulting ellipsoid. Default is 2.2σ.

\n" + + "\n" + + "\n"; + + @SuppressWarnings( "unused" ) + @Parameter + private ProjectModel projectModel; + + @SuppressWarnings( "all" ) + @Parameter( label = "Index of channel with labels", min = "0", description = "The index of the BDV channel that contains the labels. Counting of label channel indeces starts at 0.", validater = "validateChannelIndex" ) + private int labelChannelIndex = 0; + + @SuppressWarnings( "all" ) + @Parameter( label = "Sigma", min = "0", description = "Deviations from center to draw the ellipsoid border" ) + private double sigma = 2.2; + + @SuppressWarnings( "unused" ) + private void validateChannelIndex() + { + int numChannels = projectModel.getSharedBdvData().getSources().size(); + if ( labelChannelIndex >= numChannels ) + cancel( "You have chosen " + labelChannelIndex + " as channel index, but the available big data viewer source only contains " + + numChannels + " channels.\n" + + "Please choose a lower channel index. Channel indices start at 0." ); + } + + @Override + public void run() + { + if ( isCanceled() ) + return; + LabelImageUtils.importSpotsFromBdvChannel( projectModel, labelChannelIndex, sigma ); + } +} diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java new file mode 100644 index 000000000..d5cf56653 --- /dev/null +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java @@ -0,0 +1,31 @@ +package org.mastodon.mamut.io.importer.labelimage.ui; + +import net.imagej.ImgPlus; +import net.imglib2.img.Img; +import net.imglib2.img.array.ArrayImgs; +import net.imglib2.type.numeric.real.FloatType; +import org.mastodon.mamut.ProjectModel; +import org.mastodon.mamut.io.importer.labelimage.demo.DemoUtils; +import org.mastodon.mamut.model.Model; +import org.scijava.Context; +import org.scijava.command.CommandService; +import org.scijava.ui.UIService; + +public class ImportSpotsFromBdvChannelViewDemo +{ + + public static void main( String[] args ) + { + @SuppressWarnings( "all" ) + Context context = new Context(); + UIService ui = context.service( UIService.class ); + CommandService cmd = context.service( CommandService.class ); + + Img< FloatType > img = ArrayImgs.floats( 10, 10, 10 ); + Model model = new Model(); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model ); + + ui.showUI(); + cmd.run( ImportSpotsFromBdvChannelView.class, true, "projectModel", projectModel ); + } +} From 190c0742321324fe2e60342c5d9b05c2c5764faf Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Thu, 7 Mar 2024 13:45:24 +0100 Subject: [PATCH 09/38] Add new Plugin ImportSpotsFromLabelImagePlugin * Make the commands ImportSpotsFromImgPlus and ImportSpotFromBdvChannel available via the Plugins menu --- .../ImportSpotsFromLabelImagePlugin.java | 80 +++++++++++++++++++ 1 file changed, 80 insertions(+) create mode 100644 src/main/java/org/mastodon/mamut/io/importer/labelimage/ImportSpotsFromLabelImagePlugin.java diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ImportSpotsFromLabelImagePlugin.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ImportSpotsFromLabelImagePlugin.java new file mode 100644 index 000000000..6cf080ad6 --- /dev/null +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ImportSpotsFromLabelImagePlugin.java @@ -0,0 +1,80 @@ +package org.mastodon.mamut.io.importer.labelimage; + +import org.mastodon.app.ui.ViewMenuBuilder; +import org.mastodon.mamut.ProjectModel; +import org.mastodon.mamut.io.importer.labelimage.ui.ImportSpotsFromImgPlusView; +import org.mastodon.mamut.plugin.MamutPlugin; +import org.mastodon.mamut.io.importer.labelimage.ui.ImportSpotsFromBdvChannelView; +import org.scijava.command.CommandService; +import org.scijava.plugin.Parameter; +import org.scijava.plugin.Plugin; +import org.scijava.ui.behaviour.util.AbstractNamedAction; +import org.scijava.ui.behaviour.util.Actions; +import org.scijava.ui.behaviour.util.RunnableAction; + +import java.util.Collections; +import java.util.List; + +import static org.mastodon.app.ui.ViewMenuBuilder.item; +import static org.mastodon.app.ui.ViewMenuBuilder.menu; + +@SuppressWarnings( "unused" ) +@Plugin( type = MamutPlugin.class ) +public class ImportSpotsFromLabelImagePlugin implements MamutPlugin +{ + private static final String IMPORT_SPOTS_FROM_IMAGEJ = "Import spots from ImageJ image"; + + private static final String IMPORT_SPOTS_FROM_BDV_CHANNEL = "Import spots from BDV channel"; + + private static final String[] SHORT_CUTS = { "not mapped" }; + + private final AbstractNamedAction imageJImport; + + private final AbstractNamedAction bdvChannelImport; + + private ProjectModel appModel; + + @SuppressWarnings( "unused" ) + @Parameter + private CommandService commandService; + + @SuppressWarnings( "unused" ) + public ImportSpotsFromLabelImagePlugin() + { + imageJImport = new RunnableAction( IMPORT_SPOTS_FROM_IMAGEJ, this::importSpotsFromImageJ ); + bdvChannelImport = new RunnableAction( IMPORT_SPOTS_FROM_BDV_CHANNEL, this::importSpotsFromBdvChannel ); + } + + @Override + public void setAppPluginModel( final ProjectModel appPluginModel ) + { + this.appModel = appPluginModel; + } + + @Override + public List< ViewMenuBuilder.MenuItem > getMenuItems() + { + return Collections.singletonList( + menu( "Plugins", menu( "Imports", + menu( "Import spots from image data", item( IMPORT_SPOTS_FROM_IMAGEJ ), + item( IMPORT_SPOTS_FROM_BDV_CHANNEL ) ) ) ) ); + } + + @Override + public void installGlobalActions( Actions actions ) + { + actions.namedAction( imageJImport, SHORT_CUTS ); + actions.namedAction( bdvChannelImport, SHORT_CUTS ); + } + + private void importSpotsFromImageJ() + { + commandService.run( ImportSpotsFromImgPlusView.class, true, "projectModel", appModel ); + } + + private void importSpotsFromBdvChannel() + { + commandService.run( ImportSpotsFromBdvChannelView.class, true, "projectModel", appModel ); + } + +} From c57dc13c0ada6df83ed5c66337c5f2bc3af0680a Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Thu, 7 Mar 2024 17:53:25 +0100 Subject: [PATCH 10/38] Add new test class MeansVectorTest --- .../importer/labelimage/math/MeansVectorTest.java | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 src/test/java/org/mastodon/mamut/io/importer/labelimage/math/MeansVectorTest.java diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/MeansVectorTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/MeansVectorTest.java new file mode 100644 index 000000000..f74e9b186 --- /dev/null +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/MeansVectorTest.java @@ -0,0 +1,15 @@ +package org.mastodon.mamut.io.importer.labelimage.math; + +import org.junit.Test; + +import static org.junit.Assert.assertThrows; + +public class MeansVectorTest +{ + @Test + public void testAddValuesException() + { + MeansVector meansVector = new MeansVector( 3 ); + assertThrows( IllegalArgumentException.class, () -> meansVector.addValues( new int[] { 1, 2 } ) ); + } +} From f63ef62517bb53946b454647b3903882685f50f6 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Thu, 7 Mar 2024 18:19:28 +0100 Subject: [PATCH 11/38] Remove IllegalArgumentException regarding a condition that should not occur --- .../mastodon/mamut/io/importer/labelimage/LabelImageUtils.java | 3 --- 1 file changed, 3 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java index fc38cbc14..58d87cf70 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -199,9 +199,6 @@ private static Label[] extractLabelsFromFrame( final RandomAccessibleInterval< R int labelIndex = pixelValue - minimumLabelValue; if ( pixelValue <= 0 ) continue; - if ( labelIndex >= numLabels ) - throw new IllegalArgumentException( - "Index " + labelIndex + " is out of bounds for the number of " + numLabels + " labels in this frame." ); if ( labels[ labelIndex ] == null ) labels[ labelIndex ] = new Label( pixelValue, cursor.numDimensions() ); Label label = labels[ labelIndex ]; From 0598143acd2b299b50b4871f5e6db05c0f152adb Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 8 Mar 2024 09:00:33 +0100 Subject: [PATCH 12/38] Set active maven profile via settings file --- .ci/settings.xml | 6 ++++++ 1 file changed, 6 insertions(+) create mode 100644 .ci/settings.xml diff --git a/.ci/settings.xml b/.ci/settings.xml new file mode 100644 index 000000000..ad6b5b222 --- /dev/null +++ b/.ci/settings.xml @@ -0,0 +1,6 @@ + + + build + + From ede5eb355cc29187d329d3d8d67e912383696fe3 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 8 Mar 2024 09:43:52 +0100 Subject: [PATCH 13/38] Change settings so that sonar and build job can use 1g ram --- .github/workflows/sonarcloud.yml | 1 - pom.xml | 15 +++++++++++---- 2 files changed, 11 insertions(+), 5 deletions(-) diff --git a/.github/workflows/sonarcloud.yml b/.github/workflows/sonarcloud.yml index c1e45bbaf..6d8e9f5c1 100644 --- a/.github/workflows/sonarcloud.yml +++ b/.github/workflows/sonarcloud.yml @@ -50,7 +50,6 @@ jobs: env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # Needed to get PR information SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} # Generate a token on Sonarcloud.io, add it to the secrets of this repo with the name SONAR_TOKEN (Settings > Secrets > Actions > add new repository secret) - MAVEN_OPTS: -Xmx4096m run: | export DISPLAY=:99 sudo Xvfb -ac :99 -screen 0 1280x1024x24 > /dev/null 2>&1 & diff --git a/pom.xml b/pom.xml index 81e74fdc5..47fdbbca3 100644 --- a/pom.xml +++ b/pom.xml @@ -208,15 +208,13 @@ build - - - + org.apache.maven.plugins maven-surefire-plugin 3.1.0 - -Xmx4096m + -Xmx1g @@ -226,6 +224,15 @@ coverage + + + org.apache.maven.plugins + maven-surefire-plugin + 3.1.0 + + @{argLine} -Xmx1g + + org.jacoco jacoco-maven-plugin From be200470d37305abd414aa4dc2d22080feed6e8d Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 8 Mar 2024 10:17:21 +0100 Subject: [PATCH 14/38] Do not create a new context in DemoUtils but reuse an existing one that will be closed outside --- .../labelimage/LabelImageUtilsTest.java | 135 ++++++++++-------- .../demo/ComputeMeanAndVarianceDemo.java | 66 +++++---- .../importer/labelimage/demo/DemoUtils.java | 4 +- .../ui/ImportSpotsFromBdvChannelViewDemo.java | 2 +- .../ui/ImportSpotsFromImgPlusViewDemo.java | 2 +- 5 files changed, 111 insertions(+), 98 deletions(-) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java index 949c7a2a7..530cca263 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java @@ -29,6 +29,7 @@ import org.mastodon.mamut.model.Model; import org.mastodon.mamut.model.Spot; import org.mastodon.views.bdv.overlay.util.JamaEigenvalueDecomposition; +import org.scijava.Context; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -112,81 +113,89 @@ public void testCreateSpotFromWrongVoxelDimensions() public void testImportSpotsFromBdvChannel() { LegacyInjector.preinit(); - int pixelValue = 1; - Img< FloatType > img = createImageCubeCorners( pixelValue ); - ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model ); - LabelImageUtils.importSpotsFromBdvChannel( projectModel, 0, 1 ); - - Iterator< Spot > iter = model.getGraph().vertices().iterator(); - Spot spot = iter.next(); - double[][] covarianceMatrix = new double[ 3 ][ 3 ]; - spot.getCovariance( covarianceMatrix ); - final JamaEigenvalueDecomposition eigenvalueDecomposition = new JamaEigenvalueDecomposition( 3 ); - eigenvalueDecomposition.decomposeSymmetric( covarianceMatrix ); - final double[] eigenValues = eigenvalueDecomposition.getRealEigenvalues(); - double axisA = Math.sqrt( eigenValues[ 0 ] ); - double axisB = Math.sqrt( eigenValues[ 1 ] ); - double axisC = Math.sqrt( eigenValues[ 2 ] ); - - assertNotNull( spot ); - assertEquals( 0, spot.getTimepoint() ); - assertEquals( 2, spot.getDoublePosition( 0 ), 0.01 ); - assertEquals( 2, spot.getDoublePosition( 1 ), 0.01 ); - assertEquals( 2, spot.getDoublePosition( 2 ), 0.01 ); - assertEquals( 0, spot.getInternalPoolIndex() ); - assertEquals( String.valueOf( pixelValue ), spot.getLabel() ); - assertEquals( 1, axisA, 0.1d ); - assertEquals( 1, axisB, 0.1d ); - assertEquals( 1, axisC, 0.1d ); - assertEquals( 1, spot.getBoundingSphereRadiusSquared(), 0.2d ); - assertFalse( iter.hasNext() ); + try (Context context = new Context()) + { + int pixelValue = 1; + Img< FloatType > img = createImageCubeCorners( pixelValue ); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model, context ); + LabelImageUtils.importSpotsFromBdvChannel( projectModel, 0, 1 ); + + Iterator< Spot > iter = model.getGraph().vertices().iterator(); + Spot spot = iter.next(); + double[][] covarianceMatrix = new double[ 3 ][ 3 ]; + spot.getCovariance( covarianceMatrix ); + final JamaEigenvalueDecomposition eigenvalueDecomposition = new JamaEigenvalueDecomposition( 3 ); + eigenvalueDecomposition.decomposeSymmetric( covarianceMatrix ); + final double[] eigenValues = eigenvalueDecomposition.getRealEigenvalues(); + double axisA = Math.sqrt( eigenValues[ 0 ] ); + double axisB = Math.sqrt( eigenValues[ 1 ] ); + double axisC = Math.sqrt( eigenValues[ 2 ] ); + + assertNotNull( spot ); + assertEquals( 0, spot.getTimepoint() ); + assertEquals( 2, spot.getDoublePosition( 0 ), 0.01 ); + assertEquals( 2, spot.getDoublePosition( 1 ), 0.01 ); + assertEquals( 2, spot.getDoublePosition( 2 ), 0.01 ); + assertEquals( 0, spot.getInternalPoolIndex() ); + assertEquals( String.valueOf( pixelValue ), spot.getLabel() ); + assertEquals( 1, axisA, 0.1d ); + assertEquals( 1, axisB, 0.1d ); + assertEquals( 1, axisC, 0.1d ); + assertEquals( 1, spot.getBoundingSphereRadiusSquared(), 0.2d ); + assertFalse( iter.hasNext() ); + } } @Test public void testImportSpotsFromImgPlus() { LegacyInjector.preinit(); - double[] center = { 18, 21, 22 }; - double[][] givenCovariance = { - { 33, 14, 0 }, - { 14, 32, 0 }, - { 0, 0, 95 } - }; - Spot spot = model.getGraph().addVertex().init( 0, center, givenCovariance ); - int pixelValue = 1; - Img< FloatType > image = createImageFromSpot( spot, pixelValue ); - ImgPlus< FloatType > imgPlus = createImgPlus( image, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); - ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model ); - LabelImageUtils.importSpotsFromImgPlus( imgPlus, 2.1, projectModel ); - - Iterator< Spot > iterator = model.getGraph().vertices().iterator(); - iterator.next(); - Spot createdSpot = iterator.next(); - double[] mean = createdSpot.positionAsDoubleArray(); - double[][] computedCovariance = new double[ 3 ][ 3 ]; - createdSpot.getCovariance( computedCovariance ); - - logger.debug( "Given center: {}", Arrays.toString( center ) ); - logger.debug( "Computed mean: {}", Arrays.toString( mean ) ); - logger.debug( "Given covariance: {}", Arrays.deepToString( givenCovariance ) ); - logger.debug( "Computed covariance: {}", Arrays.deepToString( computedCovariance ) ); - - assertArrayEquals( center, mean, 0.01d ); - assertArrayEquals( givenCovariance[ 0 ], computedCovariance[ 0 ], 5d ); - assertArrayEquals( givenCovariance[ 1 ], computedCovariance[ 1 ], 5d ); - assertArrayEquals( givenCovariance[ 2 ], computedCovariance[ 2 ], 5d ); - assertEquals( String.valueOf( pixelValue ), createdSpot.getLabel() ); + try (Context context = new Context()) + { + double[] center = { 18, 21, 22 }; + double[][] givenCovariance = { + { 33, 14, 0 }, + { 14, 32, 0 }, + { 0, 0, 95 } + }; + Spot spot = model.getGraph().addVertex().init( 0, center, givenCovariance ); + int pixelValue = 1; + Img< FloatType > image = createImageFromSpot( spot, pixelValue ); + ImgPlus< FloatType > imgPlus = createImgPlus( image, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model, context ); + LabelImageUtils.importSpotsFromImgPlus( imgPlus, 2.1, projectModel ); + + Iterator< Spot > iterator = model.getGraph().vertices().iterator(); + iterator.next(); + Spot createdSpot = iterator.next(); + double[] mean = createdSpot.positionAsDoubleArray(); + double[][] computedCovariance = new double[ 3 ][ 3 ]; + createdSpot.getCovariance( computedCovariance ); + + logger.debug( "Given center: {}", Arrays.toString( center ) ); + logger.debug( "Computed mean: {}", Arrays.toString( mean ) ); + logger.debug( "Given covariance: {}", Arrays.deepToString( givenCovariance ) ); + logger.debug( "Computed covariance: {}", Arrays.deepToString( computedCovariance ) ); + + assertArrayEquals( center, mean, 0.01d ); + assertArrayEquals( givenCovariance[ 0 ], computedCovariance[ 0 ], 5d ); + assertArrayEquals( givenCovariance[ 1 ], computedCovariance[ 1 ], 5d ); + assertArrayEquals( givenCovariance[ 2 ], computedCovariance[ 2 ], 5d ); + assertEquals( String.valueOf( pixelValue ), createdSpot.getLabel() ); + } } @Test public void testDimensionsMatch() { LegacyInjector.preinit(); - Img< FloatType > image = ArrayImgs.floats( 10, 10, 10, 2 ); - Model model = new Model(); - ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model ); - ImgPlus< FloatType > imgPlus = createImgPlus( image, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); - assertTrue( LabelImageUtils.dimensionsMatch( projectModel.getSharedBdvData(), imgPlus ) ); + try (final Context context = new Context()) + { + Img< FloatType > image = ArrayImgs.floats( 10, 10, 10, 2 ); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model, context ); + ImgPlus< FloatType > imgPlus = createImgPlus( image, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); + assertTrue( LabelImageUtils.dimensionsMatch( projectModel.getSharedBdvData(), imgPlus ) ); + } } @Test diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java index ef6423f4e..734bec690 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java @@ -40,6 +40,7 @@ import net.imglib2.util.StopWatch; import org.mastodon.mamut.io.importer.labelimage.LabelImageUtils; import org.mastodon.mamut.model.Model; +import org.scijava.Context; import java.util.Arrays; @@ -56,42 +57,45 @@ public class ComputeMeanAndVarianceDemo public static void main( String[] args ) { LegacyInjector.preinit(); + try (final Context context = new Context()) + { + double[] center = { 40, 50, 60 }; + double[][] givenCovariance = { + { 400, 20, -10 }, + { 20, 200, 30 }, + { -10, 30, 100 } + }; - double[] center = { 40, 50, 60 }; - double[][] givenCovariance = { - { 400, 20, -10 }, - { 20, 200, 30 }, - { -10, 30, 100 } - }; + long[] dimensions = { 100, 100, 100 }; + int background = 0; + int pixelValue = 1; + Img< FloatType > image = DemoUtils.generateExampleImage( center, givenCovariance, dimensions, background, pixelValue ); - long[] dimensions = { 100, 100, 100 }; - int background = 0; - int pixelValue = 1; - Img< FloatType > image = DemoUtils.generateExampleImage( center, givenCovariance, dimensions, background, pixelValue ); + StopWatch stopWatchOnline = StopWatch.createAndStart(); + Pair< double[], double[][] > results = + DemoUtils.computeMeanCovarianceOnline( Cast.unchecked( image ), pixelValue, Math.sqrt( 5 ) ); + double[] onlineMean = results.getA(); + double[][] onlineCovariance = results.getB(); + stopWatchOnline.stop(); - StopWatch stopWatchOnline = StopWatch.createAndStart(); - Pair< double[], double[][] > results = DemoUtils.computeMeanCovarianceOnline( Cast.unchecked( image ), pixelValue, Math.sqrt( 5 ) ); - double[] onlineMean = results.getA(); - double[][] onlineCovariance = results.getB(); - stopWatchOnline.stop(); + StopWatch stopWatchTwoPass = StopWatch.createAndStart(); + double[] mean = computeMean( image, pixelValue ); + double[][] computedCovariance = computeCovariance( image, mean, pixelValue ); + stopWatchTwoPass.stop(); - StopWatch stopWatchTwoPass = StopWatch.createAndStart(); - double[] mean = computeMean( image, pixelValue ); - double[][] computedCovariance = computeCovariance( image, mean, pixelValue ); - stopWatchTwoPass.stop(); + System.out.println( "Given center: " + Arrays.toString( center ) ); + System.out.println( "Computed mean: " + Arrays.toString( mean ) ); + System.out.println( "Computed mean online: " + Arrays.toString( onlineMean ) ); + System.out.println( "Given covariance: " + Arrays.deepToString( givenCovariance ) ); + System.out.println( "Computed covariance: " + Arrays.deepToString( computedCovariance ) ); + System.out.println( "Computed covariance online: " + Arrays.deepToString( onlineCovariance ) ); + System.out.println( "Time to compute mean and covariance: \n" + stopWatchTwoPass.nanoTime() / 1e9 + " nano seconds" ); + System.out.println( "Time to compute mean and covariance online: \n" + stopWatchOnline.nanoTime() / 1e9 + " nano seconds" ); - System.out.println( "Given center: " + Arrays.toString( center ) ); - System.out.println( "Computed mean: " + Arrays.toString( mean ) ); - System.out.println( "Computed mean online: " + Arrays.toString( onlineMean ) ); - System.out.println( "Given covariance: " + Arrays.deepToString( givenCovariance ) ); - System.out.println( "Computed covariance: " + Arrays.deepToString( computedCovariance ) ); - System.out.println( "Computed covariance online: " + Arrays.deepToString( onlineCovariance ) ); - System.out.println( "Time to compute mean and covariance: \n" + stopWatchTwoPass.nanoTime() / 1e9 + " nano seconds" ); - System.out.println( "Time to compute mean and covariance online: \n" + stopWatchOnline.nanoTime() / 1e9 + " nano seconds" ); - - Model model = new Model(); - model.getGraph().addVertex().init( 0, onlineMean, onlineCovariance ); - DemoUtils.showBdvWindow( DemoUtils.wrapAsAppModel( image, model ) ); + Model model = new Model(); + model.getGraph().addVertex().init( 0, onlineMean, onlineCovariance ); + DemoUtils.showBdvWindow( DemoUtils.wrapAsAppModel( image, model, context ) ); + } } /** diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java index 683ea707b..3e2d6c88c 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java @@ -61,10 +61,10 @@ private DemoUtils() // prevent from instantiation } - public static ProjectModel wrapAsAppModel( final Img< FloatType > image, final Model model ) + public static ProjectModel wrapAsAppModel( final Img< FloatType > image, final Model model, final Context context ) { final SharedBigDataViewerData sharedBigDataViewerData = asSharedBdvDataXyz( image ); - return ProjectModel.create( new Context(), model, sharedBigDataViewerData, null ); + return ProjectModel.create( context, model, sharedBigDataViewerData, null ); } public static SharedBigDataViewerData asSharedBdvDataXyz( final Img< FloatType > image1 ) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java index d5cf56653..343768cd9 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java @@ -23,7 +23,7 @@ public static void main( String[] args ) Img< FloatType > img = ArrayImgs.floats( 10, 10, 10 ); Model model = new Model(); - ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model ); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model, context ); ui.showUI(); cmd.run( ImportSpotsFromBdvChannelView.class, true, "projectModel", projectModel ); diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java index 10e6dcec5..3565f2435 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java @@ -24,7 +24,7 @@ public static void main( String[] args ) Img< FloatType > img = ArrayImgs.floats( 10, 10, 10, 1 ); ImgPlus< FloatType > imgPlus = new ImgPlus<>( img, "Dummy Image" ); Model model = new Model(); - ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model ); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model, context ); ui.showUI(); cmd.run( ImportSpotsFromImgPlusView.class, true, "imgPlus", imgPlus, "projectModel", projectModel ); From 5d6a195c2e33dc1cc9b8d9acefc69ce59c11d07b Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 8 Mar 2024 11:55:36 +0100 Subject: [PATCH 15/38] Set sigma to default to 2.1 as this seems to yield the best results --- .../importer/labelimage/ui/ImportSpotsFromBdvChannelView.java | 4 ++-- .../io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java | 4 ++-- .../importer/labelimage/demo/ComputeMeanAndVarianceDemo.java | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java index 26426518f..d8f01a9c7 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java @@ -20,7 +20,7 @@ public class ImportSpotsFromBdvChannelView extends ContextCommand + "

Import spots from BDV channel

\n" + "

This command can import spots from image data contained in a channel of the Big Data Viewer. The image data in that channel is assumed to represent a segmentation (i.e. a label image) that has been processed outside Mastodon. The existing labels in that channel will be used as spot names.

\n" + "

The index of the BDV channel that contains the labels has to be chosen. Counting starts at 0.

\n" - + "

The value σ can be chosen. This value determines where Mastodon will draw the resulting ellipsoid. Default is 2.2σ.

\n" + + "

The value σ can be chosen. This value determines where Mastodon will draw the resulting ellipsoid. Default is 2.1σ.

\n" + "\n" + "\n"; @@ -34,7 +34,7 @@ public class ImportSpotsFromBdvChannelView extends ContextCommand @SuppressWarnings( "all" ) @Parameter( label = "Sigma", min = "0", description = "Deviations from center to draw the ellipsoid border" ) - private double sigma = 2.2; + private double sigma = 2.1; @SuppressWarnings( "unused" ) private void validateChannelIndex() diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java index 24c1d58cb..6ebf154f1 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java @@ -21,7 +21,7 @@ public class ImportSpotsFromImgPlusView< T > extends ContextCommand + "\n" + "

Import spots from ImageJ image.

\n" + "

This command can import spots from an image that contains a segmentation that has been processed outside Mastodon. The segmentation is assumed to be represented as a label image that matches the existing big data viewer image in all dimensions (x,y,z and t). The existing labels will be used as spot names.

\n" - + "

The value σ can be chosen. This value determines where Mastodon will draw the resulting ellipsoid. Default is 2.2σ.

" + + "

The value σ can be chosen. This value determines where Mastodon will draw the resulting ellipsoid. Default is 2.1σ.

" + "

The active image in ImageJ is: %s.
\n" + "

It has the these dimensions: x=%s, y=%s, z=%s, t=%s.

\n" + "

The big data viewer image has these dimensions: x=%s, y=%s, z=%s, t=%s.

\n" @@ -42,7 +42,7 @@ public class ImportSpotsFromImgPlusView< T > extends ContextCommand @SuppressWarnings( "all" ) @Parameter( label = "Sigma", min = "0", description = "Deviations from center to draw the ellipsoid border" ) - private double sigma = 2.2; + private double sigma = 2.1; @SuppressWarnings( "unused" ) private void validateImageData() diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java index 734bec690..b53c01378 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java @@ -73,7 +73,7 @@ public static void main( String[] args ) StopWatch stopWatchOnline = StopWatch.createAndStart(); Pair< double[], double[][] > results = - DemoUtils.computeMeanCovarianceOnline( Cast.unchecked( image ), pixelValue, Math.sqrt( 5 ) ); + DemoUtils.computeMeanCovarianceOnline( Cast.unchecked( image ), pixelValue, 2.1 ); double[] onlineMean = results.getA(); double[][] onlineCovariance = results.getB(); stopWatchOnline.stop(); From 88e464286b30b635654eb73a5712eaf5daf748aa Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 8 Mar 2024 11:17:24 +0100 Subject: [PATCH 16/38] Remove creating new Context() from ExportLabelImageControllerTest --- .../ExportLabelImageControllerTest.java | 93 ++++++++++--------- 1 file changed, 49 insertions(+), 44 deletions(-) diff --git a/src/test/java/org/mastodon/mamut/io/exporter/labelimage/ExportLabelImageControllerTest.java b/src/test/java/org/mastodon/mamut/io/exporter/labelimage/ExportLabelImageControllerTest.java index 93d5bbd1e..d9be57cc0 100644 --- a/src/test/java/org/mastodon/mamut/io/exporter/labelimage/ExportLabelImageControllerTest.java +++ b/src/test/java/org/mastodon/mamut/io/exporter/labelimage/ExportLabelImageControllerTest.java @@ -88,41 +88,43 @@ public void setUp() @Test public void testSaveLabelImageToFile() throws IOException { - AbstractSource< IntType > source = createRandomSource(); - Context context = new Context(); - TimePoint timePoint = new TimePoint( timepoint ); - List< TimePoint > timePoints = Collections.singletonList( timePoint ); - VoxelDimensions voxelDimensions = new DefaultVoxelDimensions( 3 ); - voxelDimensions.dimensions( new double[] { 1, 1, 1 } ); - ExportLabelImageController exportLabelImageController = - new ExportLabelImageController( model, timePoints, Cast.unchecked( source ), context, voxelDimensions ); - File outputSpot = getTempFile( "resultSpot" ); - File outputBranchSpot = getTempFile( "resultBranchSpot" ); - File outputTrack = getTempFile( "resultTrack" ); - exportLabelImageController.saveLabelImageToFile( LabelOptions.SPOT_ID, outputSpot, false, 1 ); - exportLabelImageController.saveLabelImageToFile( LabelOptions.BRANCH_SPOT_ID, outputBranchSpot, false, 1 ); - exportLabelImageController.saveLabelImageToFile( LabelOptions.TRACK_ID, outputTrack, false, 1 ); - - ImgOpener imgOpener = new ImgOpener( context ); - SCIFIOImgPlus< IntType > imgSpot = getIntTypeSCIFIOImgPlus( imgOpener, outputSpot ); - SCIFIOImgPlus< IntType > imgBranchSpot = getIntTypeSCIFIOImgPlus( imgOpener, outputBranchSpot ); - SCIFIOImgPlus< IntType > imgTrack = getIntTypeSCIFIOImgPlus( imgOpener, outputTrack ); - - // check that the spot id / branchSpot id / track id is used as value in the center of the spot - assertNotNull( imgSpot ); - assertEquals( 3, imgSpot.dimensionsAsLongArray().length ); - assertEquals( 100, imgSpot.dimension( 0 ) ); - assertEquals( 100, imgSpot.dimension( 1 ) ); - assertEquals( 100, imgSpot.dimension( 2 ) ); - assertEquals( spot.getInternalPoolIndex() + ExportLabelImageController.LABEL_ID_OFFSET, imgSpot.getAt( center ).get() ); - assertEquals( - branchSpot.getInternalPoolIndex() + ExportLabelImageController.LABEL_ID_OFFSET, imgBranchSpot.getAt( center ).get() ); - assertEquals( ExportLabelImageController.LABEL_ID_OFFSET, imgTrack.getAt( center ).get() ); - // check that there is no value set outside the ellipsoid of the spot - long[] corner = new long[] { 0, 0, 0 }; - assertEquals( 0, imgSpot.getAt( corner ).get() ); - assertEquals( 0, imgBranchSpot.getAt( corner ).get() ); - assertEquals( 0, imgTrack.getAt( corner ).get() ); + try (final Context context = new Context()) + { + AbstractSource< IntType > source = createRandomSource(); + TimePoint timePoint = new TimePoint( timepoint ); + List< TimePoint > timePoints = Collections.singletonList( timePoint ); + VoxelDimensions voxelDimensions = new DefaultVoxelDimensions( 3 ); + voxelDimensions.dimensions( new double[] { 1, 1, 1 } ); + ExportLabelImageController exportLabelImageController = + new ExportLabelImageController( model, timePoints, Cast.unchecked( source ), context, voxelDimensions ); + File outputSpot = getTempFile( "resultSpot" ); + File outputBranchSpot = getTempFile( "resultBranchSpot" ); + File outputTrack = getTempFile( "resultTrack" ); + exportLabelImageController.saveLabelImageToFile( LabelOptions.SPOT_ID, outputSpot, false, 1 ); + exportLabelImageController.saveLabelImageToFile( LabelOptions.BRANCH_SPOT_ID, outputBranchSpot, false, 1 ); + exportLabelImageController.saveLabelImageToFile( LabelOptions.TRACK_ID, outputTrack, false, 1 ); + + ImgOpener imgOpener = new ImgOpener( context ); + SCIFIOImgPlus< IntType > imgSpot = getIntTypeSCIFIOImgPlus( imgOpener, outputSpot ); + SCIFIOImgPlus< IntType > imgBranchSpot = getIntTypeSCIFIOImgPlus( imgOpener, outputBranchSpot ); + SCIFIOImgPlus< IntType > imgTrack = getIntTypeSCIFIOImgPlus( imgOpener, outputTrack ); + + // check that the spot id / branchSpot id / track id is used as value in the center of the spot + assertNotNull( imgSpot ); + assertEquals( 3, imgSpot.dimensionsAsLongArray().length ); + assertEquals( 100, imgSpot.dimension( 0 ) ); + assertEquals( 100, imgSpot.dimension( 1 ) ); + assertEquals( 100, imgSpot.dimension( 2 ) ); + assertEquals( spot.getInternalPoolIndex() + ExportLabelImageController.LABEL_ID_OFFSET, imgSpot.getAt( center ).get() ); + assertEquals( + branchSpot.getInternalPoolIndex() + ExportLabelImageController.LABEL_ID_OFFSET, imgBranchSpot.getAt( center ).get() ); + assertEquals( ExportLabelImageController.LABEL_ID_OFFSET, imgTrack.getAt( center ).get() ); + // check that there is no value set outside the ellipsoid of the spot + long[] corner = new long[] { 0, 0, 0 }; + assertEquals( 0, imgSpot.getAt( corner ).get() ); + assertEquals( 0, imgBranchSpot.getAt( corner ).get() ); + assertEquals( 0, imgTrack.getAt( corner ).get() ); + } } private static SCIFIOImgPlus< IntType > getIntTypeSCIFIOImgPlus( ImgOpener imgOpener, File outputSpot ) @@ -142,15 +144,18 @@ private static File getTempFile( final String prefix ) throws IOException @Test public void testExceptions() throws IOException { - ExportLabelImageController controller = - new ExportLabelImageController( model, Collections.emptyList(), null, new Context(), null ); - File file = File.createTempFile( "foo", "foo" ); - file.deleteOnExit(); - assertThrows( - IllegalArgumentException.class, - () -> controller.saveLabelImageToFile( LabelOptions.SPOT_ID, null, false, 1 ) - ); - assertThrows( IllegalArgumentException.class, () -> controller.saveLabelImageToFile( null, file, false, 1 ) ); + try (final Context context = new Context()) + { + ExportLabelImageController controller = + new ExportLabelImageController( model, Collections.emptyList(), null, context, null ); + File file = File.createTempFile( "foo", "foo" ); + file.deleteOnExit(); + assertThrows( + IllegalArgumentException.class, + () -> controller.saveLabelImageToFile( LabelOptions.SPOT_ID, null, false, 1 ) + ); + assertThrows( IllegalArgumentException.class, () -> controller.saveLabelImageToFile( null, file, false, 1 ) ); + } } private static AbstractSource< IntType > createRandomSource() From 5ab71ede8d7d9c7b29b3b3b46c0ce7b281b356a3 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 14:47:11 +0100 Subject: [PATCH 17/38] Replace channel index selection for BDV channel import by BDV source selection --- .../importer/labelimage/LabelImageUtils.java | 10 ++---- .../ui/ImportSpotsFromBdvChannelView.java | 32 +++++++++++-------- .../labelimage/LabelImageUtilsTest.java | 3 +- 3 files changed, 23 insertions(+), 22 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java index 58d87cf70..daefebd1f 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -291,21 +291,15 @@ public static void importSpotsFromImgPlus( final ImgPlus< ? > imgPlus, final dou /** * Imports spots from the given big data viewer channel into the given project model. * @param projectModel the project model to add the spots to. - * @param labelChannelIndex the index of the channel to import the spots from. This channel should contain the labels. + * @param source the source to import the spots from. * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. * @throws IllegalArgumentException if the label channel index is out of bounds, i.e. if it is greater than the number of channels in the big data viewer source contained in the project model. */ - public static void importSpotsFromBdvChannel( final ProjectModel projectModel, final int labelChannelIndex, final double sigma ) + public static void importSpotsFromBdvChannel( final ProjectModel projectModel, final Source< ? > source, final double sigma ) { final SharedBigDataViewerData sharedBigDataViewerData = projectModel.getSharedBdvData(); - int numChannels = sharedBigDataViewerData.getSources().size(); - if ( labelChannelIndex >= numChannels ) - throw new IllegalArgumentException( "The label channel index " + labelChannelIndex - + " is out of bounds. The available big data viewer source only contains " + numChannels + " channels." ); final AbstractSequenceDescription< ?, ?, ? > sequenceDescription = sharedBigDataViewerData.getSpimData().getSequenceDescription(); final List< TimePoint > frames = sequenceDescription.getTimePoints().getTimePointsOrdered(); - final Source< ? extends RealType< ? > > source = - Cast.unchecked( sharedBigDataViewerData.getSources().get( labelChannelIndex ).getSpimSource() ); // NB: Use the dimensions of the first source and the first time point only without checking if they are equal in other sources and time points. final VoxelDimensions voxelDimensions = sequenceDescription.getViewSetups().get( 0 ).getVoxelSize(); IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java index d8f01a9c7..b6bcaf69c 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java @@ -1,15 +1,20 @@ package org.mastodon.mamut.io.importer.labelimage.ui; +import bdv.viewer.SourceAndConverter; import org.mastodon.mamut.ProjectModel; import org.mastodon.mamut.io.importer.labelimage.LabelImageUtils; import org.scijava.ItemVisibility; import org.scijava.command.Command; -import org.scijava.command.ContextCommand; +import org.scijava.command.DynamicCommand; import org.scijava.plugin.Parameter; import org.scijava.plugin.Plugin; +import java.util.ArrayList; +import java.util.List; +import java.util.Optional; + @Plugin( type = Command.class, label = "Import spots from BDV channel" ) -public class ImportSpotsFromBdvChannelView extends ContextCommand +public class ImportSpotsFromBdvChannelView extends DynamicCommand { private static final int WIDTH = 15; @@ -28,29 +33,30 @@ public class ImportSpotsFromBdvChannelView extends ContextCommand @Parameter private ProjectModel projectModel; - @SuppressWarnings( "all" ) - @Parameter( label = "Index of channel with labels", min = "0", description = "The index of the BDV channel that contains the labels. Counting of label channel indeces starts at 0.", validater = "validateChannelIndex" ) - private int labelChannelIndex = 0; + @Parameter( label = "Instance segmentation source", initializer = "initImgSourceChoices" ) + public String imgSourceChoice = ""; @SuppressWarnings( "all" ) @Parameter( label = "Sigma", min = "0", description = "Deviations from center to draw the ellipsoid border" ) private double sigma = 2.1; @SuppressWarnings( "unused" ) - private void validateChannelIndex() + private void initImgSourceChoices() { - int numChannels = projectModel.getSharedBdvData().getSources().size(); - if ( labelChannelIndex >= numChannels ) - cancel( "You have chosen " + labelChannelIndex + " as channel index, but the available big data viewer source only contains " - + numChannels + " channels.\n" - + "Please choose a lower channel index. Channel indices start at 0." ); + final ArrayList< SourceAndConverter< ? > > sources = projectModel.getSharedBdvData().getSources(); + List< String > choices = new ArrayList<>(); + for ( SourceAndConverter< ? > source : sources ) + choices.add( source.getSpimSource().getName() ); + getInfo().getMutableInput( "imgSourceChoice", String.class ).setChoices( choices ); } @Override public void run() { - if ( isCanceled() ) + Optional< SourceAndConverter< ? > > sourceAndConverter = projectModel.getSharedBdvData().getSources().stream() + .filter( source -> source.getSpimSource().getName().equals( imgSourceChoice ) ).findFirst(); + if ( !sourceAndConverter.isPresent() ) return; - LabelImageUtils.importSpotsFromBdvChannel( projectModel, labelChannelIndex, sigma ); + LabelImageUtils.importSpotsFromBdvChannel( projectModel, sourceAndConverter.get().getSpimSource(), sigma ); } } diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java index 530cca263..a6a555ca4 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java @@ -118,7 +118,8 @@ public void testImportSpotsFromBdvChannel() int pixelValue = 1; Img< FloatType > img = createImageCubeCorners( pixelValue ); ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model, context ); - LabelImageUtils.importSpotsFromBdvChannel( projectModel, 0, 1 ); + LabelImageUtils.importSpotsFromBdvChannel( projectModel, projectModel.getSharedBdvData().getSources().get( 0 ).getSpimSource(), + 1 ); Iterator< Spot > iter = model.getGraph().vertices().iterator(); Spot spot = iter.next(); From 35c4ac78849f55d02cc91fe1e4c88e9780ccf5b0 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 14:49:37 +0100 Subject: [PATCH 18/38] Change menu entry to "Import spots from label image" --- .../io/importer/labelimage/ImportSpotsFromLabelImagePlugin.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ImportSpotsFromLabelImagePlugin.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ImportSpotsFromLabelImagePlugin.java index 6cf080ad6..bd8525190 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ImportSpotsFromLabelImagePlugin.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ImportSpotsFromLabelImagePlugin.java @@ -56,7 +56,7 @@ public List< ViewMenuBuilder.MenuItem > getMenuItems() { return Collections.singletonList( menu( "Plugins", menu( "Imports", - menu( "Import spots from image data", item( IMPORT_SPOTS_FROM_IMAGEJ ), + menu( "Import spots from label image", item( IMPORT_SPOTS_FROM_IMAGEJ ), item( IMPORT_SPOTS_FROM_BDV_CHANNEL ) ) ) ) ); } From 6da484f256553e4007343bed68505644b8ba5b5d Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 14:53:57 +0100 Subject: [PATCH 19/38] Make showing progress in the status service more correct. * The frameId previously used to update progress could in some cases be higher than numTimepoints. --- .../mamut/io/importer/labelimage/LabelImageUtils.java | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java index daefebd1f..c41a7e188 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -64,13 +64,14 @@ static void createSpotsFromLabelImage( final IntFunction< RandomAccessibleInterv try { int numTimepoints = frames.size(); - for ( TimePoint frame : frames ) + for ( int i = 0; i < numTimepoints; i++ ) { + TimePoint frame = frames.get( i ); int frameId = frame.getId(); final RandomAccessibleInterval< RealType< ? > > rai = frameProvider.apply( frameId ); count += createSpotsForFrame( graph, rai, frameId, voxelDimensions, sigma ); if ( statusService != null ) - statusService.showProgress( frameId + 1, numTimepoints ); + statusService.showProgress( i + 1, numTimepoints ); } model.setUndoPoint(); } From 92480dc1c245aca57632f973b188ede76eb63a80 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 15:43:37 +0100 Subject: [PATCH 20/38] An improved version of ImportSpotsFromImgPlusViewDemo that allows to fully run the command and see the results Co-authored-by: Matthias Arzt --- .../ui/ImportSpotsFromImgPlusViewDemo.java | 42 +++++++++++++++---- 1 file changed, 35 insertions(+), 7 deletions(-) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java index 3565f2435..e99a215b7 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java @@ -1,12 +1,19 @@ package org.mastodon.mamut.io.importer.labelimage.ui; -import net.imagej.ImgPlus; +import java.util.Arrays; +import java.util.List; + import net.imglib2.img.Img; -import net.imglib2.img.array.ArrayImgs; +import net.imglib2.img.ImgView; +import net.imglib2.img.display.imagej.ImageJFunctions; import net.imglib2.type.numeric.real.FloatType; +import net.imglib2.view.Views; + +import org.mastodon.mamut.MainWindow; import org.mastodon.mamut.ProjectModel; import org.mastodon.mamut.io.importer.labelimage.demo.DemoUtils; import org.mastodon.mamut.model.Model; +import org.mastodon.mamut.views.bdv.MamutViewBdv; import org.scijava.Context; import org.scijava.command.CommandService; import org.scijava.ui.UIService; @@ -21,12 +28,33 @@ public static void main( String[] args ) UIService ui = context.service( UIService.class ); CommandService cmd = context.service( CommandService.class ); - Img< FloatType > img = ArrayImgs.floats( 10, 10, 10, 1 ); - ImgPlus< FloatType > imgPlus = new ImgPlus<>( img, "Dummy Image" ); - Model model = new Model(); - ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model, context ); + Img< FloatType > image = generateExampleImage(); + // show image in ImageJ ui.showUI(); - cmd.run( ImportSpotsFromImgPlusView.class, true, "imgPlus", imgPlus, "projectModel", projectModel ); + ImageJFunctions.wrap( image, "label image" ).show(); + // open the image in Mastodon + Model model = new Model(); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model, context ); + new MainWindow( projectModel ).setVisible( true ); + projectModel.getWindowManager().createView( MamutViewBdv.class ); + // run import spots command + cmd.run( ImportSpotsFromImgPlusView.class, true, "projectModel", projectModel ); + } + + private static Img< FloatType > generateExampleImage() + { + double[] center = { 40, 50, 60 }; + double[][] givenCovariance = { + { 400, 20, -10 }, + { 20, 200, 30 }, + { -10, 30, 100 } + }; + long[] dimensions = { 100, 100, 100 }; + int background = 0; + int pixelValue = 1; + Img< FloatType > frame = DemoUtils.generateExampleImage( center, givenCovariance, dimensions, background, pixelValue ); + List< Img< FloatType > > twoIdenticalFrames = Arrays.asList( frame, frame ); + return ImgView.wrap( Views.stack( twoIdenticalFrames ) ); } } From 9bda7fef55d04297d51460e910e2bfae0619bd9c Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 15:13:50 +0100 Subject: [PATCH 21/38] Hard code results for Covariance tests instead of using apache commons math to compute it --- pom.xml | 9 +-------- .../labelimage/math/CovarianceMatrixTest.java | 13 +++++-------- .../io/importer/labelimage/math/CovarianceTest.java | 4 +--- 3 files changed, 7 insertions(+), 19 deletions(-) diff --git a/pom.xml b/pom.xml index 47fdbbca3..d03eafcae 100644 --- a/pom.xml +++ b/pom.xml @@ -19,7 +19,7 @@ Mastodon authors Stefan Hahmann - 1.0.0-beta-29 + 1.0.0-beta-30-SNAPSHOT org.mastodon 2.97.1 @@ -145,13 +145,6 @@ imagej-legacy test - - - - org.apache.commons - commons-math3 - test - diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java index d0c6d213b..104ae640e 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java @@ -2,6 +2,8 @@ import org.junit.Test; +import java.util.Arrays; + import static org.junit.Assert.assertArrayEquals; import static org.junit.Assert.assertThrows; @@ -10,19 +12,14 @@ public class CovarianceMatrixTest @Test public void testGet() { - double[] x = { 1, 2, 3, 4, 5 }; - double[] y = { 2, 3, 4, 5, 6 }; int[][] dataInt = { { 1, 2 }, { 2, 3 }, { 3, 4 }, { 4, 5 }, { 5, 6 } }; - org.apache.commons.math3.stat.correlation.Covariance covarianceApache = - new org.apache.commons.math3.stat.correlation.Covariance(); - double[][] expected = { { covarianceApache.covariance( x, x ), covarianceApache.covariance( x, y ) }, - { covarianceApache.covariance( y, x ), covarianceApache.covariance( y, y ) } }; CovarianceMatrix matrix = new CovarianceMatrix( 2 ); for ( int[] values : dataInt ) matrix.addValues( values ); double[][] actual = matrix.get(); - assertArrayEquals( expected[ 0 ], actual[ 0 ], 0.0001d ); - assertArrayEquals( expected[ 1 ], actual[ 1 ], 0.0001d ); + + assertArrayEquals( new double[] { 2.5d, 2.5d }, actual[ 0 ], 0.0001d ); + assertArrayEquals( new double[] { 2.5d, 2.5d }, actual[ 1 ], 0.0001d ); } @Test diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java index 41f0b3c22..bfa232cda 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java @@ -12,14 +12,12 @@ public void testGet() { double[] x = { 1, 2, 3, 4, 5 }; double[] y = { 2, 3, 4, 5, 6 }; - org.apache.commons.math3.stat.correlation.Covariance covarianceApache = new org.apache.commons.math3.stat.correlation.Covariance(); - double expected = covarianceApache.covariance( x, y ); org.mastodon.mamut.io.importer.labelimage.math.Covariance covariance = new org.mastodon.mamut.io.importer.labelimage.math.Covariance(); for ( int i = 0; i < x.length; i++ ) covariance.addValues( x[ i ], y[ i ] ); double actual = covariance.get(); - assertEquals( expected, actual, 0.0001d ); + assertEquals( 2.5d, actual, 0.0001d ); } @Test From c2fc7946719a02b75ca6fc5b1d9dff0b94c75545 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 15:23:09 +0100 Subject: [PATCH 22/38] Streamline the order of params in the methods importSpotsFromImgPlus() and importSpotsFromBdvChannel() --- .../io/importer/labelimage/LabelImageUtils.java | 14 ++++++-------- .../labelimage/ui/ImportSpotsFromImgPlusView.java | 2 +- .../importer/labelimage/LabelImageUtilsTest.java | 2 +- 3 files changed, 8 insertions(+), 10 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java index c41a7e188..c1080a45c 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -19,7 +19,6 @@ import org.mastodon.mamut.model.ModelGraph; import org.mastodon.mamut.model.Spot; import org.mastodon.views.bdv.SharedBigDataViewerData; -import org.scijava.Context; import org.scijava.app.StatusService; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -266,27 +265,26 @@ public static boolean dimensionsMatch( final SharedBigDataViewerData sharedBigDa /** * Imports spots from the given ImageJ image into the given project model. + * @param projectModel the project model to add the spots to. * @param imgPlus the image to import the spots from. * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. - * @param projectModel the project model to add the spots to. * @throws IllegalArgumentException if the dimensions of the given image do not match the dimensions of the big data viewer image contained in the project model. */ - public static void importSpotsFromImgPlus( final ImgPlus< ? > imgPlus, final double sigma, final ProjectModel projectModel ) + public static void importSpotsFromImgPlus( final ProjectModel projectModel, final ImgPlus< ? > imgPlus, final double sigma ) { logger.debug( "ImageJ image: {}", imgPlus.getName() ); final SharedBigDataViewerData sharedBdvData = projectModel.getSharedBdvData(); if ( !dimensionsMatch( sharedBdvData, imgPlus ) ) throw new IllegalArgumentException( "The dimensions of the ImageJ image " + imgPlus.getName() + " do not match the dimensions of the big data viewer image." ); - final Context context = projectModel.getContext(); final AbstractSequenceDescription< ?, ?, ? > sequenceDescription = sharedBdvData.getSpimData().getSequenceDescription(); final List< TimePoint > frames = sequenceDescription.getTimePoints().getTimePointsOrdered(); // NB: Use the dimensions of the first source and the first time point only without checking if they are equal in other sources and time points. final VoxelDimensions voxelDimensions = sequenceDescription.getViewSetups().get( 0 ).getVoxelSize(); IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider = frameId -> Cast.unchecked( Views.hyperSlice( imgPlus.getImg(), 3, frameId ) ); - LabelImageUtils.createSpotsFromLabelImage( frameProvider, frames, projectModel.getModel(), voxelDimensions, sigma, - context.getService( StatusService.class ) ); + createSpotsFromLabelImage( frameProvider, frames, projectModel.getModel(), voxelDimensions, sigma, + projectModel.getContext().getService( StatusService.class ) ); } /** @@ -303,9 +301,9 @@ public static void importSpotsFromBdvChannel( final ProjectModel projectModel, f final List< TimePoint > frames = sequenceDescription.getTimePoints().getTimePointsOrdered(); // NB: Use the dimensions of the first source and the first time point only without checking if they are equal in other sources and time points. final VoxelDimensions voxelDimensions = sequenceDescription.getViewSetups().get( 0 ).getVoxelSize(); - IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = + IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider = frameId -> Cast.unchecked( source.getSource( frameId, 0 ) ); - LabelImageUtils.createSpotsFromLabelImage( imgProvider, frames, projectModel.getModel(), voxelDimensions, sigma, + createSpotsFromLabelImage( frameProvider, frames, projectModel.getModel(), voxelDimensions, sigma, projectModel.getContext().getService( StatusService.class ) ); } diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java index 6ebf154f1..6cc8e9e3c 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java @@ -64,7 +64,7 @@ public void run() { if ( isCanceled() ) return; - LabelImageUtils.importSpotsFromImgPlus( imgPlus, sigma, projectModel ); + LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, sigma ); } @SuppressWarnings( "unused" ) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java index a6a555ca4..112bc404d 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java @@ -164,7 +164,7 @@ public void testImportSpotsFromImgPlus() Img< FloatType > image = createImageFromSpot( spot, pixelValue ); ImgPlus< FloatType > imgPlus = createImgPlus( image, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model, context ); - LabelImageUtils.importSpotsFromImgPlus( imgPlus, 2.1, projectModel ); + LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, 2.1 ); Iterator< Spot > iterator = model.getGraph().vertices().iterator(); iterator.next(); From f23adba3d3ff3d2e4a39b1127e95ab65f101f5b8 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 15:42:09 +0100 Subject: [PATCH 23/38] Reduce code redundancy by replacing the params frames and voxelDimensions in method createSpotsFromLabelImage() by SequenceDescription, which contains them both --- .../importer/labelimage/LabelImageUtils.java | 22 +++++-------- .../labelimage/LabelImageUtilsTest.java | 31 ++++++++++++++----- 2 files changed, 31 insertions(+), 22 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java index c1080a45c..1b5080f86 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -46,17 +46,19 @@ private LabelImageUtils() * Creates spots from the given label image.
* The method runs twice through each image (i.e. each frame). Once to determine maximum/minimum values for array initialization, and once to do summation for covariance and mean. * @param frameProvider a function that provides the image data for each frame. - * @param frames a list of frames to process. * @param model the model to add the spots to. - * @param voxelDimensions the dimensions of the voxels in the image. * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @param sequenceDescription the sequence description of the image data. Contains the voxel dimensions and the time points. * @param statusService the status service to report progress to. */ static void createSpotsFromLabelImage( final IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider, - final List< TimePoint > frames, final Model model, final VoxelDimensions voxelDimensions, final double sigma, + final Model model, final double sigma, final AbstractSequenceDescription< ?, ?, ? > sequenceDescription, final StatusService statusService ) { final ModelGraph graph = model.getGraph(); + final List< TimePoint > frames = sequenceDescription.getTimePoints().getTimePointsOrdered(); + // NB: Use the dimensions of the first source and the first time point only without checking if they are equal in other sources and time points. + final VoxelDimensions voxelDimensions = sequenceDescription.getViewSetups().get( 0 ).getVoxelSize(); ReentrantReadWriteLock lock = graph.getLock(); lock.writeLock().lock(); int count = 0; @@ -277,13 +279,9 @@ public static void importSpotsFromImgPlus( final ProjectModel projectModel, fina if ( !dimensionsMatch( sharedBdvData, imgPlus ) ) throw new IllegalArgumentException( "The dimensions of the ImageJ image " + imgPlus.getName() + " do not match the dimensions of the big data viewer image." ); - final AbstractSequenceDescription< ?, ?, ? > sequenceDescription = sharedBdvData.getSpimData().getSequenceDescription(); - final List< TimePoint > frames = sequenceDescription.getTimePoints().getTimePointsOrdered(); - // NB: Use the dimensions of the first source and the first time point only without checking if they are equal in other sources and time points. - final VoxelDimensions voxelDimensions = sequenceDescription.getViewSetups().get( 0 ).getVoxelSize(); IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider = frameId -> Cast.unchecked( Views.hyperSlice( imgPlus.getImg(), 3, frameId ) ); - createSpotsFromLabelImage( frameProvider, frames, projectModel.getModel(), voxelDimensions, sigma, + createSpotsFromLabelImage( frameProvider, projectModel.getModel(), sigma, sharedBdvData.getSpimData().getSequenceDescription(), projectModel.getContext().getService( StatusService.class ) ); } @@ -296,14 +294,10 @@ public static void importSpotsFromImgPlus( final ProjectModel projectModel, fina */ public static void importSpotsFromBdvChannel( final ProjectModel projectModel, final Source< ? > source, final double sigma ) { - final SharedBigDataViewerData sharedBigDataViewerData = projectModel.getSharedBdvData(); - final AbstractSequenceDescription< ?, ?, ? > sequenceDescription = sharedBigDataViewerData.getSpimData().getSequenceDescription(); - final List< TimePoint > frames = sequenceDescription.getTimePoints().getTimePointsOrdered(); - // NB: Use the dimensions of the first source and the first time point only without checking if they are equal in other sources and time points. - final VoxelDimensions voxelDimensions = sequenceDescription.getViewSetups().get( 0 ).getVoxelSize(); IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider = frameId -> Cast.unchecked( source.getSource( frameId, 0 ) ); - createSpotsFromLabelImage( frameProvider, frames, projectModel.getModel(), voxelDimensions, sigma, + createSpotsFromLabelImage( frameProvider, projectModel.getModel(), sigma, + projectModel.getSharedBdvData().getSpimData().getSequenceDescription(), projectModel.getContext().getService( StatusService.class ) ); } diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java index 112bc404d..804d09822 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java @@ -1,15 +1,22 @@ package org.mastodon.mamut.io.importer.labelimage; +import bdv.spimdata.SequenceDescriptionMinimal; import bdv.util.AbstractSource; import bdv.util.RandomAccessibleIntervalSource; +import mpicbg.spim.data.generic.sequence.AbstractSequenceDescription; +import mpicbg.spim.data.generic.sequence.BasicViewDescription; +import mpicbg.spim.data.generic.sequence.BasicViewSetup; import mpicbg.spim.data.sequence.FinalVoxelDimensions; import mpicbg.spim.data.sequence.TimePoint; +import mpicbg.spim.data.sequence.TimePoints; import mpicbg.spim.data.sequence.VoxelDimensions; import net.imagej.ImgPlus; import net.imagej.axis.Axes; import net.imagej.axis.CalibratedAxis; import net.imagej.axis.DefaultLinearAxis; import net.imagej.patcher.LegacyInjector; +import net.imglib2.Dimensions; +import net.imglib2.FinalDimensions; import net.imglib2.RandomAccess; import net.imglib2.RandomAccessibleInterval; import net.imglib2.img.Img; @@ -38,6 +45,7 @@ import java.util.Collections; import java.util.Iterator; import java.util.List; +import java.util.Map; import java.util.concurrent.atomic.AtomicInteger; import java.util.function.IntFunction; @@ -54,16 +62,17 @@ public class LabelImageUtilsTest private Model model; - private List< TimePoint > frames; - - private VoxelDimensions voxelDimensions; + private AbstractSequenceDescription< ?, ?, ? > sequenceDescription; @Before public void setUp() { model = new Model(); - frames = Collections.singletonList( new TimePoint( 0 ) ); - voxelDimensions = new FinalVoxelDimensions( "um", 1, 1, 1 ); + TimePoints timePoints = new TimePoints( Collections.singletonList( new TimePoint( 0 ) ) ); + VoxelDimensions voxelDimensions = new FinalVoxelDimensions( "um", 1, 1, 1 ); + Map< Integer, ? extends BasicViewSetup > setups = + Collections.singletonMap( 0, new BasicViewSetup( 0, "setup 0", new FinalDimensions( 10, 10, 10 ), voxelDimensions ) ); + sequenceDescription = new SequenceDescriptionMinimal( timePoints, setups, null, null ); } @Test @@ -82,7 +91,7 @@ public void testCreateSpotFromLabelImageEmpty() "Segmentation" ); IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = frameId -> Cast.unchecked( img.getSource( frameId, 0 ) ); - LabelImageUtils.createSpotsFromLabelImage( imgProvider, frames, model, voxelDimensions, 1, null ); + LabelImageUtils.createSpotsFromLabelImage( imgProvider, model, 1, sequenceDescription, null ); assertEquals( 0, model.getGraph().vertices().size() ); } @@ -92,21 +101,27 @@ public void testCreateSpotFromNonLabelImage() AbstractSource< FloatType > img = createNonLabelImage(); IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = frameId -> Cast.unchecked( img.getSource( frameId, 0 ) ); - LabelImageUtils.createSpotsFromLabelImage( imgProvider, frames, model, voxelDimensions, 1, null ); + LabelImageUtils.createSpotsFromLabelImage( imgProvider, model, 1, sequenceDescription, null ); assertEquals( 0, model.getGraph().vertices().size() ); } @Test public void testCreateSpotFromWrongVoxelDimensions() { + RandomAccessibleIntervalSource< FloatType > img = new RandomAccessibleIntervalSource<>( createImageCubeCorners( 1 ), new FloatType(), new AffineTransform3D(), "Segmentation" ); VoxelDimensions wrongDimensions = new FinalVoxelDimensions( "um", 1, 1 ); + TimePoints timePoints = new TimePoints( Collections.singletonList( new TimePoint( 0 ) ) ); + Map< Integer, ? extends BasicViewSetup > setups = + Collections.singletonMap( 0, new BasicViewSetup( 0, "setup 0", new FinalDimensions( 10, 10, 10 ), wrongDimensions ) ); + AbstractSequenceDescription< ?, ?, ? > faultySequenceDescription = new SequenceDescriptionMinimal( timePoints, setups, null, null ); IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = frameId -> Cast.unchecked( img.getSource( frameId, 0 ) ); assertThrows( IllegalArgumentException.class, - () -> LabelImageUtils.createSpotsFromLabelImage( imgProvider, frames, model, wrongDimensions, 1, null ) ); + () -> LabelImageUtils.createSpotsFromLabelImage( imgProvider, model, 1, faultySequenceDescription, null ) ); + } @Test From 140f4a835cc67425046794e68fbe1ff17ea024e3 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 17:03:09 +0100 Subject: [PATCH 24/38] Fix dimensions settings in ImportSpotsFromImgPlusViewDemo * Results are seen with less user interaction (zooming, paning) --- .../labelimage/ui/ImportSpotsFromImgPlusViewDemo.java | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java index e99a215b7..9d8e54146 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java @@ -3,6 +3,7 @@ import java.util.Arrays; import java.util.List; +import ij.ImagePlus; import net.imglib2.img.Img; import net.imglib2.img.ImgView; import net.imglib2.img.display.imagej.ImageJFunctions; @@ -30,9 +31,13 @@ public static void main( String[] args ) Img< FloatType > image = generateExampleImage(); - // show image in ImageJ + // show ImageJ ui.showUI(); - ImageJFunctions.wrap( image, "label image" ).show(); + // show image in ImageJ + ImagePlus imagePlus = ImageJFunctions.wrap( image, "label image" ); + imagePlus.setDimensions( 1, 100, 2 ); + imagePlus.setZ( 50 ); + imagePlus.show(); // open the image in Mastodon Model model = new Model(); ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model, context ); @@ -44,7 +49,7 @@ public static void main( String[] args ) private static Img< FloatType > generateExampleImage() { - double[] center = { 40, 50, 60 }; + double[] center = { 40, 80, 50 }; double[][] givenCovariance = { { 400, 20, -10 }, { 20, 200, 30 }, From 7453cba5defc62a9a211f195b27f6c3339137a50 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 17:14:58 +0100 Subject: [PATCH 25/38] Move generation of example image from ImportSpotsFromImgPlusViewDemo to DemoUtils --- .../importer/labelimage/demo/DemoUtils.java | 23 +++++++++++++++++++ .../ui/ImportSpotsFromImgPlusViewDemo.java | 18 +-------------- 2 files changed, 24 insertions(+), 17 deletions(-) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java index 3e2d6c88c..e0c07c995 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java @@ -35,6 +35,7 @@ import net.imagej.axis.AxisType; import net.imglib2.Cursor; import net.imglib2.img.Img; +import net.imglib2.img.ImgView; import net.imglib2.img.array.ArrayImgs; import net.imglib2.img.display.imagej.ImgToVirtualStack; import net.imglib2.loops.LoopBuilder; @@ -42,6 +43,7 @@ import net.imglib2.type.numeric.real.FloatType; import net.imglib2.util.Pair; import net.imglib2.util.ValuePair; +import net.imglib2.view.Views; import org.mastodon.mamut.ProjectModel; import org.mastodon.mamut.io.importer.labelimage.LabelImageUtils; import org.mastodon.mamut.io.importer.labelimage.math.CovarianceMatrix; @@ -52,6 +54,8 @@ import org.scijava.Context; import javax.annotation.Nonnull; +import java.util.Arrays; +import java.util.List; import java.util.Objects; public class DemoUtils @@ -103,6 +107,25 @@ public static Img< FloatType > generateExampleImage( return image; } + /** + * Returns an example image with a single ellipsoid and black background. + */ + public static Img< FloatType > generateExampleImage() + { + double[] center = { 40, 80, 50 }; + double[][] givenCovariance = { + { 400, 20, -10 }, + { 20, 200, 30 }, + { -10, 30, 100 } + }; + long[] dimensions = { 100, 100, 100 }; + int background = 0; + int pixelValue = 1; + Img< FloatType > frame = generateExampleImage( center, givenCovariance, dimensions, background, pixelValue ); + List< Img< FloatType > > twoIdenticalFrames = Arrays.asList( frame, frame ); + return ImgView.wrap( Views.stack( twoIdenticalFrames ) ); + } + /** * Computes the covariance matrix of the pixels whose value equals the given {@code pixelValue}. * Uses an online algorithm to compute the covariance matrix, cf. Online algorithm for covariance diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java index 9d8e54146..24566b195 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java @@ -29,7 +29,7 @@ public static void main( String[] args ) UIService ui = context.service( UIService.class ); CommandService cmd = context.service( CommandService.class ); - Img< FloatType > image = generateExampleImage(); + Img< FloatType > image = DemoUtils.generateExampleImage(); // show ImageJ ui.showUI(); @@ -46,20 +46,4 @@ public static void main( String[] args ) // run import spots command cmd.run( ImportSpotsFromImgPlusView.class, true, "projectModel", projectModel ); } - - private static Img< FloatType > generateExampleImage() - { - double[] center = { 40, 80, 50 }; - double[][] givenCovariance = { - { 400, 20, -10 }, - { 20, 200, 30 }, - { -10, 30, 100 } - }; - long[] dimensions = { 100, 100, 100 }; - int background = 0; - int pixelValue = 1; - Img< FloatType > frame = DemoUtils.generateExampleImage( center, givenCovariance, dimensions, background, pixelValue ); - List< Img< FloatType > > twoIdenticalFrames = Arrays.asList( frame, frame ); - return ImgView.wrap( Views.stack( twoIdenticalFrames ) ); - } } From 82bb062b5091ce8c501647f24371de7d7351edc0 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 17:15:46 +0100 Subject: [PATCH 26/38] Change ImportSpotsFromBdvChannelViewDemo so that the actual image to spot conversion can be seen. --- .../ui/ImportSpotsFromBdvChannelViewDemo.java | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java index 343768cd9..19cba20f8 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java @@ -1,12 +1,12 @@ package org.mastodon.mamut.io.importer.labelimage.ui; -import net.imagej.ImgPlus; import net.imglib2.img.Img; -import net.imglib2.img.array.ArrayImgs; import net.imglib2.type.numeric.real.FloatType; +import org.mastodon.mamut.MainWindow; import org.mastodon.mamut.ProjectModel; import org.mastodon.mamut.io.importer.labelimage.demo.DemoUtils; import org.mastodon.mamut.model.Model; +import org.mastodon.mamut.views.bdv.MamutViewBdv; import org.scijava.Context; import org.scijava.command.CommandService; import org.scijava.ui.UIService; @@ -21,11 +21,16 @@ public static void main( String[] args ) UIService ui = context.service( UIService.class ); CommandService cmd = context.service( CommandService.class ); - Img< FloatType > img = ArrayImgs.floats( 10, 10, 10 ); - Model model = new Model(); - ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model, context ); + Img< FloatType > image = DemoUtils.generateExampleImage(); + // show ImageJ ui.showUI(); + // open the image in Mastodon + Model model = new Model(); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model, context ); + new MainWindow( projectModel ).setVisible( true ); + projectModel.getWindowManager().createView( MamutViewBdv.class ); + // run import spots command cmd.run( ImportSpotsFromBdvChannelView.class, true, "projectModel", projectModel ); } } From 6ef70f70c48b3d4ad0ac3ab68484873281f74d3e Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 17:38:21 +0100 Subject: [PATCH 27/38] Change user input from sigma to ellipsoid scaling factor --- .../importer/labelimage/LabelImageUtils.java | 37 ++++++++++--------- .../ui/ImportSpotsFromBdvChannelView.java | 14 +++---- .../ui/ImportSpotsFromImgPlusView.java | 12 +++--- .../labelimage/LabelImageUtilsTest.java | 16 ++++---- 4 files changed, 40 insertions(+), 39 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java index 1b5080f86..5332bb255 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -47,12 +47,12 @@ private LabelImageUtils() * The method runs twice through each image (i.e. each frame). Once to determine maximum/minimum values for array initialization, and once to do summation for covariance and mean. * @param frameProvider a function that provides the image data for each frame. * @param model the model to add the spots to. - * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @param scaleFactor the scale factor to use for the ellipsoid. 1 means 2.2σ and is the default. * @param sequenceDescription the sequence description of the image data. Contains the voxel dimensions and the time points. * @param statusService the status service to report progress to. */ static void createSpotsFromLabelImage( final IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider, - final Model model, final double sigma, final AbstractSequenceDescription< ?, ?, ? > sequenceDescription, + final Model model, final double scaleFactor, final AbstractSequenceDescription< ?, ?, ? > sequenceDescription, final StatusService statusService ) { final ModelGraph graph = model.getGraph(); @@ -70,7 +70,7 @@ static void createSpotsFromLabelImage( final IntFunction< RandomAccessibleInterv TimePoint frame = frames.get( i ); int frameId = frame.getId(); final RandomAccessibleInterval< RealType< ? > > rai = frameProvider.apply( frameId ); - count += createSpotsForFrame( graph, rai, frameId, voxelDimensions, sigma ); + count += createSpotsForFrame( graph, rai, frameId, voxelDimensions, scaleFactor ); if ( statusService != null ) statusService.showProgress( i + 1, numTimepoints ); } @@ -90,11 +90,11 @@ static void createSpotsFromLabelImage( final IntFunction< RandomAccessibleInterv * @param frame the image data to read and process. * @param frameId the frame id the spots should belong to. * @param voxelDimensions the dimensions of the voxels in the image. - * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @param scaleFactor the scale factor to use for the ellipsoid. 1 means 2.2σ and is the default. * @return the number of spots created. */ private static int createSpotsForFrame( final ModelGraph graph, final RandomAccessibleInterval< RealType< ? > > frame, - final int frameId, final VoxelDimensions voxelDimensions, final double sigma ) + final int frameId, final VoxelDimensions voxelDimensions, final double scaleFactor ) { logger.debug( "Computing mean, covariance of all labels at frame {}", frameId ); logger.debug( "Dimensions of frame: {}, {}, {}", frame.dimension( 0 ), frame.dimension( 1 ), frame.dimension( 2 ) ); @@ -115,7 +115,7 @@ private static int createSpotsForFrame( final ModelGraph graph, final RandomAcce logger.debug( "Found {} label(s) in frame {}. Range: [{}, {}]", numLabels, frameId, minimumLabel, maximumLabel ); Label[] labels = extractLabelsFromFrame( frame, minimumLabel, numLabels ); - return createSpotsFromFrameLabels( graph, frameId, labels, voxelDimensions, sigma ); + return createSpotsFromFrameLabels( graph, frameId, labels, voxelDimensions, scaleFactor ); } /** @@ -149,11 +149,11 @@ private static Pair< Integer, Integer > getPixelValueInterval( final RandomAcces * @param frameId the frame id the spots should belong to. * @param labels the labels in the frame. * @param voxelDimensions the dimensions of the voxels in the image. - * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @param scaleFactor the size factor to use for the ellipsoid. 1 means 2.2σ and is the default. * @return the number of spots created. */ private static int createSpotsFromFrameLabels( final ModelGraph graph, final int frameId, final Label[] labels, - final VoxelDimensions voxelDimensions, final double sigma ) + final VoxelDimensions voxelDimensions, final double scaleFactor ) { int count = 0; // combine the sums into mean and covariance matrices, then add the corresponding spot @@ -165,7 +165,7 @@ private static int createSpotsFromFrameLabels( final ModelGraph graph, final int double[] mean = label.means.get(); double[][] cov = label.covariances.get(); scale( mean, voxelDimensions ); - scale( cov, sigma, voxelDimensions ); + scale( cov, scaleFactor, voxelDimensions ); try { Spot spot = graph.addVertex().init( frameId, mean, cov ); @@ -269,10 +269,10 @@ public static boolean dimensionsMatch( final SharedBigDataViewerData sharedBigDa * Imports spots from the given ImageJ image into the given project model. * @param projectModel the project model to add the spots to. * @param imgPlus the image to import the spots from. - * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @param scaleFactor the scale factor to use for the ellipsoid. 1 means 2.2σ and is the default. * @throws IllegalArgumentException if the dimensions of the given image do not match the dimensions of the big data viewer image contained in the project model. */ - public static void importSpotsFromImgPlus( final ProjectModel projectModel, final ImgPlus< ? > imgPlus, final double sigma ) + public static void importSpotsFromImgPlus( final ProjectModel projectModel, final ImgPlus< ? > imgPlus, final double scaleFactor ) { logger.debug( "ImageJ image: {}", imgPlus.getName() ); final SharedBigDataViewerData sharedBdvData = projectModel.getSharedBdvData(); @@ -281,7 +281,8 @@ public static void importSpotsFromImgPlus( final ProjectModel projectModel, fina + " do not match the dimensions of the big data viewer image." ); IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider = frameId -> Cast.unchecked( Views.hyperSlice( imgPlus.getImg(), 3, frameId ) ); - createSpotsFromLabelImage( frameProvider, projectModel.getModel(), sigma, sharedBdvData.getSpimData().getSequenceDescription(), + createSpotsFromLabelImage( frameProvider, projectModel.getModel(), scaleFactor, + sharedBdvData.getSpimData().getSequenceDescription(), projectModel.getContext().getService( StatusService.class ) ); } @@ -289,14 +290,14 @@ public static void importSpotsFromImgPlus( final ProjectModel projectModel, fina * Imports spots from the given big data viewer channel into the given project model. * @param projectModel the project model to add the spots to. * @param source the source to import the spots from. - * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @param scaleFactor the scale factor to use for the ellipsoid. 1 means 2.2σ and is the default. * @throws IllegalArgumentException if the label channel index is out of bounds, i.e. if it is greater than the number of channels in the big data viewer source contained in the project model. */ - public static void importSpotsFromBdvChannel( final ProjectModel projectModel, final Source< ? > source, final double sigma ) + public static void importSpotsFromBdvChannel( final ProjectModel projectModel, final Source< ? > source, final double scaleFactor ) { IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider = frameId -> Cast.unchecked( source.getSource( frameId, 0 ) ); - createSpotsFromLabelImage( frameProvider, projectModel.getModel(), sigma, + createSpotsFromLabelImage( frameProvider, projectModel.getModel(), scaleFactor, projectModel.getSharedBdvData().getSpimData().getSequenceDescription(), projectModel.getContext().getService( StatusService.class ) ); } @@ -304,11 +305,11 @@ public static void importSpotsFromBdvChannel( final ProjectModel projectModel, f /** * Scales the covariance matrix the given sigma and the voxel dimensions. * @param covariance the covariance matrix to scale. - * @param sigma the standard deviation of the Gaussian distribution to use for the covariance matrix. + * @param scaleFactor the factor to scale the covariance matrix with. * @param voxelDimensions the dimensions of the voxels in the image. * @throws IllegalArgumentException if the covariance matrix has not the same dimensions as the given voxelDimensions. */ - public static void scale( final double[][] covariance, final double sigma, final VoxelDimensions voxelDimensions ) + public static void scale( final double[][] covariance, final double scaleFactor, final VoxelDimensions voxelDimensions ) { if ( covariance.length != voxelDimensions.numDimensions() ) throw new IllegalArgumentException( "Covariance matrix has wrong dimension." ); @@ -318,7 +319,7 @@ public static void scale( final double[][] covariance, final double sigma, final throw new IllegalArgumentException( "Covariance matrix has wrong dimension." ); for ( int j = i; j < covariance.length; j++ ) { - covariance[ i ][ j ] *= Math.pow( sigma, 2 ) * voxelDimensions.dimension( i ) * voxelDimensions.dimension( j ); + covariance[ i ][ j ] *= Math.pow( scaleFactor, 2 ) * 5 * voxelDimensions.dimension( i ) * voxelDimensions.dimension( j ); // the covariance matrix is symmetric! if ( i != j ) covariance[ j ][ i ] = covariance[ i ][ j ]; diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java index b6bcaf69c..944b183eb 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java @@ -22,10 +22,10 @@ public class ImportSpotsFromBdvChannelView extends DynamicCommand @Parameter( visibility = ItemVisibility.MESSAGE, required = false, persist = false ) private String documentation = "\n" + "\n" - + "

Import spots from BDV channel

\n" - + "

This command can import spots from image data contained in a channel of the Big Data Viewer. The image data in that channel is assumed to represent a segmentation (i.e. a label image) that has been processed outside Mastodon. The existing labels in that channel will be used as spot names.

\n" - + "

The index of the BDV channel that contains the labels has to be chosen. Counting starts at 0.

\n" - + "

The value σ can be chosen. This value determines where Mastodon will draw the resulting ellipsoid. Default is 2.1σ.

\n" + + "

Import spots from instance segmentation in BDV channel

\n" + + "

This command can import spots from label image data contained in a channel of the Big Data Viewer. The image data in that channel is assumed to represent an instance segmentation (i.e. a label image) that has been processed outside Mastodon. The existing labels in that channel will be used as spot names.

\n" + + "

The BDV channel that contains the labels has to be chosen.

\n" + + "

The ellipsoid scaling factor can be used to increase (>1) or decrease (<1) the size of the resulting ellipsoid. 1 is equivalent of ellipsoids drawn at 2.2σ.

\n" + "\n" + "\n"; @@ -37,8 +37,8 @@ public class ImportSpotsFromBdvChannelView extends DynamicCommand public String imgSourceChoice = ""; @SuppressWarnings( "all" ) - @Parameter( label = "Sigma", min = "0", description = "Deviations from center to draw the ellipsoid border" ) - private double sigma = 2.1; + @Parameter( label = "Ellipsoid scaling factor", min = "0", description = "Changes the size of the resulting ellipsoid in all dimensions. 1 means that the ellipsoid is drawn at 2.2σ, which is the default." ) + private double scaleFactor = 1; @SuppressWarnings( "unused" ) private void initImgSourceChoices() @@ -57,6 +57,6 @@ public void run() .filter( source -> source.getSpimSource().getName().equals( imgSourceChoice ) ).findFirst(); if ( !sourceAndConverter.isPresent() ) return; - LabelImageUtils.importSpotsFromBdvChannel( projectModel, sourceAndConverter.get().getSpimSource(), sigma ); + LabelImageUtils.importSpotsFromBdvChannel( projectModel, sourceAndConverter.get().getSpimSource(), scaleFactor ); } } diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java index 6cc8e9e3c..0caab1440 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java @@ -19,9 +19,9 @@ public class ImportSpotsFromImgPlusView< T > extends ContextCommand private static final String TEMPLATE = "\n" + "\n" - + "

Import spots from ImageJ image.

\n" - + "

This command can import spots from an image that contains a segmentation that has been processed outside Mastodon. The segmentation is assumed to be represented as a label image that matches the existing big data viewer image in all dimensions (x,y,z and t). The existing labels will be used as spot names.

\n" - + "

The value σ can be chosen. This value determines where Mastodon will draw the resulting ellipsoid. Default is 2.1σ.

" + + "

Import spots from label image in ImageJ.

\n" + + "

This command can import spots from the active image in ImageJ that contains an instance segmentation that has been processed outside Mastodon. The label image is assumed to match the existing big data viewer image in all dimensions (x,y,z and t). The existing labels will be used as spot names.

\n" + + "

The ellipsoid scaling factor can be used to increase (>1) or decrease (<1) the size of the resulting ellipsoid. 1 is equivalent of ellipsoids drawn at 2.2σ.

\n" + "

The active image in ImageJ is: %s.
\n" + "

It has the these dimensions: x=%s, y=%s, z=%s, t=%s.

\n" + "

The big data viewer image has these dimensions: x=%s, y=%s, z=%s, t=%s.

\n" @@ -41,8 +41,8 @@ public class ImportSpotsFromImgPlusView< T > extends ContextCommand private ProjectModel projectModel; @SuppressWarnings( "all" ) - @Parameter( label = "Sigma", min = "0", description = "Deviations from center to draw the ellipsoid border" ) - private double sigma = 2.1; + @Parameter( label = "Ellipsoid scaling factor", min = "0", description = "Changes the size of the resulting ellipsoid in all dimensions. 1 means that the ellipsoid is drawn at 2.2σ, which is the default." ) + private double scaleFactor = 1; @SuppressWarnings( "unused" ) private void validateImageData() @@ -64,7 +64,7 @@ public void run() { if ( isCanceled() ) return; - LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, sigma ); + LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, scaleFactor ); } @SuppressWarnings( "unused" ) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java index 804d09822..ca46b7173 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java @@ -154,10 +154,10 @@ public void testImportSpotsFromBdvChannel() assertEquals( 2, spot.getDoublePosition( 2 ), 0.01 ); assertEquals( 0, spot.getInternalPoolIndex() ); assertEquals( String.valueOf( pixelValue ), spot.getLabel() ); - assertEquals( 1, axisA, 0.1d ); - assertEquals( 1, axisB, 0.1d ); - assertEquals( 1, axisC, 0.1d ); - assertEquals( 1, spot.getBoundingSphereRadiusSquared(), 0.2d ); + assertEquals( 2.2, axisA, 0.2d ); + assertEquals( 2.2, axisB, 0.2d ); + assertEquals( 2.2, axisC, 0.2d ); + assertEquals( 5d, spot.getBoundingSphereRadiusSquared(), 1d ); assertFalse( iter.hasNext() ); } } @@ -179,7 +179,7 @@ public void testImportSpotsFromImgPlus() Img< FloatType > image = createImageFromSpot( spot, pixelValue ); ImgPlus< FloatType > imgPlus = createImgPlus( image, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model, context ); - LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, 2.1 ); + LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, 1 ); Iterator< Spot > iterator = model.getGraph().vertices().iterator(); iterator.next(); @@ -194,9 +194,9 @@ public void testImportSpotsFromImgPlus() logger.debug( "Computed covariance: {}", Arrays.deepToString( computedCovariance ) ); assertArrayEquals( center, mean, 0.01d ); - assertArrayEquals( givenCovariance[ 0 ], computedCovariance[ 0 ], 5d ); - assertArrayEquals( givenCovariance[ 1 ], computedCovariance[ 1 ], 5d ); - assertArrayEquals( givenCovariance[ 2 ], computedCovariance[ 2 ], 5d ); + assertArrayEquals( givenCovariance[ 0 ], computedCovariance[ 0 ], 10d ); + assertArrayEquals( givenCovariance[ 1 ], computedCovariance[ 1 ], 10d ); + assertArrayEquals( givenCovariance[ 2 ], computedCovariance[ 2 ], 10d ); assertEquals( String.valueOf( pixelValue ), createdSpot.getLabel() ); } } From ceaae37b01b4ef72a3cb8aeebaf8b4c0d9eb9b6b Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Fri, 15 Mar 2024 23:54:48 +0100 Subject: [PATCH 28/38] Reuse means computed in CovarianceMatrix instead of re-computing them in Means class --- .../importer/labelimage/LabelImageUtils.java | 2 +- .../importer/labelimage/math/Covariance.java | 18 ++++++++++++++++++ .../labelimage/math/CovarianceMatrix.java | 12 ++++++++++++ .../labelimage/math/CovarianceMatrixTest.java | 1 + .../labelimage/math/CovarianceTest.java | 2 ++ 5 files changed, 34 insertions(+), 1 deletion(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java index 5332bb255..e6c316b2d 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -162,7 +162,7 @@ private static int createSpotsFromFrameLabels( final ModelGraph graph, final int // skip labels that are not present in the image or have only one pixel if ( label == null || label.numPixels < 2 ) continue; - double[] mean = label.means.get(); + double[] mean = label.covariances.getMeans(); double[][] cov = label.covariances.get(); scale( mean, voxelDimensions ); scale( cov, scaleFactor, voxelDimensions ); diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Covariance.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Covariance.java index 6a7059385..a7e6b9815 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Covariance.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/Covariance.java @@ -39,4 +39,22 @@ public double get() throw new IllegalArgumentException( "Number of samples is less than 2." ); return c / ( n - 1 ); } + + /** + * Gets the mean of the first variable. + * @return the mean of the first variable + */ + public double getMeanX() + { + return meanX; + } + + /** + * Gets the mean of the second variable. + * @return the mean of the second variable + */ + public double getMeanY() + { + return meanY; + } } diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrix.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrix.java index a8219e110..a51d9ea36 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrix.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrix.java @@ -56,4 +56,16 @@ public double[][] get() } return result; } + + /** + * Gets the means of the variables. + * @return the means of the variables + */ + public double[] getMeans() + { + double[] result = new double[ c.length ]; + for ( int i = 0; i < c.length; i++ ) + result[ i ] = c[ i ][ i ].getMeanX(); + return result; + } } diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java index 104ae640e..a5dc570e3 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceMatrixTest.java @@ -18,6 +18,7 @@ public void testGet() matrix.addValues( values ); double[][] actual = matrix.get(); + assertArrayEquals( new double[] { 3d, 4d }, matrix.getMeans(), 0.0001d ); assertArrayEquals( new double[] { 2.5d, 2.5d }, actual[ 0 ], 0.0001d ); assertArrayEquals( new double[] { 2.5d, 2.5d }, actual[ 1 ], 0.0001d ); } diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java index bfa232cda..dd6e98d37 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/math/CovarianceTest.java @@ -18,6 +18,8 @@ public void testGet() covariance.addValues( x[ i ], y[ i ] ); double actual = covariance.get(); assertEquals( 2.5d, actual, 0.0001d ); + assertEquals( 3d, covariance.getMeanX(), 0.0001d ); + assertEquals( 4d, covariance.getMeanY(), 0.0001d ); } @Test From 5cf42536535b489013a8a2bfceae2940cd96e6c5 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Sat, 16 Mar 2024 00:13:28 +0100 Subject: [PATCH 29/38] Extract method getSourceNames() to separate method and provide unit test --- .../io/importer/labelimage/LabelImageUtils.java | 16 ++++++++++++++++ .../ui/ImportSpotsFromBdvChannelView.java | 6 +----- .../importer/labelimage/LabelImageUtilsTest.java | 14 ++++++++++++++ 3 files changed, 31 insertions(+), 5 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java index e6c316b2d..d2c8ddea2 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -1,6 +1,7 @@ package org.mastodon.mamut.io.importer.labelimage; import bdv.viewer.Source; +import bdv.viewer.SourceAndConverter; import mpicbg.spim.data.generic.sequence.AbstractSequenceDescription; import mpicbg.spim.data.sequence.TimePoint; import mpicbg.spim.data.sequence.VoxelDimensions; @@ -24,6 +25,7 @@ import org.slf4j.LoggerFactory; import java.lang.invoke.MethodHandles; +import java.util.ArrayList; import java.util.Arrays; import java.util.List; import java.util.concurrent.locks.ReentrantReadWriteLock; @@ -327,6 +329,20 @@ public static void scale( final double[][] covariance, final double scaleFactor, } } + /** + * Returns the names of the sources contained in the given big data viewer data. + * @param sharedBdvData the big data viewer data to get the source names from. + * @return the names of the sources. + */ + public static List< String > getSourceNames( final SharedBigDataViewerData sharedBdvData ) + { + final List< SourceAndConverter< ? > > sources = sharedBdvData.getSources(); + List< String > choices = new ArrayList<>(); + for ( SourceAndConverter< ? > source : sources ) + choices.add( source.getSpimSource().getName() ); + return choices; + } + /** * A class to hold the pixel count, mean and covariances of a label in the image. */ diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java index 944b183eb..04ffa40af 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java @@ -9,7 +9,6 @@ import org.scijava.plugin.Parameter; import org.scijava.plugin.Plugin; -import java.util.ArrayList; import java.util.List; import java.util.Optional; @@ -43,10 +42,7 @@ public class ImportSpotsFromBdvChannelView extends DynamicCommand @SuppressWarnings( "unused" ) private void initImgSourceChoices() { - final ArrayList< SourceAndConverter< ? > > sources = projectModel.getSharedBdvData().getSources(); - List< String > choices = new ArrayList<>(); - for ( SourceAndConverter< ? > source : sources ) - choices.add( source.getSpimSource().getName() ); + List< String > choices = LabelImageUtils.getSourceNames( projectModel.getSharedBdvData() ); getInfo().getMutableInput( "imgSourceChoice", String.class ).setChoices( choices ); } diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java index ca46b7173..d3b346b37 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java @@ -223,6 +223,20 @@ public void testGetImgPlusDimensions() assertArrayEquals( new long[] { 100, 100, 100, 2 }, dimensions ); } + @Test + public void testGetSourceNames() + { + LegacyInjector.preinit(); + try (final Context context = new Context()) + { + Img< FloatType > image = ArrayImgs.floats( 100, 100, 100, 2 ); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model, context ); + List< String > sourceNames = LabelImageUtils.getSourceNames( projectModel.getSharedBdvData() ); + assertEquals( 1, sourceNames.size() ); + assertEquals( "image channel 1", sourceNames.get( 0 ) ); + } + } + private ImgPlus< FloatType > createImgPlus( final Img< FloatType > img, final VoxelDimensions voxelDimensions ) { final CalibratedAxis[] axes = { new DefaultLinearAxis( Axes.X, voxelDimensions.dimension( 0 ) ), From a70e22fe55479f393b1d3252952264bfb12d57d5 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Tue, 19 Mar 2024 13:51:16 +0100 Subject: [PATCH 30/38] Add method to LineageTreeUtils that allows linking spots in consecutive time points having the same label --- .../mastodon/mamut/util/LineageTreeUtils.java | 43 +++++++++++++++ .../branch/exampleGraph/ExampleGraph6.java | 53 +++++++++++++++++++ .../mamut/util/LineageTreeUtilsTest.java | 24 +++++++++ 3 files changed, 120 insertions(+) create mode 100644 src/test/java/org/mastodon/mamut/feature/branch/exampleGraph/ExampleGraph6.java diff --git a/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java b/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java index 2eadbd5d3..8bc341596 100644 --- a/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java +++ b/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java @@ -48,9 +48,13 @@ import org.mastodon.mamut.model.branch.BranchLink; import org.mastodon.mamut.model.branch.BranchSpot; import org.mastodon.mamut.model.branch.ModelBranchGraph; +import org.mastodon.spatial.SpatialIndex; import org.mastodon.util.TreeUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; import javax.annotation.Nullable; +import java.lang.invoke.MethodHandles; import java.util.NoSuchElementException; import java.util.Set; import java.util.function.BooleanSupplier; @@ -59,6 +63,8 @@ public class LineageTreeUtils { + private static final Logger logger = LoggerFactory.getLogger( MethodHandles.lookup().lookupClass() ); + private LineageTreeUtils() { // prevent from instantiation @@ -283,4 +289,41 @@ public static < V extends Vertex< E >, E extends Edge< V > > RefSet< E > getAllE } return children; } + + /** + * This method adds edges to the graph of the model between spots that have the same label and are in consecutive time points. + *

+ * E.g. assume this set of spots: + * 
+	 * Spot(label=0,X=1,Y=1,tp=0)        Spot(label=1,X=0,Y=1,tp=0 )       Spot(label=2,X=2,Y=1,tp=0 )
+	 *
+	 * Spot(label=0,X=1,Y=2,tp=1)        Spot(label=1,X=0,Y=0,tp=1 )       Spot(label=2,X=2,Y=0,tp=1 )
+	 *
+	 * Spot(label=0,X=1,Y=3,tp=2 )       Spot(label=1,X=0,Y=-1,tp=2 )      Spot(label=3,X=2,Y=-1,tp=2 )
+	 *
+ * This method will add edges between the following spots: + * 
+	 * Spot(label=0,X=1,Y=1,tp=0)        Spot(label=1,X=0,Y=1,tp=0 )       Spot(label=2,X=2,Y=1,tp=0 )
+	 *              │                                │                               │
+	 * Spot(label=0,X=1,Y=2,tp=1)        Spot(label=1,X=0,Y=0,tp=1 )       Spot(label=2,X=2,Y=0,tp=1 )
+	 *              │                                │
+	 * Spot(label=0,X=1,Y=3,tp=2 )       Spot(label=1,X=0,Y=-1,tp=2 )      Spot(label=3,X=2,Y=-1,tp=2 )
+	 *
+ * @param model the model to link spots in. + */ + public static void linkSpotsWithSameLabel( final Model model ) + { + Link edgeRef = model.getGraph().edgeRef(); + for ( int timepoint = TreeUtils.getMinTimepoint( model ); timepoint < TreeUtils.getMaxTimepoint( model ); timepoint++ ) + { + SpatialIndex< Spot > currentTimepoint = model.getSpatioTemporalIndex().getSpatialIndex( timepoint ); + SpatialIndex< Spot > nextTimepoint = model.getSpatioTemporalIndex().getSpatialIndex( timepoint + 1 ); + currentTimepoint.forEach( spotA -> nextTimepoint.forEach( spotB -> { + if ( spotA.getLabel().equals( spotB.getLabel() ) ) + model.getGraph().addEdge( spotA, spotB, edgeRef ).init(); + } ) ); + } + model.getGraph().releaseRef( edgeRef ); + logger.debug( "Added {} edges to the graph.", model.getGraph().edges().size() ); + } } diff --git a/src/test/java/org/mastodon/mamut/feature/branch/exampleGraph/ExampleGraph6.java b/src/test/java/org/mastodon/mamut/feature/branch/exampleGraph/ExampleGraph6.java new file mode 100644 index 000000000..13431b9d2 --- /dev/null +++ b/src/test/java/org/mastodon/mamut/feature/branch/exampleGraph/ExampleGraph6.java @@ -0,0 +1,53 @@ +package org.mastodon.mamut.feature.branch.exampleGraph; + +import org.mastodon.mamut.model.ModelGraph; +import org.mastodon.mamut.model.Spot; +import org.mastodon.mamut.model.branch.BranchSpot; +import org.mastodon.mamut.model.branch.ModelBranchGraph; + +/** + * Represents a {@link AbstractExampleGraph} with the following {@link ModelGraph}: + * + *

Model-Graph (i.e. Graph of Spots)

+ * 
+ * Spot( 0, X=1, Y=1, tp=0 )        Spot( 1, X=0, Y=1, tp=0 )       Spot( 2, X=2, Y=1, tp=0 )
+ *              │                                │                               │
+ * Spot( 0, X=1, Y=2, tp=1 )        Spot( 1, X=0, Y=0, tp=1 )       Spot( 2, X=2, Y=0, tp=1 )
+ *              │                                │                               │
+ * Spot( 0, X=1, Y=3, tp=2 )        Spot( 1, X=0, Y=-1, tp=2 )      Spot( 3, X=2, Y=-1, tp=2 )
+ *
+ */ +public class ExampleGraph6 extends AbstractExampleGraph +{ + + public final Spot spot0; + + public final Spot spot1; + + public final Spot spot2; + + public final Spot spot3; + + public final Spot spot4; + + public final Spot spot5; + + public final Spot spot6; + + public final Spot spot7; + + public final Spot spot8; + + public ExampleGraph6() + { + spot0 = addNode( "0", 0, new double[] { 1d, 1d, 0d } ); + spot1 = addNode( "0", 1, new double[] { 1d, 2d, 0d } ); + spot2 = addNode( "0", 2, new double[] { 1d, 3d, 0d } ); + spot3 = addNode( "1", 0, new double[] { 0d, 1d, 0d } ); + spot4 = addNode( "1", 1, new double[] { 0d, 0d, 0d } ); + spot5 = addNode( "1", 2, new double[] { 0d, -1d, 0d } ); + spot6 = addNode( "2", 0, new double[] { 2d, 1d, 0d } ); + spot7 = addNode( "2", 1, new double[] { 2d, 0d, 0d } ); + spot8 = addNode( "3", 2, new double[] { 2d, -1d, 0d } ); + } +} diff --git a/src/test/java/org/mastodon/mamut/util/LineageTreeUtilsTest.java b/src/test/java/org/mastodon/mamut/util/LineageTreeUtilsTest.java index c2394a95e..4b533652b 100644 --- a/src/test/java/org/mastodon/mamut/util/LineageTreeUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/util/LineageTreeUtilsTest.java @@ -33,7 +33,9 @@ import org.mastodon.collection.RefCollections; import org.mastodon.collection.RefSet; import org.mastodon.mamut.feature.branch.exampleGraph.ExampleGraph2; +import org.mastodon.mamut.feature.branch.exampleGraph.ExampleGraph3; import org.mastodon.mamut.feature.branch.exampleGraph.ExampleGraph4; +import org.mastodon.mamut.feature.branch.exampleGraph.ExampleGraph6; import org.mastodon.mamut.model.Link; import org.mastodon.mamut.model.Model; import org.mastodon.mamut.model.Spot; @@ -57,11 +59,14 @@ public class LineageTreeUtilsTest private ExampleGraph4 graph4; + private ExampleGraph6 graph6; + @Before public void setUp() { graph2 = new ExampleGraph2(); graph4 = new ExampleGraph4(); + graph6 = new ExampleGraph6(); } @Test @@ -134,4 +139,23 @@ public void testGetAllEdgeSuccessors() actual = LineageTreeUtils.getAllEdgeSuccessors( graph4.branchSpotD, graph4.getModel().getBranchGraph() ); assertEquals( expected, actual ); } + + @Test + public void testLinkSpotsWithSameLabel() + { + assertEquals( 0, graph6.getModel().getGraph().edges().size() ); + LineageTreeUtils.linkSpotsWithSameLabel( graph6.getModel() ); + assertEquals( 5, graph6.getModel().getGraph().edges().size() ); + assertSpotEquals( graph6.spot0.outgoingEdges().get( 0 ).getTarget(), graph6.spot1 ); + assertSpotEquals( graph6.spot1.outgoingEdges().get( 0 ).getTarget(), graph6.spot2 ); + assertSpotEquals( graph6.spot3.outgoingEdges().get( 0 ).getTarget(), graph6.spot4 ); + assertSpotEquals( graph6.spot4.outgoingEdges().get( 0 ).getTarget(), graph6.spot5 ); + assertSpotEquals( graph6.spot6.outgoingEdges().get( 0 ).getTarget(), graph6.spot7 ); + assertEquals( 0, graph6.spot7.outgoingEdges().size() ); + } + + private void assertSpotEquals( final Spot expected, final Spot actual ) + { + assertEquals( expected, actual ); + } } From 3d446f445831c06ba97bf67226445146a21b3a37 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Tue, 19 Mar 2024 14:18:00 +0100 Subject: [PATCH 31/38] Refactored sub-package demo to util in test/../io/importer/labelimage --- .../mamut/io/importer/labelimage/LabelImageUtilsTest.java | 2 +- .../labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java | 2 +- .../importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java | 2 +- .../labelimage/{demo => util}/ComputeMeanAndVarianceDemo.java | 2 +- .../mamut/io/importer/labelimage/{demo => util}/DemoUtils.java | 2 +- .../{demo => util}/MultiVariateNormalDistributionRenderer.java | 2 +- 6 files changed, 6 insertions(+), 6 deletions(-) rename src/test/java/org/mastodon/mamut/io/importer/labelimage/{demo => util}/ComputeMeanAndVarianceDemo.java (99%) rename src/test/java/org/mastodon/mamut/io/importer/labelimage/{demo => util}/DemoUtils.java (99%) rename src/test/java/org/mastodon/mamut/io/importer/labelimage/{demo => util}/MultiVariateNormalDistributionRenderer.java (98%) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java index d3b346b37..9d2c10851 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java @@ -32,7 +32,7 @@ import org.junit.Test; import org.mastodon.mamut.ProjectModel; import org.mastodon.mamut.feature.EllipsoidIterable; -import org.mastodon.mamut.io.importer.labelimage.demo.DemoUtils; +import org.mastodon.mamut.io.importer.labelimage.util.DemoUtils; import org.mastodon.mamut.model.Model; import org.mastodon.mamut.model.Spot; import org.mastodon.views.bdv.overlay.util.JamaEigenvalueDecomposition; diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java index 19cba20f8..d436abb71 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelViewDemo.java @@ -4,7 +4,7 @@ import net.imglib2.type.numeric.real.FloatType; import org.mastodon.mamut.MainWindow; import org.mastodon.mamut.ProjectModel; -import org.mastodon.mamut.io.importer.labelimage.demo.DemoUtils; +import org.mastodon.mamut.io.importer.labelimage.util.DemoUtils; import org.mastodon.mamut.model.Model; import org.mastodon.mamut.views.bdv.MamutViewBdv; import org.scijava.Context; diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java index 24566b195..daa76ef16 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java @@ -12,7 +12,7 @@ import org.mastodon.mamut.MainWindow; import org.mastodon.mamut.ProjectModel; -import org.mastodon.mamut.io.importer.labelimage.demo.DemoUtils; +import org.mastodon.mamut.io.importer.labelimage.util.DemoUtils; import org.mastodon.mamut.model.Model; import org.mastodon.mamut.views.bdv.MamutViewBdv; import org.scijava.Context; diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/util/ComputeMeanAndVarianceDemo.java similarity index 99% rename from src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java rename to src/test/java/org/mastodon/mamut/io/importer/labelimage/util/ComputeMeanAndVarianceDemo.java index b53c01378..7761908e2 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/ComputeMeanAndVarianceDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/util/ComputeMeanAndVarianceDemo.java @@ -26,7 +26,7 @@ * POSSIBILITY OF SUCH DAMAGE. * #L% */ -package org.mastodon.mamut.io.importer.labelimage.demo; +package org.mastodon.mamut.io.importer.labelimage.util; import mpicbg.spim.data.sequence.DefaultVoxelDimensions; import mpicbg.spim.data.sequence.VoxelDimensions; diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/util/DemoUtils.java similarity index 99% rename from src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java rename to src/test/java/org/mastodon/mamut/io/importer/labelimage/util/DemoUtils.java index e0c07c995..bc92f0885 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/DemoUtils.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/util/DemoUtils.java @@ -26,7 +26,7 @@ * POSSIBILITY OF SUCH DAMAGE. * #L% */ -package org.mastodon.mamut.io.importer.labelimage.demo; +package org.mastodon.mamut.io.importer.labelimage.util; import ij.ImagePlus; import mpicbg.spim.data.sequence.DefaultVoxelDimensions; diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/MultiVariateNormalDistributionRenderer.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/util/MultiVariateNormalDistributionRenderer.java similarity index 98% rename from src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/MultiVariateNormalDistributionRenderer.java rename to src/test/java/org/mastodon/mamut/io/importer/labelimage/util/MultiVariateNormalDistributionRenderer.java index a3eef9bb2..045eccbbf 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/demo/MultiVariateNormalDistributionRenderer.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/util/MultiVariateNormalDistributionRenderer.java @@ -26,7 +26,7 @@ * POSSIBILITY OF SUCH DAMAGE. * #L% */ -package org.mastodon.mamut.io.importer.labelimage.demo; +package org.mastodon.mamut.io.importer.labelimage.util; import net.imglib2.RandomAccessibleInterval; import net.imglib2.loops.LoopBuilder; From 7c7210260a6509c0b93b9fd2ec30efd5a1ee9d31 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Tue, 19 Mar 2024 14:25:40 +0100 Subject: [PATCH 32/38] Change some debug messages to cover potential plurals of variables --- .../mamut/io/importer/labelimage/LabelImageUtils.java | 4 ++-- src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java index d2c8ddea2..89db87f07 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -83,7 +83,7 @@ static void createSpotsFromLabelImage( final IntFunction< RandomAccessibleInterv lock.writeLock().unlock(); } graph.notifyGraphChanged(); - logger.info( "Created {} new spots in {} frames.", count, frames.size() ); + logger.info( "Created {} new spot(s) in {} frame(s).", count, frames.size() ); } /** @@ -180,7 +180,7 @@ private static int createSpotsFromFrameLabels( final ModelGraph graph, final int Arrays.deepToString( cov ) ); } } - logger.debug( "Added {} spots to frame {}", count, frameId ); + logger.debug( "Added {} spot(s) to frame {}", count, frameId ); return count; } diff --git a/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java b/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java index 8bc341596..dc918aa7e 100644 --- a/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java +++ b/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java @@ -324,6 +324,6 @@ public static void linkSpotsWithSameLabel( final Model model ) } ) ); } model.getGraph().releaseRef( edgeRef ); - logger.debug( "Added {} edges to the graph.", model.getGraph().edges().size() ); + logger.debug( "Added {} edge(s) to the graph.", model.getGraph().edges().size() ); } } From 6e3cf5b015ac39a79e46fa4afdb3a8d48ca1ebb7 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Tue, 19 Mar 2024 14:29:43 +0100 Subject: [PATCH 33/38] Remove obsolete imports in test and demo classes --- .../mamut/io/importer/labelimage/LabelImageUtilsTest.java | 2 -- .../labelimage/ui/ImportSpotsFromImgPlusViewDemo.java | 5 ----- 2 files changed, 7 deletions(-) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java index 9d2c10851..d449b3693 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java @@ -4,7 +4,6 @@ import bdv.util.AbstractSource; import bdv.util.RandomAccessibleIntervalSource; import mpicbg.spim.data.generic.sequence.AbstractSequenceDescription; -import mpicbg.spim.data.generic.sequence.BasicViewDescription; import mpicbg.spim.data.generic.sequence.BasicViewSetup; import mpicbg.spim.data.sequence.FinalVoxelDimensions; import mpicbg.spim.data.sequence.TimePoint; @@ -15,7 +14,6 @@ import net.imagej.axis.CalibratedAxis; import net.imagej.axis.DefaultLinearAxis; import net.imagej.patcher.LegacyInjector; -import net.imglib2.Dimensions; import net.imglib2.FinalDimensions; import net.imglib2.RandomAccess; import net.imglib2.RandomAccessibleInterval; diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java index daa76ef16..9d46816c9 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusViewDemo.java @@ -1,14 +1,9 @@ package org.mastodon.mamut.io.importer.labelimage.ui; -import java.util.Arrays; -import java.util.List; - import ij.ImagePlus; import net.imglib2.img.Img; -import net.imglib2.img.ImgView; import net.imglib2.img.display.imagej.ImageJFunctions; import net.imglib2.type.numeric.real.FloatType; -import net.imglib2.view.Views; import org.mastodon.mamut.MainWindow; import org.mastodon.mamut.ProjectModel; From 63d340fa14f9b456b8ce96ad29aa08be36ec1726 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Tue, 19 Mar 2024 14:32:20 +0100 Subject: [PATCH 34/38] Add option to link spots with same labels in consecutive frames to ImportSpotsFromBdvChannelView and ImportSpotsFromImgPlusView commands --- .../importer/labelimage/LabelImageUtils.java | 19 +++++++++---- .../ui/ImportSpotsFromBdvChannelView.java | 7 ++++- .../ui/ImportSpotsFromImgPlusView.java | 6 +++- .../labelimage/LabelImageUtilsTest.java | 28 +++++++++++++++---- 4 files changed, 48 insertions(+), 12 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java index 89db87f07..9bd26018c 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtils.java @@ -19,6 +19,7 @@ import org.mastodon.mamut.model.Model; import org.mastodon.mamut.model.ModelGraph; import org.mastodon.mamut.model.Spot; +import org.mastodon.mamut.util.LineageTreeUtils; import org.mastodon.views.bdv.SharedBigDataViewerData; import org.scijava.app.StatusService; import org.slf4j.Logger; @@ -50,11 +51,13 @@ private LabelImageUtils() * @param frameProvider a function that provides the image data for each frame. * @param model the model to add the spots to. * @param scaleFactor the scale factor to use for the ellipsoid. 1 means 2.2σ and is the default. + * @param linkSpotsWithSameLabels whether to link spots with the same labels. * @param sequenceDescription the sequence description of the image data. Contains the voxel dimensions and the time points. * @param statusService the status service to report progress to. */ static void createSpotsFromLabelImage( final IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider, - final Model model, final double scaleFactor, final AbstractSequenceDescription< ?, ?, ? > sequenceDescription, + final Model model, final double scaleFactor, final boolean linkSpotsWithSameLabels, + final AbstractSequenceDescription< ?, ?, ? > sequenceDescription, final StatusService statusService ) { final ModelGraph graph = model.getGraph(); @@ -76,6 +79,8 @@ static void createSpotsFromLabelImage( final IntFunction< RandomAccessibleInterv if ( statusService != null ) statusService.showProgress( i + 1, numTimepoints ); } + if ( linkSpotsWithSameLabels ) + LineageTreeUtils.linkSpotsWithSameLabel( model ); model.setUndoPoint(); } finally @@ -272,9 +277,11 @@ public static boolean dimensionsMatch( final SharedBigDataViewerData sharedBigDa * @param projectModel the project model to add the spots to. * @param imgPlus the image to import the spots from. * @param scaleFactor the scale factor to use for the ellipsoid. 1 means 2.2σ and is the default. + * @param linkSpotsWithSameLabels whether to link spots with the same labels. * @throws IllegalArgumentException if the dimensions of the given image do not match the dimensions of the big data viewer image contained in the project model. */ - public static void importSpotsFromImgPlus( final ProjectModel projectModel, final ImgPlus< ? > imgPlus, final double scaleFactor ) + public static void importSpotsFromImgPlus( final ProjectModel projectModel, final ImgPlus< ? > imgPlus, final double scaleFactor, + final boolean linkSpotsWithSameLabels ) { logger.debug( "ImageJ image: {}", imgPlus.getName() ); final SharedBigDataViewerData sharedBdvData = projectModel.getSharedBdvData(); @@ -283,7 +290,7 @@ public static void importSpotsFromImgPlus( final ProjectModel projectModel, fina + " do not match the dimensions of the big data viewer image." ); IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider = frameId -> Cast.unchecked( Views.hyperSlice( imgPlus.getImg(), 3, frameId ) ); - createSpotsFromLabelImage( frameProvider, projectModel.getModel(), scaleFactor, + createSpotsFromLabelImage( frameProvider, projectModel.getModel(), scaleFactor, linkSpotsWithSameLabels, sharedBdvData.getSpimData().getSequenceDescription(), projectModel.getContext().getService( StatusService.class ) ); } @@ -293,13 +300,15 @@ public static void importSpotsFromImgPlus( final ProjectModel projectModel, fina * @param projectModel the project model to add the spots to. * @param source the source to import the spots from. * @param scaleFactor the scale factor to use for the ellipsoid. 1 means 2.2σ and is the default. + * @param linkSpotsWithSameLabels whether to link spots with the same labels. * @throws IllegalArgumentException if the label channel index is out of bounds, i.e. if it is greater than the number of channels in the big data viewer source contained in the project model. */ - public static void importSpotsFromBdvChannel( final ProjectModel projectModel, final Source< ? > source, final double scaleFactor ) + public static void importSpotsFromBdvChannel( final ProjectModel projectModel, final Source< ? > source, final double scaleFactor, + final boolean linkSpotsWithSameLabels ) { IntFunction< RandomAccessibleInterval< RealType< ? > > > frameProvider = frameId -> Cast.unchecked( source.getSource( frameId, 0 ) ); - createSpotsFromLabelImage( frameProvider, projectModel.getModel(), scaleFactor, + createSpotsFromLabelImage( frameProvider, projectModel.getModel(), scaleFactor, linkSpotsWithSameLabels, projectModel.getSharedBdvData().getSpimData().getSequenceDescription(), projectModel.getContext().getService( StatusService.class ) ); } diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java index 04ffa40af..e76d12e0d 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromBdvChannelView.java @@ -39,6 +39,10 @@ public class ImportSpotsFromBdvChannelView extends DynamicCommand @Parameter( label = "Ellipsoid scaling factor", min = "0", description = "Changes the size of the resulting ellipsoid in all dimensions. 1 means that the ellipsoid is drawn at 2.2σ, which is the default." ) private double scaleFactor = 1; + @SuppressWarnings( "all" ) + @Parameter( label = "Link spots having the same labels in consecutive frames", description = "This option assumes that labels from the input images are unique for one tracklet." ) + boolean linkSpotsWithSameLabels = false; + @SuppressWarnings( "unused" ) private void initImgSourceChoices() { @@ -53,6 +57,7 @@ public void run() .filter( source -> source.getSpimSource().getName().equals( imgSourceChoice ) ).findFirst(); if ( !sourceAndConverter.isPresent() ) return; - LabelImageUtils.importSpotsFromBdvChannel( projectModel, sourceAndConverter.get().getSpimSource(), scaleFactor ); + LabelImageUtils.importSpotsFromBdvChannel( projectModel, sourceAndConverter.get().getSpimSource(), scaleFactor, + linkSpotsWithSameLabels ); } } diff --git a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java index 0caab1440..ae6ed9d25 100644 --- a/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java +++ b/src/main/java/org/mastodon/mamut/io/importer/labelimage/ui/ImportSpotsFromImgPlusView.java @@ -44,6 +44,10 @@ public class ImportSpotsFromImgPlusView< T > extends ContextCommand @Parameter( label = "Ellipsoid scaling factor", min = "0", description = "Changes the size of the resulting ellipsoid in all dimensions. 1 means that the ellipsoid is drawn at 2.2σ, which is the default." ) private double scaleFactor = 1; + @SuppressWarnings( "all" ) + @Parameter( label = "Link spots having the same labels in consecutive frames", description = "This option assumes that labels from the input images are unique for one tracklet." ) + boolean linkSpotsWithSameLabels = false; + @SuppressWarnings( "unused" ) private void validateImageData() { @@ -64,7 +68,7 @@ public void run() { if ( isCanceled() ) return; - LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, scaleFactor ); + LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, scaleFactor, linkSpotsWithSameLabels ); } @SuppressWarnings( "unused" ) diff --git a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java index d449b3693..372d7576a 100644 --- a/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/io/importer/labelimage/LabelImageUtilsTest.java @@ -89,7 +89,7 @@ public void testCreateSpotFromLabelImageEmpty() "Segmentation" ); IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = frameId -> Cast.unchecked( img.getSource( frameId, 0 ) ); - LabelImageUtils.createSpotsFromLabelImage( imgProvider, model, 1, sequenceDescription, null ); + LabelImageUtils.createSpotsFromLabelImage( imgProvider, model, 1, false, sequenceDescription, null ); assertEquals( 0, model.getGraph().vertices().size() ); } @@ -99,7 +99,7 @@ public void testCreateSpotFromNonLabelImage() AbstractSource< FloatType > img = createNonLabelImage(); IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = frameId -> Cast.unchecked( img.getSource( frameId, 0 ) ); - LabelImageUtils.createSpotsFromLabelImage( imgProvider, model, 1, sequenceDescription, null ); + LabelImageUtils.createSpotsFromLabelImage( imgProvider, model, 1, false, sequenceDescription, null ); assertEquals( 0, model.getGraph().vertices().size() ); } @@ -118,7 +118,7 @@ public void testCreateSpotFromWrongVoxelDimensions() AbstractSequenceDescription< ?, ?, ? > faultySequenceDescription = new SequenceDescriptionMinimal( timePoints, setups, null, null ); IntFunction< RandomAccessibleInterval< RealType< ? > > > imgProvider = frameId -> Cast.unchecked( img.getSource( frameId, 0 ) ); assertThrows( IllegalArgumentException.class, - () -> LabelImageUtils.createSpotsFromLabelImage( imgProvider, model, 1, faultySequenceDescription, null ) ); + () -> LabelImageUtils.createSpotsFromLabelImage( imgProvider, model, 1, false, faultySequenceDescription, null ) ); } @@ -132,7 +132,7 @@ public void testImportSpotsFromBdvChannel() Img< FloatType > img = createImageCubeCorners( pixelValue ); ProjectModel projectModel = DemoUtils.wrapAsAppModel( img, model, context ); LabelImageUtils.importSpotsFromBdvChannel( projectModel, projectModel.getSharedBdvData().getSources().get( 0 ).getSpimSource(), - 1 ); + 1, false ); Iterator< Spot > iter = model.getGraph().vertices().iterator(); Spot spot = iter.next(); @@ -177,7 +177,7 @@ public void testImportSpotsFromImgPlus() Img< FloatType > image = createImageFromSpot( spot, pixelValue ); ImgPlus< FloatType > imgPlus = createImgPlus( image, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); ProjectModel projectModel = DemoUtils.wrapAsAppModel( image, model, context ); - LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, 1 ); + LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, 1, false ); Iterator< Spot > iterator = model.getGraph().vertices().iterator(); iterator.next(); @@ -199,6 +199,24 @@ public void testImportSpotsFromImgPlus() } } + @Test + public void testImportSpotsFromImgPlusAndLinkSameLabels() + { + LegacyInjector.preinit(); + try (Context context = new Context()) + { + Img< FloatType > twoFramesImage = DemoUtils.generateExampleImage(); + ImgPlus< FloatType > imgPlus = createImgPlus( twoFramesImage, new FinalVoxelDimensions( "um", 1, 1, 1 ) ); + ProjectModel projectModel = DemoUtils.wrapAsAppModel( twoFramesImage, model, context ); + LabelImageUtils.importSpotsFromImgPlus( projectModel, imgPlus, 1, true ); + + assertEquals( 2, model.getGraph().vertices().size() ); + assertEquals( 1, model.getGraph().edges().size() ); + assertEquals( 1, model.getSpatioTemporalIndex().getSpatialIndex( 0 ).size() ); + assertEquals( 1, model.getSpatioTemporalIndex().getSpatialIndex( 1 ).size() ); + } + } + @Test public void testDimensionsMatch() { From 225a95a5ee2701e8b8146fb5786ac0591c251d34 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Tue, 19 Mar 2024 15:37:13 +0100 Subject: [PATCH 35/38] Add splitting case to method description of linkSpotsWithSameLabel() * Add unit test covering a splitting event for method linkSpotsWithSameLabel --- .../org/mastodon/mamut/util/LineageTreeUtils.java | 8 ++++++-- .../feature/branch/exampleGraph/ExampleGraph6.java | 14 ++++++++++---- .../mastodon/mamut/util/LineageTreeUtilsTest.java | 6 ++++-- 3 files changed, 20 insertions(+), 8 deletions(-) diff --git a/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java b/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java index dc918aa7e..5e4a60277 100644 --- a/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java +++ b/src/main/java/org/mastodon/mamut/util/LineageTreeUtils.java @@ -300,14 +300,18 @@ public static < V extends Vertex< E >, E extends Edge< V > > RefSet< E > getAllE * Spot(label=0,X=1,Y=2,tp=1) Spot(label=1,X=0,Y=0,tp=1 ) Spot(label=2,X=2,Y=0,tp=1 ) * * Spot(label=0,X=1,Y=3,tp=2 ) Spot(label=1,X=0,Y=-1,tp=2 ) Spot(label=3,X=2,Y=-1,tp=2 ) + * + * Spot(label=0,X=1,Y=4,tp=3 ) Spot(label=0,X=0,Y=-2,tp=3 ) * * This method will add edges between the following spots: * 
 	 * Spot(label=0,X=1,Y=1,tp=0)        Spot(label=1,X=0,Y=1,tp=0 )       Spot(label=2,X=2,Y=1,tp=0 )
-	 *              │                                │                               │
+	 *              │                                 │                                 │
 	 * Spot(label=0,X=1,Y=2,tp=1)        Spot(label=1,X=0,Y=0,tp=1 )       Spot(label=2,X=2,Y=0,tp=1 )
-	 *              │                                │
+	 *              │                                 │
 	 * Spot(label=0,X=1,Y=3,tp=2 )       Spot(label=1,X=0,Y=-1,tp=2 )      Spot(label=3,X=2,Y=-1,tp=2 )
+	 *       ┌──────┴────────────────────────────┐
+	 * Spot(label=0,X=1,Y=4,tp=3 )  Spot(label=0,X=0,Y=-2,tp=3 )
 	 *
* @param model the model to link spots in. */ diff --git a/src/test/java/org/mastodon/mamut/feature/branch/exampleGraph/ExampleGraph6.java b/src/test/java/org/mastodon/mamut/feature/branch/exampleGraph/ExampleGraph6.java index 13431b9d2..2540c39d0 100644 --- a/src/test/java/org/mastodon/mamut/feature/branch/exampleGraph/ExampleGraph6.java +++ b/src/test/java/org/mastodon/mamut/feature/branch/exampleGraph/ExampleGraph6.java @@ -2,8 +2,6 @@ import org.mastodon.mamut.model.ModelGraph; import org.mastodon.mamut.model.Spot; -import org.mastodon.mamut.model.branch.BranchSpot; -import org.mastodon.mamut.model.branch.ModelBranchGraph; /** * Represents a {@link AbstractExampleGraph} with the following {@link ModelGraph}: @@ -11,10 +9,12 @@ *

Model-Graph (i.e. Graph of Spots)

* 
  * Spot( 0, X=1, Y=1, tp=0 )        Spot( 1, X=0, Y=1, tp=0 )       Spot( 2, X=2, Y=1, tp=0 )
- *              │                                │                               │
+ *
  * Spot( 0, X=1, Y=2, tp=1 )        Spot( 1, X=0, Y=0, tp=1 )       Spot( 2, X=2, Y=0, tp=1 )
- *              │                                │                               │
+ *
  * Spot( 0, X=1, Y=3, tp=2 )        Spot( 1, X=0, Y=-1, tp=2 )      Spot( 3, X=2, Y=-1, tp=2 )
+ *
+ * Spot( 0, X=1, Y=4, tp=3 )        Spot( 0, X=0, Y=-2, tp=3 )
  *
*/ public class ExampleGraph6 extends AbstractExampleGraph @@ -38,6 +38,10 @@ public class ExampleGraph6 extends AbstractExampleGraph public final Spot spot8; + public final Spot spot9; + + public final Spot spot10; + public ExampleGraph6() { spot0 = addNode( "0", 0, new double[] { 1d, 1d, 0d } ); @@ -49,5 +53,7 @@ public ExampleGraph6() spot6 = addNode( "2", 0, new double[] { 2d, 1d, 0d } ); spot7 = addNode( "2", 1, new double[] { 2d, 0d, 0d } ); spot8 = addNode( "3", 2, new double[] { 2d, -1d, 0d } ); + spot9 = addNode( "0", 3, new double[] { 1d, 4d, 0d } ); + spot10 = addNode( "0", 3, new double[] { 0d, -2d, 0d } ); } } diff --git a/src/test/java/org/mastodon/mamut/util/LineageTreeUtilsTest.java b/src/test/java/org/mastodon/mamut/util/LineageTreeUtilsTest.java index 4b533652b..a373395c4 100644 --- a/src/test/java/org/mastodon/mamut/util/LineageTreeUtilsTest.java +++ b/src/test/java/org/mastodon/mamut/util/LineageTreeUtilsTest.java @@ -33,7 +33,6 @@ import org.mastodon.collection.RefCollections; import org.mastodon.collection.RefSet; import org.mastodon.mamut.feature.branch.exampleGraph.ExampleGraph2; -import org.mastodon.mamut.feature.branch.exampleGraph.ExampleGraph3; import org.mastodon.mamut.feature.branch.exampleGraph.ExampleGraph4; import org.mastodon.mamut.feature.branch.exampleGraph.ExampleGraph6; import org.mastodon.mamut.model.Link; @@ -145,12 +144,15 @@ public void testLinkSpotsWithSameLabel() { assertEquals( 0, graph6.getModel().getGraph().edges().size() ); LineageTreeUtils.linkSpotsWithSameLabel( graph6.getModel() ); - assertEquals( 5, graph6.getModel().getGraph().edges().size() ); + assertEquals( 7, graph6.getModel().getGraph().edges().size() ); assertSpotEquals( graph6.spot0.outgoingEdges().get( 0 ).getTarget(), graph6.spot1 ); assertSpotEquals( graph6.spot1.outgoingEdges().get( 0 ).getTarget(), graph6.spot2 ); assertSpotEquals( graph6.spot3.outgoingEdges().get( 0 ).getTarget(), graph6.spot4 ); assertSpotEquals( graph6.spot4.outgoingEdges().get( 0 ).getTarget(), graph6.spot5 ); assertSpotEquals( graph6.spot6.outgoingEdges().get( 0 ).getTarget(), graph6.spot7 ); + assertEquals( 2, graph6.spot2.outgoingEdges().size() ); + assertSpotEquals( graph6.spot2.outgoingEdges().get( 0 ).getTarget(), graph6.spot10 ); + assertSpotEquals( graph6.spot2.outgoingEdges().get( 1 ).getTarget(), graph6.spot9 ); assertEquals( 0, graph6.spot7.outgoingEdges().size() ); } From 134e2079eeda85b8a0497edd02539abc090211c9 Mon Sep 17 00:00:00 2001 From: Stefan Hahmann Date: Tue, 19 Mar 2024 16:47:11 +0100 Subject: [PATCH 36/38] Add documentation for importing spots from labels to README.md --- README.md | 75 ++++++++++++++++++ .../imagej/plugin_import_bdv_menu.png | Bin 0 -> 20922 bytes .../imagej/plugin_import_example_1.png | Bin 0 -> 189838 bytes .../imagej/plugin_import_example_2.png | Bin 0 -> 142519 bytes .../imagej/plugin_import_example_3.png | Bin 0 -> 34003 bytes .../imagej/plugin_import_example_4.png | Bin 0 -> 155531 bytes .../imagej/plugin_import_example_5.png | Bin 0 -> 232835 bytes .../imagej/plugin_import_example_6.png | Bin 0 -> 205796 bytes .../imagej/plugin_import_example_7.png | Bin 0 -> 221581 bytes .../imagej/plugin_import_imagej_menu.png | Bin 0 -> 37785 bytes 10 files changed, 75 insertions(+) create mode 100644 doc/deep_lineage/import/label_image/imagej/plugin_import_bdv_menu.png create mode 100644 doc/deep_lineage/import/label_image/imagej/plugin_import_example_1.png create mode 100644 doc/deep_lineage/import/label_image/imagej/plugin_import_example_2.png create mode 100644 doc/deep_lineage/import/label_image/imagej/plugin_import_example_3.png create mode 100644 doc/deep_lineage/import/label_image/imagej/plugin_import_example_4.png create mode 100644 doc/deep_lineage/import/label_image/imagej/plugin_import_example_5.png create mode 100644 doc/deep_lineage/import/label_image/imagej/plugin_import_example_6.png create mode 100644 doc/deep_lineage/import/label_image/imagej/plugin_import_example_7.png create mode 100644 doc/deep_lineage/import/label_image/imagej/plugin_import_imagej_menu.png diff --git a/README.md b/README.md index 93e8d0cfb..738286c8a 100644 --- a/README.md +++ b/README.md @@ -215,6 +215,81 @@ Tree2 * The resulting tag set used for coloring the track scheme branch view. ![Trackscheme Branch View with tags](doc/deep_lineage/lineage_classification/trackscheme_branch_with_tags.png) +## Imports + +### Import Spots from Label Image + +* You can use the plugin to import spots from a label image representing an instance segmentation into Mastodon. This + may be useful if you have an instance segmentation of cells or other objects, and you want to track them using + Mastodon. +* The label image is expected to contain the spot ids as pixel values. +* The label image is expected to have the same dimensions as the image data in Mastodon. +* Labels are processed frame by frame. +* Multiple blobs with the same id in the same frame are considered to belong to the same spot by this importer. It is + advised to use a unique ids for spots in the same frame. + +#### Parameters + +* Ellipsoid scaling factor: The scaling factor to apply to the ellipsoids. The default is 1.0. The scaling factor is + applied to the semi axes of the ellipsoids. The ellipsoid scaling factor can be used to increase (>1) or decrease ( + <1) the size of the resulting ellipsoid. 1 is equivalent of ellipsoids drawn at 2.2σ. +* Link spots having the same id in consecutive frames: If checked, spots with the same id in consecutive frames are + linked. + +#### Instance segmentation as active image in ImageJ + +* The label image can be opened in ImageJ and the plugin can be called from the + menu: ![Plugin Import Menu](doc/deep_lineage/import/label_image/imagej/plugin_import_imagej_menu.png) +* Please make sure that the label image is the active image in ImageJ. +* Please make sure that the label image has the same dimensions as the image data in Mastodon. + * You can use the `Image > Properties` command ImageJ to check (and) set the dimensions of the label image. + +##### Example + +* Example + dataset: [Fluo-C3DL-MDA231 from Cell Tracking Challenge](http://data.celltrackingchallenge.net/training-datasets/Fluo-C3DL-MDA231.zip) + * Extract the file to a folder named `Fluo-C3DL-MDA231` + * Import the image sequence with the actual image into ImageJ contained in folder `Fluo-C3DL-MDA231/01/` + * `File > Import > Image Sequence...` + * Set the dimensions of the image sequence to 512x512x1x30x12 (XYCTZ) using `Image > Properties` + * ![plugin_import_example_1.png](doc/deep_lineage/import/label_image/imagej/plugin_import_example_1.png) + * Open Mastodon from Fiji and create a new project with the image sequence + * `Plugins > Mastodon > new Mastodon project > Use an image opened in ImageJ > Create` + * ![plugin_import_example_2.png](doc/deep_lineage/import/label_image/imagej/plugin_import_example_2.png) + * Import the image sequence encoding the label images into ImageJ contained in folder: `Fluo-C3DL-MDA231/01_ERR_SEG/` + * Set the dimensions of the label image to 512x512x1x30x12 (XYCTZ) using `Image > Properties` + * ![plugin_import_example_3.png](doc/deep_lineage/import/label_image/imagej/plugin_import_example_3.png) + * Open Import window in Mastodon: `Plugins > Imports > Import spots from label image > Import spots from ImageJ image` + * Click `OK` and the spots are imported into Mastodon. + * ![plugin_import_example_4.png](doc/deep_lineage/import/label_image/imagej/plugin_import_example_4.png) + +#### Instance segmentation as BDV channel + +* The plugin can be called from the + menu: ![Plugin Import Menu](doc/deep_lineage/import/label_image/imagej/plugin_import_imagej_menu.png) + +##### Example + +* Example + dataset: [Fluo-C3DL-MDA231 from Cell Tracking Challenge](http://data.celltrackingchallenge.net/training-datasets/Fluo-C3DL-MDA231.zip) + * Extract the file to a folder named `Fluo-C3DL-MDA231` + * Import the image sequence with the actual image into ImageJ contained in folder `Fluo-C3DL-MDA231/01/` + * `File > Import > Image Sequence...` + * Set the dimensions of the image sequence to 512x512x1x30x12 (XYCTZ) using `Image > Properties` + * ![plugin_import_example_1.png](doc/deep_lineage/import/label_image/imagej/plugin_import_example_1.png) + * Import the image sequence encoding the label images into ImageJ contained in folder: `Fluo-C3DL-MDA231/01_ERR_SEG/` + * Set the dimensions of the label image to 512x512x1x30x12 (XYCTZ) using `Image > Properties` + * ![plugin_import_example_3.png](doc/deep_lineage/import/label_image/imagej/plugin_import_example_3.png) + * Merge the 2 images into a single image using the `Image > Color > Merge Channels...` command + * ![plugin_import_example_5.png](doc/deep_lineage/import/label_image/imagej/plugin_import_example_5.png) + * Open Mastodon from Fiji and create a new project with merged image + * `Plugins > Mastodon > new Mastodon project > Use an image opened in ImageJ > Create` + * ![plugin_import_example_6.png](doc/deep_lineage/import/label_image/imagej/plugin_import_example_6.png) + * Open Import window: `Plugins > Imports > Import spots from label image > Import spots from BDV channel` + * Select the BDV channel containing the label image + * Click `OK` and the spots are imported into Mastodon. + * ![plugin_import_example_7.png](doc/deep_lineage/import/label_image/imagej/plugin_import_example_7.png) + ## Exports ### Label Image Exporter diff --git a/doc/deep_lineage/import/label_image/imagej/plugin_import_bdv_menu.png b/doc/deep_lineage/import/label_image/imagej/plugin_import_bdv_menu.png new file mode 100644 index 0000000000000000000000000000000000000000..b2143c617a03a70041a187e8d18b7445660c07c2 GIT binary patch literal 20922 zcmZs@1yo$Y(k)Cvf@^@_9^4_g48fh?4#9%EJHg%EU4pwqaCdii28Y3ULvp|SzW1+x zF|as&tou|~)$U#UOz?LZQA9W#I0y&`L~$`8c?gL2K=A*iFi_yX<76>`5D@SDOaukL ziwg=8S=(CuG%+`XfS`=_h~^dR=Ev*RQOGBWM*3Iu8H@)$J&~G;TAtgQwyGP+sHCYG6cH$)`Sb}bN%4sB&M6$f zi*R<~ITJC)G}2~G)9cO#b+BlSX|T(u@kHKBijjOoWj-p(f`eyLXO)-AGXb1#652jd z*$(df_Kwzn$66GH2e>1AI-R4Hk!}|69l%Axh5X9@-PgYxDEVu>MT1?Fj z0)n3O?f0E?KEM&&2yHJeEew4CiH1z_$vmmE1>A&fFRW@WXk}qxXlV~2XltlzZ)iZ| 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