chore: fix more typos (#753)

doc/tutorial/histogram.rst

@@ -7,7 +7,7 @@ Tutorial: Histogram
 
 This is a short tutorial presenting an example of a very simple sample of code
 from an existing code base that calculates histogram of an image.
-Next, the program is rewritten using GIL featres.
+Next, the program is rewritten using GIL features.
 
 Original implementation
 -----------------------

include/boost/gil/extension/io/jpeg/detail/write.hpp

@@ -103,7 +103,7 @@ class writer< Device
                         , TRUE
                         );
 
-        // Needs to be done after jpeg_set_defaults() since it's overridding this value back to slow.
+        // Needs to be done after jpeg_set_defaults() since it's overriding this value back to slow.
         this->get()->dct_method = this->_info._dct_method;
 
 
@@ -138,7 +138,7 @@ class writer< Device
 };
 
 ///
-/// JPEG Dyamic Image Writer
+/// JPEG Dynamic Image Writer
 ///
 template< typename Device >
 class dynamic_image_writer< Device

include/boost/gil/extension/io/tiff/detail/read.hpp

@@ -277,7 +277,7 @@ class reader< Device
 
                 break;
             }
-            case PHOTOMETRIC_SEPARATED: // CYMK
+            case PHOTOMETRIC_SEPARATED: // CMYK
             {
                 switch( this->_info._bits_per_sample )
                 {

include/boost/gil/extension/io/tiff/detail/scanline_read.hpp

@@ -326,7 +326,7 @@ class scanline_reader< Device
 
                         break;
                     }
-                    case PHOTOMETRIC_SEPARATED: // CYMK
+                    case PHOTOMETRIC_SEPARATED: // CMYK
                     {
                         switch( this->_info._bits_per_sample )
                         {

include/boost/gil/image_processing/convolve.hpp

@@ -27,7 +27,7 @@
 
 namespace boost { namespace gil {
 
-// 2D spatial seperable convolutions and cross-correlations
+// 2D spatial separable convolutions and cross-correlations
 
 namespace detail {
 

include/boost/gil/image_processing/histogram_matching.hpp

@@ -30,7 +30,7 @@ namespace boost { namespace gil {
 ///        Algorithm :-
 ///        1. Calculate histogram A(pixel) of input image and G(pixel) of reference image.
 ///        2. Compute the normalized cumulative(CDF) histograms of A and G.
-///        3. Match the histograms using transofrmation  => CDF(A(px)) = CDF(G(px'))
+///        3. Match the histograms using transformation  => CDF(A(px)) = CDF(G(px'))
 ///                                                      => px' = Inv-CDF (CDF(px))
 ///
 
@@ -73,7 +73,7 @@ auto histogram_matching(
         std::is_integral<SrcKeyType>::value &&
         std::is_integral<RefKeyType>::value &&
         std::is_integral<DstKeyType>::value,
-        "Source, Refernce or Destination histogram type is not appropriate.");
+        "Source, Reference or Destination histogram type is not appropriate.");
 
     using value_t = typename histogram<SrcKeyType>::value_type;
     dst_hist.clear();

include/boost/gil/image_processing/threshold.hpp

@@ -161,7 +161,7 @@ void threshold_binary(
 
 /// \ingroup ImageProcessing
 /// \brief Applies truncating threshold to each pixel of image view.
-/// Takes an image view and performs truncating threshold operation on each chennel.
+/// Takes an image view and performs truncating threshold operation on each channel.
 /// If mode is threshold and direction is regular:
 /// values greater than threshold_value will be set to threshold_value else no change
 /// If mode is threshold and direction is inverse:

test/extension/io/tiff/tiff_file_format_test.cpp

@@ -346,8 +346,8 @@ void test_thirty_two_bit_contiguous_rgb_image()
 #endif  // BOOST_GIL_IO_TEST_ALLOW_WRITING_IMAGES
 }
 
-// flower-rgb-planar-02.tif    73x43 2-bit seperated RGB image
-void test_two_bit_seperated_rgb_image()
+// flower-rgb-planar-02.tif    73x43 2-bit separated RGB image
+void test_two_bit_separated_rgb_image()
 {
     std::string filename(tiff_in + "libtiffpic/depth/flower-rgb-planar-02.tif");
 
@@ -360,8 +360,8 @@ void test_two_bit_seperated_rgb_image()
 #endif  // BOOST_GIL_IO_TEST_ALLOW_WRITING_IMAGES
 }
 
-// flower-rgb-planar-04.tif    73x43 4-bit seperated RGB image
-void test_four_bit_seperated_rgb_image()
+// flower-rgb-planar-04.tif    73x43 4-bit separated RGB image
+void test_four_bit_separated_rgb_image()
 {
     std::string filename(tiff_in + "libtiffpic/depth/flower-rgb-planar-04.tif");
 
@@ -374,8 +374,8 @@ void test_four_bit_seperated_rgb_image()
 #endif  // BOOST_GIL_IO_TEST_ALLOW_WRITING_IMAGES
 }
 
-// flower-rgb-planar-08.tif    73x43 8-bit seperated RGB image
-void test_eight_bit_seperated_rgb_image()
+// flower-rgb-planar-08.tif    73x43 8-bit separated RGB image
+void test_eight_bit_separated_rgb_image()
 {
     std::string filename(tiff_in + "libtiffpic/depth/flower-rgb-planar-08.tif");
 
@@ -388,8 +388,8 @@ void test_eight_bit_seperated_rgb_image()
 #endif  // BOOST_GIL_IO_TEST_ALLOW_WRITING_IMAGES
 }
 
-// flower-rgb-planar-10.tif    73x43 10-bit seperated RGB image
-void test_ten_bit_seperated_rgb_image()
+// flower-rgb-planar-10.tif    73x43 10-bit separated RGB image
+void test_ten_bit_separated_rgb_image()
 {
     std::string filename(tiff_in + "libtiffpic/depth/flower-rgb-planar-10.tif");
 
@@ -402,8 +402,8 @@ void test_ten_bit_seperated_rgb_image()
 #endif  // BOOST_GIL_IO_TEST_ALLOW_WRITING_IMAGES
 }
 
-// flower-rgb-planar-12.tif    73x43 12-bit seperated RGB image
-void test_twelve_bit_seperated_rgb_image()
+// flower-rgb-planar-12.tif    73x43 12-bit separated RGB image
+void test_twelve_bit_separated_rgb_image()
 {
     std::string filename(tiff_in + "libtiffpic/depth/flower-rgb-planar-12.tif");
 
@@ -416,8 +416,8 @@ void test_twelve_bit_seperated_rgb_image()
 #endif  // BOOST_GIL_IO_TEST_ALLOW_WRITING_IMAGES
 }
 
-// flower-rgb-planar-14.tif    73x43 14-bit seperated RGB image
-void test_fourteen_bit_seperated_rgb_image()
+// flower-rgb-planar-14.tif    73x43 14-bit separated RGB image
+void test_fourteen_bit_separated_rgb_image()
 {
     std::string filename(tiff_in + "libtiffpic/depth/flower-rgb-planar-14.tif");
 
@@ -430,8 +430,8 @@ void test_fourteen_bit_seperated_rgb_image()
 #endif  // BOOST_GIL_IO_TEST_ALLOW_WRITING_IMAGES
 }
 
-// flower-rgb-planar-16.tif    73x43 16-bit seperated RGB image
-void test_sixteen_bit_seperated_rgb_image()
+// flower-rgb-planar-16.tif    73x43 16-bit separated RGB image
+void test_sixteen_bit_separated_rgb_image()
 {
     std::string filename(tiff_in + "libtiffpic/depth/flower-rgb-planar-16.tif");
 
@@ -444,8 +444,8 @@ void test_sixteen_bit_seperated_rgb_image()
 #endif  // BOOST_GIL_IO_TEST_ALLOW_WRITING_IMAGES
 }
 
-// flower-rgb-planar-24.tif    73x43 24-bit seperated RGB image
-void test_twenty_four_bit_seperated_rgb_image()
+// flower-rgb-planar-24.tif    73x43 24-bit separated RGB image
+void test_twenty_four_bit_separated_rgb_image()
 {
     std::string filename(tiff_in + "libtiffpic/depth/flower-rgb-planar-24.tif");
 
@@ -458,8 +458,8 @@ void test_twenty_four_bit_seperated_rgb_image()
 #endif  // BOOST_GIL_IO_TEST_ALLOW_WRITING_IMAGES
 }
 
-// flower-rgb-planar-32.tif    73x43 32-bit seperated RGB image
-void test_thirty_two_bit_seperated_rgb_image()
+// flower-rgb-planar-32.tif    73x43 32-bit separated RGB image
+void test_thirty_two_bit_separated_rgb_image()
 {
     std::string filename(tiff_in + "libtiffpic/depth/flower-rgb-planar-32.tif");
 
@@ -609,15 +609,15 @@ int main()
     test_sixteen_bit_contiguous_rgb_image();
     test_twenty_four_bit_contiguous_rgb_image();
     test_thirty_two_bit_contiguous_rgb_image();
-    test_two_bit_seperated_rgb_image();
-    test_four_bit_seperated_rgb_image();
-    test_eight_bit_seperated_rgb_image();
-    test_ten_bit_seperated_rgb_image();
-    test_twelve_bit_seperated_rgb_image();
-    test_fourteen_bit_seperated_rgb_image();
-    test_sixteen_bit_seperated_rgb_image();
-    test_twenty_four_bit_seperated_rgb_image();
-    test_thirty_two_bit_seperated_rgb_image();
+    test_two_bit_separated_rgb_image();
+    test_four_bit_separated_rgb_image();
+    test_eight_bit_separated_rgb_image();
+    test_ten_bit_separated_rgb_image();
+    test_twelve_bit_separated_rgb_image();
+    test_fourteen_bit_separated_rgb_image();
+    test_sixteen_bit_separated_rgb_image();
+    test_twenty_four_bit_separated_rgb_image();
+    test_thirty_two_bit_separated_rgb_image();
     test_eight_bit_contiguous_cmyk_image();
     test_sixteen_bit_contiguous_cmyk_image();
     test_eight_bit_separated_cmyk_image();