From cc0fb732328f6f3a0137eddcd937c7c3e2badcab Mon Sep 17 00:00:00 2001 From: Moritz Lennert Date: Thu, 24 Oct 2024 17:39:24 +0200 Subject: [PATCH] i.segment.html: parameter names and links to other modules (#4483) --- imagery/i.segment/i.segment.html | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/imagery/i.segment/i.segment.html b/imagery/i.segment/i.segment.html index e30f21d3743..43d5e5fde68 100644 --- a/imagery/i.segment/i.segment.html +++ b/imagery/i.segment/i.segment.html @@ -100,11 +100,11 @@

Goodness of Fit

Mean shift

Mean shift image segmentation consists of 2 steps: anisotrophic filtering and 2. clustering. For anisotrophic filtering new cell values -are calculated from all pixels not farther than hs pixels away +are calculated from all pixels not farther than radius pixels away from the current pixel and with a spectral difference not larger than hr. That means that pixels that are too different from the current pixel are not considered in the calculation of new pixel values. -hs and hr are the spatial and spectral (range) bandwidths +radius and hr are the spatial and spectral (range) bandwidths for anisotrophic filtering. Cell values are iteratively recalculated (shifted to the segment's mean) until the maximum number of iterations is reached or until the largest shift is smaller than threshold. @@ -251,8 +251,6 @@

Functionality

Use of Segmentation Results