diff --git a/imagery/i.segment/i.segment.html b/imagery/i.segment/i.segment.html index 1e2596c1d7e..47e6e4d4779 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