# HG changeset patch # User Avinoam # Date 1563036403 -10800 # Sat Jul 13 19:46:43 2019 +0300 # Node ID 6478b843976bd451865b97f5f59ae5ebaba24771 # Parent 1bfd7cc9e33f34d1642deedd0a93ad3864f430aa Slight improvement of the documentation of imsmooth.m (bug #56451) diff -r 1bfd7cc9e33f -r 6478b843976b inst/imsmooth.m --- a/inst/imsmooth.m Mon Jul 01 08:16:44 2019 +0200 +++ b/inst/imsmooth.m Sat Jul 13 19:46:43 2019 +0300 @@ -45,7 +45,7 @@ ## numbers, but the result has the same type as the input. Also, the size of the ## smoothed image is the same as the input image. ## -## @strong{Isotropic Gaussian smoothing} +## @strong{Gaussian - Isotropic Gaussian smoothing} ## ## The image is convolved with a Gaussian filter with spread @var{sigma}. ## By default @var{sigma} is @math{0.5}, but this can be changed. If the third @@ -53,7 +53,7 @@ ## ## The image is extrapolated symmetrically before the convolution operation. ## -## @strong{Rectangular averaging linear filter} +## @strong{Average - Rectangular averaging linear filter} ## ## The image is convolved with @var{N} by @var{M} rectangular averaging filter. ## By default a 3 by 3 filter is used, but this can e changed. If the third @@ -63,7 +63,7 @@ ## ## The image is extrapolated symmetrically before the convolution operation. ## -## @strong{Circular averaging linear filter} +## @strong{Disk - Circular averaging linear filter} ## ## The image is convolved with circular averaging filter. By default the filter ## has a radius of 5, but this can e changed. If the third input argument is a @@ -71,7 +71,7 @@ ## ## The image is extrapolated symmetrically before the convolution operation. ## -## @strong{Median filtering} +## @strong{Median - Median filtering} ## ## Each pixel is replaced with the median of the pixels in the local area. By ## default, this area is 3 by 3, but this can be changed. If the third input @@ -80,7 +80,7 @@ ## ## The image is extrapolated symmetrically before the filtering is performed. ## -## @strong{Gaussian bilateral filtering} +## @strong{Bilateral - Gaussian bilateral filtering} ## ## The image is smoothed using Gaussian bilateral filtering as described by ## Tomasi and Manduchi [2]. The filtering result is computed as @@ -148,7 +148,7 @@ ## @var{J} = imsmooth(@var{I}, "p&m", 25, 0.25, @var{g}); ## @end example ## -## @strong{Custom Gaussian Smoothing} +## @strong{Custom Gaussian - Custom Gaussian Smoothing} ## ## The image is smoothed using a Gaussian filter with a spatially varying covariance ## matrix. The third and fourth input arguments contain the Eigenvalues of the