X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fimage-1.0.15%2Fstdfilt.m;fp=octave_packages%2Fimage-1.0.15%2Fstdfilt.m;h=dda10ca26d82dbb18356972dc04707c201062b79;hp=0000000000000000000000000000000000000000;hb=c880e8788dfc484bf23ce13fa2787f2c6bca4863;hpb=1705066eceaaea976f010f669ce8e972f3734b05 diff --git a/octave_packages/image-1.0.15/stdfilt.m b/octave_packages/image-1.0.15/stdfilt.m new file mode 100644 index 0000000..dda10ca --- /dev/null +++ b/octave_packages/image-1.0.15/stdfilt.m @@ -0,0 +1,74 @@ +## Copyright (C) 2008 Søren Hauberg +## +## This program is free software; you can redistribute it and/or modify +## it under the terms of the GNU General Public License as published by +## the Free Software Foundation; either version 3 of the License, or +## (at your option) any later version. +## +## This program is distributed in the hope that it will be useful, +## but WITHOUT ANY WARRANTY; without even the implied warranty of +## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +## GNU General Public License for more details. +## +## You should have received a copy of the GNU General Public License +## along with this program; if not, write to the Free Software +## Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA + +## -*- texinfo -*- +## @deftypefn {Function File} {@var{S} =} stdfilt (@var{im}) +## @deftypefnx{Function File} {@var{S} =} stdfilt (@var{im}, @var{domain}) +## @deftypefnx{Function File} {@var{S} =} stdfilt (@var{im}, @var{domain}, @var{padding}, ...) +## Computes the local standard deviation in a neighbourhood around each pixel in +## an image. +## +## The standard deviation of the pixels of a neighbourhood is computed as +## +## @example +## @var{S} = sqrt ((sum (@var{x} - @var{mu}).^2)/(@var{N}-1)) +## @end example +## +## where @var{mu} is the mean value of the pixels in the neighbourhood, +## @var{N} is the number of pixels in the neighbourhood. So, an unbiased estimator +## is used. +## +## The neighbourhood is defined by the @var{domain} binary mask. Elements of the +## mask with a non-zero value are considered part of the neighbourhood. By default +## a 3 by 3 matrix containing only non-zero values is used. +## +## At the border of the image, extrapolation is used. By default symmetric +## extrapolation is used, but any method supported by the @code{padarray} function +## can be used. Since extrapolation is used, one can expect a lower deviation near +## the image border. +## +## @seealso{std2, paddarray, entropyfilt} +## @end deftypefn + +function retval = stdfilt (I, domain = true (3), padding = "symmetric", varargin) + ## Check input + if (nargin == 0) + error ("stdfilt: not enough input arguments"); + endif + + if (!ismatrix (I)) + error ("stdfilt: first input must be a matrix"); + endif + + if (!ismatrix (domain)) + error ("stdfilt: second input argument must be a logical matrix"); + endif + domain = (domain > 0); + + ## Pad image + pad = floor (size (domain)/2); + I = padarray (I, pad, padding, varargin {:}); + even = (round (size (domain)/2) == size (domain)/2); + idx = cell (1, ndims (I)); + for k = 1:ndims (I) + idx {k} = (even (k)+1):size (I, k); + endfor + I = I (idx {:}); + + ## Perform filtering + retval = __spatial_filtering__ (I, domain, "std", I, 0); + +endfunction