Mercurial > hg > octave-image
view inst/histeq.m @ 276:e7355884e532 release-1.0.5
Actually use the number of bins, and scale the matrix to 0..1 range before using it (For Jonas Wagner)
author | adb014 |
---|---|
date | Mon, 11 Feb 2008 09:28:14 +0000 |
parents | 3da7ef6dd4ee |
children | c45838839d86 |
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## Copyright (C) 2000 Kai Habel ## ## 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 2 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, see <http://www.gnu.org/licenses/>. ## -*- texinfo -*- ## @deftypefn {Function File} @var{J} = histeq (@var{I}, @var{n}) ## Histogram equalization of a gray-scale image. The histogram contains ## @var{n} bins, which defaults to 64. ## ## @var{I}: Image in double format, with values from 0.0 to 1.0 ## ## @var{J}: Returned image, in double format as well ## @seealso{imhist} ## @end deftypefn ## Author: Kai Habel <kai.habel@gmx.de> ## Date: 08. August 2000 ## Modified-by: Jonas Wagner <j.b.w@gmx.ch> ## Date: 11. February 2008 function J = histeq (I, n) if (nargin == 0) print_usage(); elseif (nargin == 1) n = 64; endif [r,c] = size(I); I = mat2gray(I); [X,map] = gray2ind(I, n); [nn,xx] = imhist(I, n); Icdf = 1 / prod(size(I)) * cumsum(nn); J = reshape(Icdf(X),r,c); plot(Icdf,'b'); legend( 'Image Cumulative Density Function'); endfunction