Mercurial > hg > octave-image
changeset 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 | 2c020edd905e |
children | 02b11f5cf655 |
files | inst/histeq.m |
diffstat | 1 files changed, 14 insertions(+), 6 deletions(-) [+] |
line wrap: on
line diff
--- a/inst/histeq.m +++ b/inst/histeq.m @@ -14,14 +14,20 @@ ## along with this program; If not, see <http://www.gnu.org/licenses/>. ## -*- texinfo -*- -## @deftypefn {Function File} @var{J}= histeq (@var{I}, @var{n}) +## @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) @@ -30,10 +36,12 @@ n = 64; endif - [r,c] = size (I); - [X,map] = gray2ind(I); - [nn,xx] = imhist(I); - Icdf = ceil (n * cumsum (1/prod(size(I)) * nn)); + [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;;'); + plot(Icdf,'b'); + legend( 'Image Cumulative Density Function'); endfunction