文件列表:

skindetector\CDVP-group.jpg (154536, 2007-07-25)
skindetector\computeSkinProbability.m (602, 2007-07-25)
skindetector\image-105.jpg (98807, 2007-07-25)
skindetector\image6.jpg (133304, 2007-07-25)
skindetector\normalise.m (181, 2004-11-08)
skindetector\P1020809.jpg (92287, 2007-07-25)
skindetector\PIC_0111.JPG (156242, 2007-07-25)
skindetector\skinmodel.bin (131072, 2007-07-25)
skindetector\TestModel.m (1147, 2007-07-25)
skindetector (0, 2010-03-13)

Skin Pixel Likelihoods and Skin Detection ----------------------------------------------- This Matlab code was developed for skin pixel detection in general imagery. Non-parametric histogram-based models were trained using manually annotated skin and non-skin pixels. A total of 14,***5,845 skin pixels and 304,844,751 non-skin pixels were used. I hope you find it useful. - Ciarán Conaire (oconaire at eeng.dcu.ie) Demo: - Start Matlab - change to the folder that contains TestModel.m - run TestModel.m The demo requires the following files to be in the same folder: computeSkinProbability.m skinmodel.bin normalise.m General Usage: % Load an RGB image im = imread('image001.jpg'); % convert the image data to doubles im = double(im); % compute the skin likelihood for each pixel skinprob = computeSkinProbability(im); % threshold the likelihood to detect skin skin = (skinprob > 0)+0; % zero is added to cast from a logical-typed to a double-typed matrix Note that the following files should be in the path: computeSkinProbability.m skinmodel.bin

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