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illumination normalization
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I=imread('fing2.jpg'); imshow(I); b= rgb2gray(I); >>c=adapthisteq(b); >>imshow(c); MN=size(c); >>background = imopen(c,strel('rectangle',MN)); >> I2 =imsubtract(c,background); I3= imadjust(I2); >>imshow(I3); level =graythresh(b); d=im2bw(I3,level); bw =bwareaopen(d, 50); >>imshow(bw);
kaviyaarulraj 0 0
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askin color thresholding
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I=imread('filename');
I=double(I);
[hue,s,v]=rgb2hsv(I);
cb = 0.148* I(:,:,1) - 0.291* I(:,:,2) + 0.439 * I(:,:,3) + 128;
cr = 0.439 * I(:,:,1) - 0.368 * I(:,:,2) -0.071 * I(:,:,3) + 128;
[w h]=size(I(:,:,1));
for i=1:w
for j=1:h
if 140<=cr(i,j) && cr(i,j)<=165 && 140<=cb(i,j) && cb(i,j)<=195 && 0.01<=hue(i,j) && hue(i,j)<=0.1
segment(i,j)=1;
else
segment(i,j)=0;
end
end
end
% imshow(segment);
im(:,:,1)=I(:,:,1).*segment;
im(:,:,2)=I(:,:,2).*segment;
im(:,:,3)=I(:,:,3).*segment;
figure,imshow(uint8(im));
kaviyaarulraj 1 0
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