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Skin color detection problem

조회 수: 9 (최근 30일)
matlab_image
matlab_image 2012년 7월 9일
댓글: Image Analyst 2018년 9월 27일
I have following code of skin detection but I am not understanding it completely. Is it HSV or Ycbcr or combined. Can anybody please tell me which type of this code is. And please explain me following code in brief.
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));
Thanks in Advance.
  댓글 수: 7
Ravindra Singh Pawar
Ravindra Singh Pawar 2018년 9월 25일
Will you provide your reasearch paper please
Image Analyst
Image Analyst 2018년 9월 25일
I seriously doubt whether that ad hoc code was the subject of any research paper. For papers on image processing, see http://www.visionbib.com/bibliography/contents.html - it has almost all of them.

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채택된 답변

Image Analyst
Image Analyst 2012년 7월 9일
It's using both - for some reason. It's using Cb, Cr, and hue.
  댓글 수: 2
Ravindra Singh Pawar
Ravindra Singh Pawar 2018년 9월 27일
how can we not write ycbcr like [y,cb,cr]=rgb2ycbcr(I);
Image Analyst
Image Analyst 2018년 9월 27일
Not sure, that's just the way it is. Actually using rgb2hsv() like
[hue,s,v]=rgb2hsv(rgbImage);
is an undocumented usage. The help for rgb2hsv() does not mention the possibility of accepting 3 returned arrays. It only mentions that one array is returned.

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추가 답변 (1개)

Karbala'a Unvi. Science
Karbala'a Unvi. Science 2013년 10월 14일
Dear Sir, I hope that you help me in skin detection by using the RGB image directly not transfer it in to the Cb Cr color model
  댓글 수: 1
Image Analyst
Image Analyst 2013년 10월 14일
Skin color cannot be segmented in RGB color space by simple thresholding. That's because the gamut in 3D color space is not a simple box shape that can be carved out by thresholding. At least not for skin in general, though you may be able to do it for one person's skin, but not for skin of multiple different people of different skin colors. If you were to do it in RGB space you'd have to employ a complicated ad hoc scheme like tree bagging or something. That's much more complicated than going to a different color space though it would probably do a better job than simple thresholding in YCbCr space because it can follow the curves of the boomerang-shaped gamut better. Of course using tree bagger would work in any space due to the nature of it, but it depends on a complete training set where you teach it with all skin colors you ever expect to encounter. I know it's very confusing but I hope that explains it better.

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