How to replace certain gray level values in image to find information loss in both?

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h612
h612 on 2 Apr 2016
Commented: h612 on 4 Apr 2016
I'm finding information loss in Img1 and its replica Img2 when only a certain gray level values are allowed.
Entropy_Info_Loss=Entropy(Img1)-Entropy(img2);
where img2 must not have gray values other than eg.
only_include=[20, 30, 50].
img2(img1(:)~=only_include)=0;
However my result is all zeros image of img2. Can anyone assist me..

Accepted Answer

Walter Roberson
Walter Roberson on 2 Apr 2016
mask = ismember(img1, only_include);
img2 = img1;
img2(~mask) = 0;
  5 Comments
h612
h612 on 4 Apr 2016
Well this did work. Thank you. I tried using the class type only at first..but it didn't work. Using for loop did. Wondering what is wrong in the previously suggested method.

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