how to get adaptive contrast enhancement transformation of the gray image ?
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can this be done without using adapthisteq()?
the local variation of the lesions obtained by
g=255((sigmoid(color)-sigmoid(graymin))/(sigmoid(graymax) - sigmoid(graymin)) where # * sigmoid(color) = 1/(1+exp((mean - colorimage)/variance) # * sigmoid(graymin) is the min sigmoid value of the grayimage # * sigmoid(graymax) is the max sigmoid value of the grayimage
how can i get colorimage subtracted from meanimage which is grayscale
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Image Analyst
le 29 Août 2013
Sure, you can do almost whatever you want if you write it yourself. You can make a color image out of a grayscale image and then subtract:
grayImage3D = cat(3, grayImage, grayImage, grayImage);
% Cast to float to avoid clipping at 0.
newImage = double(rgbImage) - double(grayImage3D); % It's floating point now.
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Image Analyst
le 30 Août 2013
You gotta learn to read the error messages. It says it doesn't want uint8, so what do you think you should do now?
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