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
el 29 de Ag. de 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
el 30 de Ag. de 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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