how to calculate mean and variance of the image using W*W sliding window
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contrast enhancement is to improve the contrast of lesions for detection using a w*w sliding window with assumption that w is large enough to contain a statistically representative distribution of the local variation of lesions. where the sigmoid function used with the maximum and minimum intensity values of smooth green channel image,respectively. mean and variance of intensity values with in the window.
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Image Analyst
el 21 de Ag. de 2013
Try this:
meanImage = conv2(grayImage, ones(w)/w^2);
stdDevImage = stdfilt(grayImage, ones(w)/w^2);
varianceIMage = stdDevImage .^2;
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Image Analyst
el 27 de Ag. de 2013
Use the 'same' option in conv2 to get the same size image.
meanImage = conv2(grayImage, ones(w)/w^2, 'same');
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