Image processing: finding transfer function of histogram equalization
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John Snow
am 18 Nov. 2013
Kommentiert: Image Analyst
am 3 Mai 2015
Hello, lets say I have an image then I adjusted the contrast by using histogram equalization (histeq) Is there a way to plot or get an image of the transfer function that this command uses ?
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Image Analyst
am 18 Nov. 2013
Just take the histogram of the original image, then call cumsum on the pixel counts and plot it.
[pixelCounts, grayLevels] = imhist(grayImage);
cdf = cumsum(pixelCounts); % Make transfer function (look up table).
cdf = cdf / sum(cdf); % Normalize
plot(grayLevels, cdf, 'b-');
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Image Analyst
am 3 Mai 2015
Huh? That has nothing to do with equalization, though equalization can use the cdf just like a lot of other functions do. This is just general purpose code that will compute the cdf regardless of your histogram. What do you mean by "other CDF"? What other CDF functions might there be?
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Anand
am 18 Nov. 2013
Or use the two argument syntax for histeq.
[histIm,T] = histeq(grayImage);
plot(T,'b-')
2 Kommentare
Image Analyst
am 18 Nov. 2013
I didn't know it had that output - I guess I should have looked. Of course like I warn people histogram equalization gives a nonlinear stretch which usually looks pretty crummy and unnatural. imadjust() almost always gives a better looking image.
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