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Image processing: finding transfer function of histogram equalization

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John Snow
John Snow le 18 Nov 2013
Commenté : Image Analyst le 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
Image Analyst le 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-');
  3 commentaires
Royi Avital
Royi Avital le 3 Mai 2015
This will work for Equalization. What if I want any other CDF function?
Image Analyst
Image Analyst le 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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Plus de réponses (1)

Anand
Anand le 18 Nov 2013
Or use the two argument syntax for histeq.
[histIm,T] = histeq(grayImage);
plot(T,'b-')
  2 commentaires
Image Analyst
Image Analyst le 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.
John Snow
John Snow le 18 Nov 2013
The result isnt "smooth" so I will take the first answer but thanks anyway

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