Reason for Histogram Equalisation for having "stacked" effects?

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Charles 2013-2-10

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https://ww2.mathworks.cn/matlabcentral/answers/62968-reason-for-histogram-equalisation-for-having-stacked-effects

I read in an image, run histeq on the it and store it as Img2. Then I run histeq again on Img2 and store it as Img3.

It turns out that when I compare the histograms of Img2 and Img3, the histogram of Img3 looks more equalised and uniform. Both Img2 and Img3, however, look almost identical with naked eyes.

This is a screenshot of their histograms. The one on the left is the histogram for Img2, while the right one is for Img3:

So it looks like the histogram equalisation can be "stacked" and by running many times can make the image even more uniform? Is there a reason for this?

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Image Analyst 2013-2-11

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https://ww2.mathworks.cn/matlabcentral/answers/62968-reason-for-histogram-equalisation-for-having-stacked-effects#answer_74518

What was your second input argument to histeq()?

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Charles 2013-2-12

oh wait a minute, I just realise that I put 255 as my second argument. Would this matter?

Image Analyst 2013-2-12

Let's take a step back and figure out why you want to do histogram equalization anyway. Almost always it's unnecessary to the subsequent processing and analysis, and produces a lousy, unnatural looking image.

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