Description: If an image pixel occupies a lot of gray level and evenly distributed, so such images tend to have high contrast and varying shades of gray. Histogram equalization is a kind of input image histogram information alone can automatically achieve this effect transformation function. Its basic idea is the number of pixels in an image more gray-level broadening, while the number of pixels in the image of a small gray compress like to extend the dynamic range of the original value, improved contrast and gray tones changes to make the image clearer.
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Histogram equalization\68_直方图均衡化\1.jpg
......................\...............\68_equalizeHist.cpp
......................\...............\68_直方图均衡化.vcxproj
......................\...............\68_直方图均衡化.vcxproj.filters
......................\...............\68_直方图均衡化.vcxproj.user
......................\68_直方图均衡化.sln
......................\68_直方图均衡化.suo
......................\68_直方图均衡化
Histogram equalization
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