Calculated as follows bread.jpg image histogram, and a balanced image, and compare images before and after equalization and histogram. Histogram is a statistical gray level in each of the number of pixels, histogram equalization is to make a point of computing the input image is converted to gray level in each pixel have the same points of the output image (ie output histogram is flat). Formula is as follows: continuous case: discrete case: which states that the histogram of the input image, said gray levels, said the size of the input image.

hist

....\ChartDlg.cpp
....\ChartDlg.h
....\Debug
....\hist.aps
....\hist.clw
....\hist.cpp
....\hist.dsp
....\hist.dsw
....\hist.h
....\hist.ncb
....\hist.opt
....\hist.plg
....\hist.rc
....\ReadMe.txt
....\Resource.h
....\StdAfx.cpp
....\StdAfx.h

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