The characteristics of the original grayscale or color value transformation. Set the original image as f (x, y), and find the characteristic value T in f (x, y) according to certain criteria. That's what we call image binarization.

二值化变换 C++源码
..................\二值化变换
..................\..........\readme.txt
..................\..........\测试图片
..................\..........\........\二值化后.bmp
..................\..........\........\原始lena图像.bmp
..................\..........\源代码
..................\..........\......\dibapi.cpp
..................\..........\......\dibapi.h
..................\..........\......\MainFrm.cpp
..................\..........\......\MainFrm.h
..................\..........\......\mydib.cpp
..................\..........\......\mydib.h
..................\..........\......\MyDIP.aps
..................\..........\......\MyDIP.clw
..................\..........\......\MyDIP.cpp
..................\..........\......\MyDIP.dsp
..................\..........\......\MyDIP.dsw
..................\..........\......\MyDIP.h
..................\..........\......\MyDIP.rc
..................\..........\......\MyDIPDoc.cpp
..................\..........\......\MyDIPDoc.h
..................\..........\......\MyDIPView.cpp
..................\..........\......\MyDIPView.h
..................\..........\......\ReadMe.txt
..................\..........\......\Release
..................\..........\......\.......\MyDIP.exe
..................\..........\......\res
..................\..........\......\...\MyDIP.ico
..................\..........\......\...\MyDIP.rc2
..................\..........\......\...\MyDIPDoc.ico
..................\..........\......\...\Toolbar.bmp
..................\..........\......\Resource.h
..................\..........\......\StdAfx.cpp
..................\..........\......\StdAfx.h
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