void CISLSView::OnThresholdOtsu()
{
//程序编制:李立宗 lilizong@gmail.com
//2012-8-14
if(myImage1.IsNull())
OnOpenResourceFile();
if(!myImage2.IsNull())
myImage2.Destroy();
if(myImage2.IsNull()){
myImage2.Create(myImage1.GetWidth(),myImage1.GetHeight(),24,0);
}
//COLORREF pixel;
int maxY = myImage1.GetHeight();
int maxX=myImage1.GetWidth();
byte* pRealData;
byte* pRealData2;
pRealData=(byte*)myImage1.GetBits();
pRealData2=(byte*)myImage2.GetBits();
int pit=myImage1.GetPitch();
int pit2=myImage2.GetPitch();
//需要注意,pit和pit2的值并不一样,所以如果使用一个值,会导致不同的结果出现
//CString str;
//str.Format(TEXT("%d"),pit);
//MessageBox(str);
//str.Format(TEXT("%d"),pit2);
//MessageBox(str);
int bitCount=myImage1.GetBPP()/8;
int bitCount2=myImage2.GetBPP()/8;
int tempR,tempG,tempB;
//float temp,tempX,tempY;
int temp;
int T=128;
//int pixel[4];
float u0,u1; //均值
float w0,w1; //概率
float sum0,sum1; //像素和
int optIndex,optT; //最优阈值,及其所在像素的值
float fVaria,fMaxVaria=0; //临时方差,最大方差
int i; //循环变量
//int pixelR[256],pixelG[256],pixelB[256];
int pixel[256]={0}; //不要忘记初始化
for (int y=0; yfMaxVaria)
{
fMaxVaria=fVaria;
optT=optIndex;
}
}
for (int y=0; yoptT)
tempR=255;
else
tempR=0;
tempG=tempR;
tempB=tempR;
*(pRealData2+pit2*y+x*bitCount2)=tempR;
*(pRealData2+pit2*y+x*bitCount2+1)=tempG;
*(pRealData2+pit2*y+x*bitCount2+2)=tempB;
}
}
Invalidate();
}