多目标识别

writen by [email protected]

思路
1.先对图像标记。给每个目标一个标号。
2.然后计算每个被标号目标的NMI特征值，
3.然后这些NMI特征值与已知要识别目标NMI特征值比较。
如果差值小于某个阈值，就说明该目标就是要识别的目标。

BOOL Cbiaoji1::ObjectionExtrationNMI(IplImage  * src)
{
    DWORD t3,t4;bool status=false;
    t3=::GetTickCount();
    IplImage *imgOb=NULL;
    IplImage *obImageNMI[255];
    float M[255];
    float J[255];
    float cx[255];
    float cy[255];
    for(int i=0;i<255;i++)
    {
        M[i]=0.0;
        J[i]=0.0;
        cx[i]=0.0;
        cy[i]=0.0;
    obImageNMI[i]=cvCreateImage(cvSize(src->width,src->height),8,1);
    cvZero(obImageNMI[i]);
    }
    imgOb=cvCreateImage(cvSize(src->width,src->height),8,1);
cvZero(imgOb);
        
biaoji(src);
    for(int t=0;t<=x_sign;t++)
    {
        if(flag[t]>0)
        {
            for(int m=0;m<src->height;m++)
            for(int n=0;n<src->width;n++)
            {
                if(CV_IMAGE_ELEM(temp,uchar,m,n)==t)
                {
                    CV_IMAGE_ELEM(obImageNMI[t],uchar,m,n)=255;
                }
            }
            for(int j=0;j<src->height;j++)
    
        for(i=0;i<src->width;i++)
        {

            
            M[t]+=(int)CV_IMAGE_ELEM(obImageNMI[t],uchar,j,i );
            cx[t]+=j*(int)CV_IMAGE_ELEM(obImageNMI[t],uchar,j,i);
            cy[t]+=i*(int)CV_IMAGE_ELEM(obImageNMI[t],uchar,j,i);
    
            
        }
        
            
     cx[t]/=M[t];
     cy[t]/=M[t];

     for(j=0;j<src->height;j++)
         for( i=0;i<src->width;i++)
         {
             J[t]+=((j-cx[t])*(j-cx[t])+(i-cy[t])*(i-cy[t]))*(int)(CV_IMAGE_ELEM(obImageNMI[t],uchar,j,i));
             
         }
    J[t]=sqrt(J[t])/M[t];
        }
    }
    for(t=0;t<=x_sign;t++)
    {
        if(J[t]!=0)
        {        cout<<"连通区"<<t<<"的NMI特征值"<<J[t]<<endl;
        if((fabs(J[t]-ModelNMIFeature)/J[t])<=1-PiPei/100)
        {
         for(int m=0;m<src->height;m++)
            for(int n=0;n<src->width;n++)
            {
                if(CV_IMAGE_ELEM(temp,uchar,m,n)==t)
                    CV_IMAGE_ELEM(imgOb,uchar,m,n)=255;
          status=true;
            }
        
        }}
    
    }
    for( i=0;i<255;i++)
    {
    
cvReleaseImage(&obImageNMI[i]);
    
    }
    cvCopy(imgOb,src);
        cvReleaseImage(&imgOb);
            cvReleaseImage(&temp);
            t4=::GetTickCount();
            cout<<"t4-t3="<<t4-t3<<endl;
            if(status)
            return true;
            else
                return false;
}