多目标识别
writen by wqj1212@yahoo.com.cn
思路
1.先對圖像標記。給每個目標一個標號。
2.然后計算每個被標號目標的NMI特征值,
3.然后這些NMI特征值與已知要識別目標NMI特征值比較。
如果差值小于某個閾值,就說明該目標就是要識別的目標。
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<<"連通區"<<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;
}
思路
1.先對圖像標記。給每個目標一個標號。
2.然后計算每個被標號目標的NMI特征值,
3.然后這些NMI特征值與已知要識別目標NMI特征值比較。
如果差值小于某個閾值,就說明該目標就是要識別的目標。
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<<"連通區"<<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;
}
轉載于:https://www.cnblogs.com/wqj1212/archive/2007/12/21/1009665.html
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