opencv图像匹配

//图像配准

void Match::image_match()

{

IplImage *image;

IplImage*image_model,*image_result,*image_rotation,*model_rotation,*match_result;

image=cvLoadImage("oil.jpg",0);

CvSize size;

size.height=image->height/2;

size.width=image->width/2;

image_model=cvCreateImage(size,image->depth,image->nChannels);

//cvResize(image,image_model,CV_INTER_LINEAR);

cvSetImageROI(image,cvRect(100,110,size.width,size.height));//截图

cvCopy(image,image_model,NULL);//复制图片

cvResetImageROI(image);//还原截图还原截图

CvPoint pp1, pp2;

    CvPointleftup,rightup,leftdown,rightdown; //定义匹配结果的4个点

double minVal, maxVal;

int resultW,resultH; //匹配结果的长宽

image_result=cvCloneImage(image);

image_rotation=cvCloneImage(image);

//image_rotation=cvCreateImage(cvSize(image->height,image->width),IPL_DEPTH_32F, 1);

model_rotation=cvCloneImage(image_model);

   //model_rotation=cvCreateImage(cvSize(image_model->height,image_model->width),IPL_DEPTH_32F, 1);

//lefttop

resultW=image->width-image_model->width+1;

resultH=image->height-image_model->height+1;

   match_result=cvCreateImage(cvSize(resultW,resultH),IPL_DEPTH_32F,1);

cvMatchTemplate(image, image_model,match_result,CV_TM_CCOEFF); 

cvMinMaxLoc(match_result,&minVal,&maxVal,&pp1,&pp2);

leftup.x=pp2.x;

leftup.y=pp2.y;

//righttop

Globle g;

g.ImageRotation(image,image_rotation,90); //把图像逆时针旋转90度

g.ImageRotation(image_model,model_rotation,90);//把模板逆时针旋转90度

resultW=image_rotation->width-model_rotation->width+1;

resultH=image_rotation->height-model_rotation->height+1;

   cvReleaseImage(&match_result); //释放第一次匹配结果

match_result=cvCreateImage(cvSize(resultW,resultH),IPL_DEPTH_32F, 1);

cvMatchTemplate(image_rotation, model_rotation,match_result,CV_TM_CCOEFF); 

cvMinMaxLoc(match_result,&minVal,&maxVal,&pp1,&pp2);

rightup.x=image_rotation->width-pp2.y-45;

rightup.y=pp2.x-45;

//rightdown

g.ImageRotation(image,image_rotation,180); //把图像逆时针旋转90度

g.ImageRotation(image_model,model_rotation,180);//把模板逆时针旋转90度

resultW=image_rotation->width-model_rotation->width+1;

resultH=image_rotation->height-model_rotation->height+1;

   cvReleaseImage(&match_result); //释放第二次匹配结果

match_result=cvCreateImage(cvSize(resultW,resultH),IPL_DEPTH_32F, 1);

cvMatchTemplate(image_rotation, model_rotation,match_result,CV_TM_CCOEFF); 

cvMinMaxLoc(match_result,  &minVal,&maxVal, &pp1, &pp2);

rightdown.x=image_rotation->width-pp2.x;

rightdown.y=image_rotation->height-pp2.y;

//leftdown

g.ImageRotation(image,image_rotation,270); //把图像逆时针旋转90度

g.ImageRotation(image_model,model_rotation,270);//把模板逆时针旋转90度

resultW=image_rotation->width-model_rotation->width+1;

resultH=image_rotation->height-model_rotation->height+1;

   cvReleaseImage(&match_result); //释放第二次匹配结果

match_result=cvCreateImage(cvSize(resultW,resultH),IPL_DEPTH_32F, 1);

cvMatchTemplate(image_rotation, model_rotation,match_result,CV_TM_CCOEFF); 

cvMinMaxLoc(match_result,  &minVal,&maxVal, &pp1, &pp2);

leftdown.x=pp2.y+45;

leftdown.y=image_rotation->height-pp2.x+45;

cvLine(image,leftup,rightup,CV_RGB(0,0,0),2);

cvLine(image,rightup,rightdown,CV_RGB(0,0,0),2);

cvLine(image,rightdown,leftdown,CV_RGB(0,0,0),2);

cvLine(image,leftdown,leftup,CV_RGB(0,0,0),2);

//显示

printf("width:%d,hight:%d\n",size.width,size.height);

printf("lefttop:%d,%d\n",leftup.x,leftup.y);

printf("rightup:%d,%d\n",rightup.x,rightup.y);

printf("rightdown:%d,%d\n",rightdown.x,rightdown.y);

printf("leftdown:%d,%d\n",leftdown.x,leftdown.y);

cvNamedWindow("window",1);

cvShowImage("window",image);

cvNamedWindow("window2",1);

cvShowImage("window2",image_model);

cvWaitKey(0);

cvDestroyWindow("window");

cvReleaseImage(&image);

cvDestroyWindow("window2");

cvReleaseImage(&image_model);

}