图像处理之模板匹配

Opencv提供的模板匹配方法：

/* Template matching methods */
enum
{
    CV_TM_SQDIFF        =0,
    CV_TM_SQDIFF_NORMED =1,
    CV_TM_CCORR         =2,
    CV_TM_CCORR_NORMED  =3,
    CV_TM_CCOEFF        =4,
    CV_TM_CCOEFF_NORMED =5
};

#include "cv.h"
#include "highgui.h"
using namespace cv;
using namespace std;
int main(int argc,char *argv[])
{	
	Mat temp,search,result,resultU8;
	temp=imread("temp.jpg");
	search=imread("search.jpg");
	result.create((search.rows-temp.rows+1),(search.cols-temp.cols+1),CV_32FC1);
	matchTemplate(search,temp,result,CV_TM_SQDIFF);
	normalize(result,result,0,1,NORM_MINMAX);
	//convertScaleAbs(result,resultU8);或转CV_8UC1图像
	imshow("result",result);
	double minVal,maxVal;
	Point minIdx,maxIdx;
	minMaxLoc(result,&minVal,&maxVal,&minIdx,&maxIdx);
	cout<<"min:"<<minIdx<<":"<<minVal<<";max:"<<maxIdx<<":"<<maxVal<<endl;
	rectangle(search,minIdx,Point(minIdx.x+temp.cols-1,minIdx.y+temp.rows-1),Scalar(0,255,255),2);
	imshow("search",search);
	waitKey(0);
	destroyAllWindows();
	return 0;
}

注意，本实验采用是直接从search图像截取模板，这样匹配效果是很好的，实际的模板都是大众化。

尽管这样，CV_TM_CCORR方法获取的结果是错误的！

下面展示程序效果：（其他两类方法的匹配的位置应有最大值）