#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include <math.h>
#ifdef _DEBUG
#pragma comment ( lib,"opencv_highgui244d.lib" )
#pragma comment ( lib,"opencv_core244d.lib" )
#pragma comment ( lib,"opencv_imgproc244d.lib" )
#else
#pragma comment ( lib,"opencv_highgui244.lib" )
#pragma comment ( lib,"opencv_core244.lib" )
#pragma comment ( lib,"opencv_imgproc244.lib" )
#endif
using namespace std;
using namespace cv;
//get the index of the min value
int app(vector<double> minV)
{
int t=0;
for (int i = 1; i < minV.size();i++)
{
if (minV[i] < minV[t]) t = i;
}
return t;
}
int main( )
{
Mat img = imread("src1.jpg"); //原图像
Mat temp = imread("template1.png"); //模板
Mat result;
vector<double> minV;
vector<Point> minL;
vector<Mat> down_temp;
down_temp.push_back(temp);
//匹配4次,每次模板缩小1/1.3
for (int i=0;i<4;i++)
{
long begin = GetTickCount();
Mat temp1;
cout<<down_temp[i].cols<<endl;
cout<<down_temp[i].rows<<endl;
int result_cols = img.cols - down_temp[i].cols + 1;
int result_rows = img.rows - down_temp[i].rows + 1;
result.create( result_cols, result_rows, CV_32FC1 );
matchTemplate( img, down_temp[i], result, CV_TM_SQDIFF );
double minVal;
double maxVal;
Point minLoc;
Point maxLoc;
Point matchLoc;
minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc);
minVal=minVal/(down_temp[i].cols*down_temp[i].rows);
cout<<minVal<<endl;
minV.push_back(minVal);
minL.push_back(minLoc);
resize( down_temp[i], temp1, Size( down_temp[i].cols/1.3, down_temp[i].rows/1.3) );
down_temp.push_back(temp1);
cout<< " calculate time : " << GetTickCount()-begin<<endl;
}
int location;
location = app(minV);
rectangle( img, minL[location], Point( minL[location].x + down_temp[location].cols , minL[location].y + down_temp[location].rows ), Scalar::all(0), 2, 8, 0 );
imshow("结果",img);
waitKey();
return 0;
}