Opencv Match Template(轮廓匹配)

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

Mat img1, img2, img3, img4,img_result, img_gray1, img_gray2, img_gray3, img_hsv1, img_hsv2, img_hsv3;
MatND img_hist1, img_hist2, img_hist3;

char win1[] = "window1";
char win2[] = "window2";
char win3[] = "window3";
char win4[] = "window4";
char win5[] = "window5";

int threshold_value = 0;
int max_value = 255;
RNG rng(12345);

int Demo_Match_Template();
string convertToString(double d);
void Demo_Match(int,void*);

int index = 0;
int match_threshold = 20;
int max_track = 255;
int match_method = CV_TM_SQDIFF;

//模板匹配
int Demo_Match_Template()
{
　　namedWindow(win1, CV_WINDOW_AUTOSIZE);
　　//namedWindow(win2, CV_WINDOW_AUTOSIZE);
　　namedWindow(win3, CV_WINDOW_AUTOSIZE);

　　img1 = imread("D://images//1//p5.jpg");
　　img2 = imread("D://images//1//p5_1.jpg");
　　if (img1.empty()||img2.empty())
　　{
　　　　cout << "could not load image..." << endl;
　　　　return 0;
　　}
　　//imshow(win1, img1);
　　createTrackbar("Trace bar", win1, &match_threshold, max_track, Demo_Match);
　　Demo_Match(0,0);
　　imshow(win1, img1);
　　return 0;
}

void Demo_Match(int, void*)
{
　　int width = img1.cols - img2.cols + 1;
　　int height = img1.rows - img2.rows + 1;
　　img3 = Mat(width,height,CV_32FC1);

　　matchTemplate(img1, img2, img3, match_method, Mat());
　　//归一化
　　normalize(img3, img3, 0, 1, NORM_MINMAX,-1,Mat());

　　Point minLoc;
　　Point maxLoc;
　　Point tempLoc;
　　double min, max;
　　minMaxLoc(img3, &min, &max, &minLoc, &maxLoc, Mat());

　　if (match_method==CV_TM_SQDIFF || match_method==CV_TM_SQDIFF_NORMED)
　　{
　　　　tempLoc = minLoc;
　　}
　　else
　　{
　　　　tempLoc = maxLoc;
　　}
　　img1.copyTo(img4);
　　//绘制矩形
　　rectangle(img4, Rect(tempLoc.x, tempLoc.y,img2.cols,img2.rows),Scalar(0,0,255),2,8);
　　//rectangle(img3, Rect(tempLoc.x, tempLoc.y, img2.cols, img2.rows), Scalar(0, 0, 255), 2, 8);

　　imshow(win2,img2);
　　imshow(win3,img4);
}

string convertToString(double d)
{
　　ostringstream os;
　　if (os << d)
　　{
　　　　return os.str();
　　}
　　return "Invalid conversion...";
}

int main()
{
　　Demo_Match_Template();

　　waitKey(0);
　　return 0;
}