//对视频进行模板匹配操作

 #include <opencv2/opencv.hpp>

 #include <iostream>

 #define MATCHMETHOD TM_CCOEFF_NORMED//宏定义匹配模式

 using namespace cv;

 using namespace std;

 Mat src,resultImage;

 int main(int argc, char** argv)

 {

     VideoCapture capture("F:/2019视觉培训内容/2019视觉培训内容/4buff1.avi");

     Mat digita_l=imread("F:/2019视觉培训内容/2019视觉培训内容/数字识别数据集/数码管/1.png");

     while (capture.read(src)) {

         Mat frame;

         src.copyTo(frame);

         //初始化输出矩阵

         int resultImage_cols = src.cols - digita_l.cols + ;

         int resultImage_rows = src.rows - digita_l.rows + ;

         resultImage.create(resultImage_cols,resultImage_rows,CV_32FC1);

         //进行匹配和标准化

         matchTemplate(src, digita_l, resultImage, MATCHMETHOD);//滑动模板，将匹配程度依此放在resultImage中

         normalize(resultImage, resultImage, , , NORM_MINMAX, -, Mat());

         //定位最匹配位置

         double minValue, maxValue;

         Point minLocation, maxLocation, matchLocation;

         minMaxLoc(resultImage,&minValue,&maxValue,&minLocation,&maxLocation,Mat());

         if(MATCHMETHOD== TM_SQDIFF|| MATCHMETHOD==TM_SQDIFF_NORMED)//这两种方法，值越小匹配读越高

         {

             matchLocation = minLocation;

         }

         else { matchLocation = maxLocation; }

         rectangle(frame, matchLocation, Point(matchLocation.x + digita_l.cols, matchLocation.y + digita_l.rows), Scalar(, , ), , , );

         imshow("匹配结果", frame);

         imshow("结果图", resultImage);

         char c = waitKey();//延时100ms

         if (c == ) //等待“Esc”

         {

             break;

         }

     }

     capture.release();//释放视频的内存

     waitKey();

     return ;

 }