OpenCV——模板匹配

minMaxLoc函数：

void minMaxLoc( const Mat& src, double* minVal, double* maxVal=0, Point* minLoc=0, Point* maxLoc=0, const Mat& mask=Mat() ); 

说明: 

1 minMaxLoc寻找矩阵(一维数组当作向量,用Mat定义) 中最小值和最大值的位置.
2 参数若不需要,则置为NULL或者0,即可.
3 minMaxLoc针对Mat和MatND的重载中 ,第5个参数是可选的(optional),不使用不传递即可.

//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 + 1;
        int resultImage_rows = src.rows - digita_l.rows + 1;
        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, 0, 1, NORM_MINMAX, -1, 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(0, 0, 255), 2, 8, 0);

        imshow("匹配结果", frame);
        imshow("结果图", resultImage);

        char c = waitKey(100);//延时100ms
        if (c == 27) //等待“Esc”
        {
            break;
        }
    }
    capture.release();//释放视频的内存
    waitKey(0);

    return 0;
}