OpenCV——模板匹配

 

minMaxLoc函數：

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

說明: 

1 minMaxLoc尋找矩陣(一維數組當作向量,用Mat定義) 中最小值和最大值的位置.
2 參數若不需要,則置為NULL或者0,即可.
3 minMaxLoc針對Mat和MatND的重載中 ,第5個參數是可選的(optional),不使用不傳遞即可.

//對視頻進行模板匹配操作
#include <opencv2/opencv.hpp>
#include <iostream>

#define MATCHMETHOD TM_CCOEFF_NORMED//宏定義匹配模式
using namespace cv;
using namespace std;

Mat src,resultImage;

int main(int argc, char** argv)
{
    VideoCapture capture("F:/2019視覺培訓內容/2019視覺培訓內容/4buff1.avi");
    Mat digita_l=imread("F:/2019視覺培訓內容/2019視覺培訓內容/數字識別數據集/數碼管/1.png");
    while (capture.read(src)) {
        Mat frame;
        src.copyTo(frame);

        //初始化輸出矩陣
        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);

        //進行匹配和標准化
        matchTemplate(src, digita_l, resultImage, MATCHMETHOD);//滑動模板，將匹配程度依此放在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)//這兩種方法，值越小匹配讀越高
        {
            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("匹配結果", frame);
        imshow("結果圖", resultImage);

        char c = waitKey(100);//延時100ms
        if (c == 27) //等待“Esc”
        {
            break;
        }
    }
    capture.release();//釋放視頻的內存
    waitKey(0);

    return 0;
}