金字塔模板匹配算法_模板匹配_金字塔模板匹配

#include "opencv2/opencv.hpp" #include <iostream> using namespace std; using namespace cv; void main() { /* Mat temp = imread("E:\\Codes\\金字塔模板匹配算法\\金字塔模板匹配算法\\template.jpg"); Mat src = imread("E:\\Codes\\金字塔模板匹配算法\\金字塔模板匹配算法\\target.jpg");*/ Mat temp = imread("E:\\Codes\\GeoMatch_src\\GeoMatch\\template.jpg"); Mat src = imread("E:\\Codes\\GeoMatch_src\\GeoMatch\\缩放图像\\search0.5rotate90.jpg"); Mat dst = src.clone(); imshow("temp", temp); int width = src.cols - temp.cols + 1;//result宽度 int height = src.rows - temp.rows + 1;//result高度 Mat result(height, width, CV_32FC1);//创建结果映射图像 //matchTemplate(srcImg, templateImg, resultImg, CV_TM_SQDIFF); //平方差匹配法(最好匹配0) //matchTemplate(srcImg, templateImg, resultImg, CV_TM_SQDIFF_NORMED); //归一化平方差匹配法(最好匹配0) //matchTemplate(srcImg, templateImg, resultImg, CV_TM_CCORR); //相关匹配法(最坏匹配0) //matchTemplate(srcImg, templateImg, resultImg, CV_TM_CCORR_NORMED); //归一化相关匹配法(最坏匹配0) //matchTemplate(srcImg, templateImg, resultImg, CV_TM_CCOEFF); //系数匹配法(最好匹配1) matchTemplate(src, temp, result, CV_TM_CCOEFF_NORMED);//化相关系数匹配,最佳值1 imshow("result", result); normalize(result, result, 0, 1, NORM_MINMAX, -1);//归一化到0-1范围 double minValue, maxValue; Point minLoc, maxLoc; minMaxLoc(result, &minValue, &maxValue, &minLoc, &maxLoc); cout << "minValue=" << minValue << endl; cout << "maxValue=" << maxValue << endl; rectangle(dst, maxLoc, Point(maxLoc.x + temp.cols, maxLoc.y + temp.rows), Scalar(0, 255, 0), 2, 8); imshow("dst", dst); waitKey(0); }