matchTemplate//minMaxLoc//rectangle//normalize

///图像单目标模板匹配

#include "opencv2/opencv.hpp"

using namespace cv;

#include <iostream>

using namespace std;

int main()

{

Mat srcImg = imread("F:\\数据集\\数字图像处理标准测试图\\LenaRGB.bmp", CV_LOAD_IMAGE_COLOR);

Mat tempImg = imread("F:\\数据集\\数字图像处理标准测试图\\testLena.bmp", CV_LOAD_IMAGE_COLOR);

cout << "Size of template: " << tempImg.size() << endl;

//1.构建结果图像resultImg(注意大小和类型)

//如果原图(待搜索图像)尺寸为W x H, 而模版尺寸为 w x h, 则结果图像尺寸一定是(W-w+1)x(H-h+1)

//结果图像必须为单通道32位浮点型图像

int width = srcImg.cols - tempImg.cols + 1;

int height = srcImg.rows - tempImg.rows + 1;

Mat resultImg(Size(width, height), CV_32FC1);

//2.模版匹配

matchTemplate(srcImg, tempImg, resultImg, CV_TM_CCOEFF_NORMED);

imshow("result", resultImg);

//3.正则化(归一化到0-1)

normalize(resultImg, resultImg, 0, 1, NORM_MINMAX, -1);

imshow("result1", resultImg);

//4.找出resultImg中的最大值及其位置

double minValue = 0;

double maxValue = 0;

Point minPosition;

Point maxPosition;

minMaxLoc(resultImg, &minValue, &maxValue, &minPosition, &maxPosition);

cout << "minValue: " << minValue << endl;

cout << "maxValue: " << maxValue << endl;

cout << "minPosition: " << minPosition << endl;

cout << "maxPosition: " << maxPosition << endl;

//5.根据resultImg中的最大值位置在源图上画出矩形

rectangle(srcImg, maxPosition, Point(maxPosition.x + tempImg.cols, maxPosition.y + tempImg.rows), Scalar(0, 255, 0), 1, 8);

//rectangle(srcImage,矩形框左上角坐标，矩形框右下角坐标，。。。。。)

imshow("srcImg", srcImg);

imshow("template", tempImg);

waitKey(0);

return 0;

}