实现模板匹配

1、函数

void matchTemplate(InputArray image,InputArray templ,OutputArray result,int method)

参数一：待搜索图像阵列，且需为8位或者32位浮点型图像

参数二：搜索模板，有相同的类型，且尺寸不大于输入图像

参数三：比较结果的映射图像

参数四：匹配的算法

平方差匹配方法：TM_SQDIFF

归一化平方差匹配法：TM_SQDIFF_NORMED

相关匹配法：TM_CCORR

归一化相关匹配法：TM_CCORR_NORMED

系数匹配法：TM_CCOEFF

归一化相关系数匹配法：TM_CCOEFF_NORMED

#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
#define WINDOW_NAME1 "原始图" 
#define WINDOW_NAME2 "效果图" 
using namespace std;
using namespace cv;

Mat g_srcImage,g_templateImage,g_resultImage;
int g_nMatchMethod;
int g_nMaxTrackbarNum = 5;
void on_Matching(int,void *);

int main(int argc,char *argv[])
{
	if(argc!=3)
		return -1;
	g_srcImage = imread(argv[1],1);
	g_templateImage = imread(argv[2],1);
	
	namedWindow(WINDOW_NAME1,WINDOW_AUTOSIZE);	
	namedWindow(WINDOW_NAME2,WINDOW_AUTOSIZE);	
	
	createTrackbar("方法",WINDOW_NAME1,&g_nMatchMethod,g_nMaxTrackbarNum,on_Matching);
	on_Matching(0,0);
	waitKey(0);
	return 0;
}
	
void on_Matching(int,void *)
{
	Mat srcImage;
	g_srcImage.copyTo(srcImage);
	int resultImage_cols = g_srcImage.cols - g_templateImage.cols +1;
	int resultImage_rows = g_srcImage.rows - g_templateImage.rows +1;
	g_resultImage.create(resultImage_rows,resultImage_cols,CV_32FC1);
	
	matchTemplate(g_srcImage,g_templateImage,g_resultImage,g_nMatchMethod);
	normalize(g_resultImage,g_resultImage,0,1,NORM_MINMAX,-1,Mat());
	
	double minValue,maxValue;
	Point minLocation,maxLocation,matchLocation;
	minMaxLoc(g_resultImage,&minValue,&maxValue,&minLocation,&maxLocation,Mat());
	
	if(g_nMatchMethod==TM_SQDIFF||g_nMatchMethod==TM_SQDIFF_NORMED)
		matchLocation = minLocation;
	else
		matchLocation = maxLocation;
	rectangle(g_srcImage,matchLocation,Point(matchLocation.x + g_templateImage.cols,matchLocation.y+g_templateImage.rows),Scalar(0,0,255),2,8,0);
	rectangle(g_resultImage,matchLocation,Point(matchLocation.x + g_templateImage.cols,matchLocation.y+g_templateImage.rows),Scalar(0,0,255),2,8,0);
	
	imshow(WINDOW_NAME1,g_srcImage);
	imshow(WINDOW_NAME2,g_resultImage);
	
		
	
}

结果图：

来自：opencv3编程入门毛星云pdf

猜你喜欢