相关系数法影像匹配

基于VS 2015 opencv 

#include
#include
using namespace std;
using namespace cv;

int main()
{
	Mat airport, plane;
	airport = imread("airport.bmp",0);
	plane = imread("template.bmp", 0);

	Mat Correlation(airport.rows,airport.cols, CV_64FC1, Scalar(0));
	Mat NormCorrelation;
	imshow("原始图", airport);
	imshow("飞机", plane);

	int N = plane.cols*plane.rows;
	double Sgf = 0, Sgg = 0, Sff = 0,Sg = 0,Sf = 0;
	double Ss;

	//模板
	for (int a = 0; a < plane.rows; ++a)
	{
		for (int b = 0; b < plane.cols; ++b)
		{
			Sg+= plane.at(a,b);
			Sgg += plane.at(a, b)*plane.at(a, b);
		}
	}
	double Cgg = Sgg - Sg*Sg / N;

	//再原始影像上进行窗口滑动
	for (int i = plane.rows / 2; i < airport.rows-plane.rows/2 - 1; i++)
	{
		for (int j = plane.rows / 2; j < airport.cols - plane.rows / 2 - 1; j++)
		{
			for (int c = 0; c < plane.rows; ++c)
			{
				for (int f = 0; f < plane.cols; ++f)
				{
					Sf += airport.at(i + c - plane.rows / 2, j + f - plane.cols / 2);
					Sff += (airport.at(i + c - plane.cols / 2, +f - plane.cols / 2)*airport.at(i + c - plane.cols / 2, +f - plane.cols / 2));
					Sgf += (plane.at(c, f)*airport.at(i + c - plane.rows / 2, j + f - plane.rows, j + f - plane.cols / 2));

				}
			}
			double Cff = Sff - Sf*Sf / N;
			Ss = sqrt(Cff*Cgg);
			Correlation.at(i,j) - (Sgf - Sg*Sg / N) / Ss;
			Sf = 0;
			Sgf = 0;
			Sff = 0;
		}
	}

	imshow("相关系数图像", Correlation);
	double minVal;
	double maxVal;
	Point minLoc;
	Point maxLoc;
	minMaxLoc(Correlation, &minVal, &maxVal, &minLoc, &maxLoc);
	cout << maxVal << endl << maxLoc.x << endl << maxLoc.y << endl;
	rectangle(airport,Point(maxLoc.x - 16, maxLoc.y - 16), Point(maxLoc.x + 16, maxLoc.y + 16), Scalar(0, 0, 255), 2, 8);
	cout << "over" << endl;
	waitKey(0);

}