opencv3 寻找亚像素角点-cornerSubPix函数

#include<iostream>
#include<opencv2/opencv.hpp>
#include<vector>

using namespace cv;
using namespace std;

int main()
{
	Mat srcImage = imread("building.jpg");
	imshow("【原图】", srcImage);

	//因为强角点检测函数的输入图像是一个单通道的图像，所以，先对原图像进行图像空间的转换
	Mat grayImage;
	cvtColor(srcImage, grayImage, CV_BGR2GRAY);

	//开始进行强角点检测
	//先配置需要的函数参数
	vector<Point2f> dstPoint2f;
	goodFeaturesToTrack(grayImage, dstPoint2f, 200, 0.01, 10, Mat(), 3);

	//遍历每个点，进行绘制，便于显示
	Mat dstImage;
	srcImage.copyTo(dstImage);
	for (int i = 0; i < (int)dstPoint2f.size(); i++)
	{
		circle(dstImage, dstPoint2f[i], 3, Scalar(theRNG().uniform(0, 255), theRNG().uniform(0, 255), theRNG().uniform(0, 255))
			, 2, 8);
	}
	imshow("【检测到的角点图】", dstImage);

	//利用goodFeaturesToTrack函数得到的角点向量，进行亚像素角点的检测
	TermCriteria criteria(CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 40, 0.001);
	cornerSubPix(grayImage, dstPoint2f, Size(5, 5), Size(-1, -1), criteria);

	//绘制亚像素级角点图
	srcImage.copyTo(dstImage);
	for (int i = 0; i < (int)dstPoint2f.size(); i++)
	{
		circle(dstImage, dstPoint2f[i], 3, Scalar(theRNG().uniform(0, 255), theRNG().uniform(0, 255), theRNG().uniform(0, 255))
			, 2, 8);
	}
	imshow("【亚像素级角点图】", dstImage);

	waitKey(0);

	return 0;
}