opencv3 确定图像强角点-goodFeaturesToTrack函数-滚动条

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

using namespace cv;
using namespace std;

int g_nMinDistance = 10;
int g_nMaxValue = 200;
Mat grayImage;
Mat srcImage;

void on_Track(int, void*)
{
	if (g_nMaxValue <= 1)
		g_nMaxValue = 1;

	//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, g_nMaxValue, 0.01, g_nMinDistance, 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);
}

int main()
{
	srcImage = imread("building.jpg");
	namedWindow("【原图】");
	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
	cvtColor(srcImage, grayImage, CV_BGR2GRAY);

	createTrackbar("MaxCor", "【原图】", &g_nMaxValue, 1000, on_Track);
	on_Track(0, 0);
	createTrackbar("MinDis", "【原图】", &g_nMinDistance, 100, on_Track);
	on_Track(0, 0);

	waitKey(0);

	return 0;
}