opencv学习之Shi-Tomasi角点检测

// opencv2413_test.cpp : 定义控制台应用程序的入口点。//#include "stdafx.h"#include <opencv2\opencv.hpp>#include <iostream>#include <string>using namespace cv;using namespace std;Mat g_srcImage, g_grayImage;int g_maxCornerNumber = 33;int g_maxTrackbarNumber = 500;RNG g_rng(12345);void on_GoodFeatureToTrack(int, void*);int main(){g_srcImage = imread("E:\\pictures\\For_Project\\Opencv_Test\\te.jpg");cvtColor(g_srcImage, g_grayImage, COLOR_BGR2GRAY);namedWindow("Shi_Tomasi角点检测", WINDOW_AUTOSIZE);createTrackbar("最大角点数量", "Shi_Tomasi角点检测", &g_maxCornerNumber, g_maxTrackbarNumber, on_GoodFeatureToTrack);imshow("Shi_Tomasi角点检测", g_srcImage);on_GoodFeatureToTrack(0, 0);waitKey();return 0;}void on_GoodFeatureToTrack(int, void*) {//对变量小于等于1进行处理if (g_maxCornerNumber <= 1) {g_maxCornerNumber = 1;}vector<Point2f> corners;//角点检测可接受的最小特征值double qualityLevel = 0.01;//角点之间的最小距离double minDistance = 10;//计算导数自相关矩阵时指定的领域范围int blockSize = 3;double k = 0.04;Mat copy = g_srcImage.clone();goodFeaturesToTrack(g_grayImage, corners, g_maxCornerNumber, qualityLevel, minDistance, Mat(), blockSize, false, k);cout << "此次检测到的角点数量为：" << corners.size() << endl;int r = 4;for (unsigned int i = 0; i < corners.size(); i++) {circle(copy, corners[i], r, Scalar(g_rng.uniform(0, 255), g_rng.uniform(0, 255), g_rng.uniform(0, 255)), -1, 8, 0);}imshow("Shi_Tomasi角点检测", copy);}