Shi-Tomasi角点检测

代码示例：

#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include<iostream>
#include<vector>
using namespace cv;
using namespace std;

#define WINDOW_NAME "Shi-Tomasi角点检测"

Mat src, gray;
;
;
RNG rng();

//滚动条回调函数
void onGoodFeaturesToTrack(int, void*){
    ){
        maxCornerNum = ;
    }
    //参数准备
    vector<Point2d> corners;
    double qualityLevel=0.01;//角点检测可接受的最小特征值
    ;//角点之间的最小距离
    ;//计算导数自相关矩阵时的指定的领域范围
    double k = 0.04;//权重系数
    Mat copy = src.clone();

    //进行Shi-Tomasi角点检测
    goodFeaturesToTrack(gray,
        corners,
        maxCornerNum,
        qualityLevel,
        minDistance,
        Mat(),
        blockSize,
        false,
        k);
    //输出文字信息
    cout << "此次检测到的角点数量为：" << corners.size() << endl;
    //绘制检测到的角点
    ;
    ; i < corners.size(); i++){
        circle(copy, corners[i], r, Scalar(,,), -, , );
    }
    imshow(WINDOW_NAME, copy);
}

int main(){
    src = imread();
    cvtColor(src, gray, COLOR_BGR2GRAY);

    namedWindow(WINDOW_NAME, WINDOW_AUTOSIZE);
    createTrackbar("最大角点数", WINDOW_NAME, &maxCornerNum, maxTrackbarNum, onGoodFeaturesToTrack);
    imshow(WINDOW_NAME, src);
    onGoodFeaturesToTrack(, );

    waitKey();
    ;
}

效果：