opencv3/C++角点检测goodFeaturesToTrack()

goodFeaturesToTrack()角点检测参数说明：

void goodFeaturesToTrack( InputArray image, //输入单通道8位或32位浮点型图像。OutputArray corners,//输出检测到的角点int maxCorners, //要返回的最大角点数double qualityLevel, //图像角点的品质因子double minDistance,//角点之间的最小距离（删除该范围内更强的角点）InputArray mask = noArray(), //感兴趣区int blockSize = 3,//计算协方差矩阵时的窗口大小bool useHarrisDetector = false, //是否使用Harris角点检测（默认计算shi-tomasi角点）double k = 0.04 //Harris角点检测需要的k值);

角点检测示例：

#include<opencv2/opencv.hpp>using namespace cv;void trackBar(int, void*);int thre = 0;Mat src, dst;int main(){    src = imread("E:/image/bdb.jpg");    if (src.empty())    {        printf("can not load image \n");        return -1;    }    namedWindow("input");    namedWindow("output");    imshow("input", src);    cvtColor(src, dst, COLOR_BGR2GRAY);    destroyWindow("output");    namedWindow("output");    createTrackbar("threshold:","output",&thre,250,trackBar);    waitKey();    return 0;}void trackBar(int, void*){    std::vector<Point2f> corners;    goodFeaturesToTrack(dst,corners, thre, 0.01, 10, Mat());    for (int i = 0; i < corners.size(); i++)    {        circle(src, corners[i], 2, Scalar(0,255,255), 2);    }       imshow("output", src);}