opencv霍夫圆检测原理（opencv霍夫变换检测圆）

本程序是一个最简单的霍夫圆检测函数的使用案例，刚刚学会的用法，发一下，可以参考，参数啥的可根据图片调节。

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 #pragma once #include<quickopencv.h> #include<vector> #include <stdio.h> #include <iostream> #include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include<opencv2/opencv.hpp> using namespace cv; using namespace std; class QuickDemo { public: void ColorSpace_Demo(Mat &image); }; void QuickDemo::ColorSpace_Demo(Mat &image) { Mat gray, hsv, img3; cvtColor(image, gray, COLOR_BGR2GRAY); cvtColor(image, hsv, COLOR_BGR2HSV); //H取值0-180表示颜色 S取值0-255表示饱和度 V0-255表示亮度 namedWindow("huidu", WINDOW_FREERATIO); imshow("huidu", gray); GaussianBlur(gray, gray, Size(9, 9), 0, 0);//高斯模糊 medianBlur(gray, gray, 3);//中值滤波 vector<Vec3f> circles; HoughCircles(gray, circles, HOUGH_GRADIENT, 1, 1, 100,100, 0,00 ); Canny(gray, img3, 50, 100);//边缘检测 for (size_t i = 0; i < circles.size(); i++) { Point center(cvRound(circles[i][0]), cvRound(circles[i][1])); int radius = cvRound(circles[i][2]); // circle center circle(gray, center, 3, Scalar(60, 30, 60), -1, 5, 0); // circle outline circle(gray, center, radius, Scalar(0, 60, 60), 3, 3, 0); } namedWindow("Hough Circle Transform Demo", WINDOW_FREERATIO); imshow("Hough Circle Transform Demo",gray); }

主函数调用

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 int main(int, char **argv) { Mat src = imread("D:/YUAN.jpg");//只能读八位或者小数图像，通道顺序B G R 取值空间为0-255 if (src.empty()) { cout<<"cant read"; return -1; } QuickDemo qd; qd.ColorSpace_Demo(src); waitKey(0); destroyAllWindows; return 0; }