opencv 霍夫圆检测的应用

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。

#pragma once
#include
#include
#include 
#include 
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include

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 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

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;
}

运行效果如下