opencv 检测图片中的圆形，输出圆的坐标和半径 c++ 代码

可以使用OpenCV中的Hough圆检测算法来检测图片中的圆形。以下是一个简单的C++代码示例，用于检测圆形并输出圆的坐标和半径：

#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <iostream>

using namespace cv;
using namespace std;

int main(int argc, char** argv)
{
    if (argc != 2)
    {
        cout << "Usage: " << argv[0] << " <image_path>" << endl;
        return -1;
    }

    // Read image
    Mat src = imread(argv[1], IMREAD_GRAYSCALE);
    if (src.empty())
    {
        cout << "Failed to read image" << endl;
        return -1;
    }

    // Apply Gaussian blur to reduce noise
    Mat blurred;
    GaussianBlur(src, blurred, Size(5, 5), 0);

    // Apply Hough circle detection
    vector<Vec3f> circles;
    HoughCircles(blurred, circles, HOUGH_GRADIENT, 1, src.rows / 8, 200, 100, 0, 0);

    // Draw detected circles
    Mat output = src.clone();
    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(output, center, radius, Scalar(0, 0, 255), 2, LINE_AA);
        cout << "Circle " << i << ": center=(" << center.x << "," << center.y << "), radius=" << radius << endl;
    }

    // Show output
    namedWindow("Output", WINDOW_NORMAL);
    imshow("Output", output);
    waitKey(0);

    return 0;
}

该代码首先读取指定路径的图像，然后对其进行高斯模糊以减少噪声。接下来，它使用Hough圆检测算法来检测图像中的圆形，将检测到的圆形绘制到输出图像上，并输出每个圆的坐标和半径。最后，它显示输出图像并等待用户按下任意键。