OpenCvSharp通过 CircularCaliper找圆心，请编写函数

以下是一个简单的函数，可以使用OpenCvSharp中的CircularCaliper找到圆心：

using OpenCvSharp;

public static Point2f FindCircleCenter(Mat image, int threshold)
{
    // Convert the image to grayscale
    Mat grayImage = new Mat();
    Cv2.CvtColor(image, grayImage, ColorConversionCodes.BGR2GRAY);

    // Apply Gaussian blur to remove noise
    Cv2.GaussianBlur(grayImage, grayImage, new Size(5, 5), 0);

    // Apply Canny edge detection
    Mat edges = new Mat();
    Cv2.Canny(grayImage, edges, threshold, threshold * 2);

    // Find contours in the image
    Point[][] contours;
    HierarchyIndex[] hierarchy;
    Cv2.FindContours(edges, out contours, out hierarchy, RetrievalModes.External, ContourApproximationModes.ApproxSimple);

    // Iterate over the contours and find the circular contour with the largest area
    double maxArea = 0;
    Point2f center = new Point2f();
    foreach (Point[] contour in contours)
    {
        // Find the circularity of the contour using CircularCaliper
        float circularity = Cv2.MinEnclosingCircle(contour).Radius * 2 * Cv2.ArcLength(contour, true) / Cv2.ContourArea(contour);

        // If the contour is circular and has a larger area than the previous max area, update the max area and center
        if (circularity > 0.9 && Cv2.ContourArea(contour) > maxArea)
        {
            maxArea = Cv2.ContourArea(contour);
            center = Cv2.MinEnclosingCircle(contour).Center;
        }
    }

    return center;
}

这个函数接受一个OpenCvSharp的Mat对象作为输入图像，以及一个阈值来控制边缘检测的敏感度。它将图像转换为灰度图像，应用高斯模糊以去除噪声，应用Canny边缘检测，找到图像中的轮廓，然后迭代每个轮廓，使用CircularCaliper计算轮廓的圆度，并找到圆度最高的圆的圆心作为输出。