OpenCvSharp通过 CircularCaliper找圆心，Caliper个数，宽度、长度、中心圆可设定请编写函数

以下是一个示例函数，它使用OpenCvSharp中的CircularCaliper功能来查找圆心、Caliper数量、宽度、长度和中心圆：

using OpenCvSharp;

public static void FindCircleProperties(Mat image, out Point2f center, out int caliperCount, out float caliperWidth, out float caliperLength, out float circleRadius)
{
    // Convert the image to grayscale
    Mat gray = new Mat();
    Cv2.CvtColor(image, gray, ColorConversionCodes.BGR2GRAY);

    // Threshold the image to create a binary image
    Mat thresholded = new Mat();
    Cv2.Threshold(gray, thresholded, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);

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

    // Find the contour with the largest area
    double maxArea = double.MinValue;
    int maxAreaIndex = -1;
    for (int i = 0; i < contours.Length; i++)
    {
        double area = Cv2.ContourArea(contours[i]);
        if (area > maxArea)
        {
            maxArea = area;
            maxAreaIndex = i;
        }
    }

    // Find the circular calipers of the contour
    Point2f[] caliperPoints;
    Cv2.MinEnclosingCircle(contours[maxAreaIndex], out center, out circleRadius);
    caliperCount = 36; // Set the number of calipers to 36
    caliperWidth = 10.0f; // Set the caliper width to 10 pixels
    caliperLength = 50.0f; // Set the caliper length to 50 pixels
    Cv2.CircularCalibration(contours[maxAreaIndex], center, (int)circleRadius, caliperCount, caliperWidth, caliperLength, out caliperPoints);

    // Draw the calipers on the image
    foreach (Point2f point in caliperPoints)
    {
        Cv2.Circle(image, (int)point.X, (int)point.Y, 3, Scalar.Red, -1);
    }

    // Draw the center circle on the image
    Cv2.Circle(image, (int)center.X, (int)center.Y, (int)circleRadius, Scalar.Green, 2);
}

此函数接受一个Mat对象（即OpenCvSharp中的图像对象）作为输入，并返回圆心、Caliper数量、宽度、长度和中心圆的信息。它首先将图像转换为灰度图像，然后对其进行二值化处理。接下来，它查找图像中的轮廓，并找到面积最大的轮廓。然后，它使用CircularCaliper函数查找轮廓的Caliper，使用MinEnclosingCircle函数找到中心圆，并在图像上绘制Caliper和中心圆。