输入图像，一条直线，获取线上边沿点，增加预处理滤波 pu public static Point[] GetEdgePointsWithFilter(Mat image, Point lineP1, Point lineP2) { // Convert the input image to grayscale Mat gray = new Mat(); Cv2.CvtColor(image, gray, ColorConversionCodes.BGR2GRAY); // Apply a Gaussian blur filter to reduce noise in the image Mat blurred = new Mat(); Cv2.GaussianBlur(gray, blurred, new Size(3, 3), 0); // Apply a Canny edge detection filter to the blurred image Mat edges = new Mat(); Cv2.Canny(blurred, edges, 50, 200); // You can adjust the threshold values as needed // Find the intersection points between the edge image and the given line LineSegmentPoint[] lp= Cv2.HoughLinesP(edges, 1, Math.PI / 180, 50, 4, 4); // 将 LineSegmentPoint[] 转换为 Point[] 数组 List<Point> pointList = new List<Point>(); foreach (LineSegmentPoint lsp in lp) { pointList.Add(lsp.P1); pointList.Add(lsp.P2); } Point[] edgePoints = pointList.ToArray(); return edgePoints; } 基于opencvsharp4.6编写c#代码,生成新的函数

下面是基于您提供的代码，增加预处理滤波的 `GetEdgePointsWithFilter` 函数：

public static Point[] GetEdgePointsWithFilter(Mat image, Point lineP1, Point lineP2)
{
    // Convert the input image to grayscale
    Mat gray = new Mat();
    Cv2.CvtColor(image, gray, ColorConversionCodes.BGR2GRAY);

    // Apply a Gaussian blur filter to reduce noise in the image
    Mat blurred = new Mat();
    Cv2.GaussianBlur(gray, blurred, new Size(3, 3), 0);

    // Apply a Canny edge detection filter to the blurred image
    Mat edges = new Mat();
    Cv2.Canny(blurred, edges, 50, 200); // You can adjust the threshold values as needed

    // Find the intersection points between the edge image and the given line
    LineSegmentPoint[] lp = Cv2.HoughLinesP(edges, 1, Math.PI / 180, 50, 4, 4);

    // 将 LineSegmentPoint[] 转换为 Point[] 数组
    List<Point> pointList = new List<Point>();
    foreach (LineSegmentPoint lsp in lp)
    {
        pointList.Add(lsp.P1);
        pointList.Add(lsp.P2);
    }

    // Apply a median filter to the edge points to reduce noise
    Point[] edgePoints = pointList.ToArray();
    Cv2.MedianBlur(edgePoints, edgePoints, 3);

    return edgePoints;
}

在原有代码的基础上，我们添加了一行代码，使用 `Cv2.MedianBlur` 函数对 `edgePoints` 数组进行中值滤波，从而去除一些噪声点。您可以根据需要调整滤波器的大小（本例中使用大小为 3x3 的滤波器）。