Opencvsharp缺陷检测

Opencvsharp缺陷检测可以通过以下步骤实现：

1.读取图像并将其转换为灰度图像

Mat src = Cv2.ImRead("image.jpg", ImreadModes.Grayscale);

2.对图像进行高斯模糊处理，以减少噪声的影响

Mat blurred = new Mat();
Cv2.GaussianBlur(src, blurred, new Size(3, 3), 0);

3.使用Laplacian算子检测图像中的边缘

Mat laplacian = new Mat();
Cv2.Laplacian(blurred, laplacian, MatType.CV_8U, 3, 1, 0);

4.使用二值化将图像转换为黑白图像

Mat binary = new Mat();
Cv2.Threshold(laplacian, binary, 50, 255, ThresholdTypes.Binary);

5.使用形态学操作来填充图像中的空洞和断裂

Mat kernel = Cv2.GetStructuringElement(MorphShapes.Rect, new Size(3, 3));
Mat closed = new Mat();
Cv2.MorphologyEx(binary, closed, MorphTypes.Close, kernel);

6.使用轮廓检测来检测图像中的缺陷

Mat contoursImage = src.Clone();
Point[][] contours;
HierarchyIndex[] hierarchy;
Cv2.FindContours(closed, out contours, out hierarchy, RetrievalModes.Tree, ContourApproximationModes.ApproxSimple);
for (int i = 0; i < contours.Length; i++)
{
    double area = Cv2.ContourArea(contours[i]);
    if (area < 100) continue;
    Rect rect = Cv2.BoundingRect(contours[i]);
    Cv2.Rectangle(contoursImage, rect, Scalar.Red, 2);
}