如何检测条带图像上的补丁？

Question

我正在检测带状图像上的补丁方块

我觉得界限不明确

我怎样才能清楚地得到这个补丁

请帮帮我

这是我的代码和图片

谢谢

代码

Bitmap bmp = BitmapFactory.decodeResource(getResources(), R.drawable.src2);
//        bmp = changeBitmapContrastBrightness(bmp, (float)1.5, 0);

        Mat src = new Mat();
        Utils.bitmapToMat(bmp, src);

        // Creating an empty matrix to store the result
        Mat dst = new Mat();

        // Creating kernel matrix
        Mat kernel = Mat.ones(1,1, CvType.CV_32F);

        for(int i = 0; i<kernel.rows(); i++) {
            for(int j = 0; j<kernel.cols(); j++) {
                double[] m = kernel.get(i, j);

                for(int k = 1; k<m.length; k++) {
                    m[k] = m[k]/(2 * 2);
                }
                kernel.put(i,j, m);
            }
        }
        Imgproc.filter2D(src, dst, -1, kernel);

        Imgproc.cvtColor(dst, dst, Imgproc.COLOR_BGR2GRAY);

        // Preparing the kernel matrix object
        Mat kernel1 = Imgproc.getStructuringElement(Imgproc.MORPH_RECT,
                new  Size((2*2) + 1, (2*2)+1));
        Imgproc.dilate(dst, dst, kernel1);

        Imgproc.threshold(dst, dst, 160, 255, Imgproc.THRESH_BINARY);

        // Creating kernel matrix
        Mat kernel2 = Mat.ones(5,5, CvType.CV_32F);
        Imgproc.morphologyEx(dst, dst, Imgproc.MORPH_OPEN, kernel2);
}

private static List<MatOfPoint> contourFind(Mat img){
        List<MatOfPoint> contours = new ArrayList<>();
        Imgproc.findContours(img, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);

        List<MatOfPoint> squares = new ArrayList<>();

        for(MatOfPoint cnt: contours){
            MatOfPoint2f curve = new MatOfPoint2f(cnt.toArray());
            MatOfPoint2f approxCurve = new MatOfPoint2f();
            Imgproc.approxPolyDP(curve, approxCurve, 0.02 * Imgproc.arcLength(curve, true), true);

            int numberVertices = (int) approxCurve.total();

            double contourArea = Imgproc.contourArea(cnt);

            if (Math.abs(contourArea) < img.size().area() / 10){
                squares.add(cnt);
            }
        }

        return squares;
    }

原图

enter image description here

处理图像后

enter image description here

Answer 1

您可能想要了解一些分割算法并根据每个类别的样本图像训练您的模型。有一些算法，例如用于经典机器学习的 Watershed 算法。或者如果可以使用深度学习和神经网络的话，看看语义分割。

如何检测条带图像上的补丁？

How can I detect patch at strip image?

android

opencv

image

object-detection

opencv4android

代码

原图

处理图像后