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omr in java or c++ ?

image description

Please help me to detect the mark of this paper? anyone please

omr in java or c++ ?

image description

Please help me to ~~detect the mark of~~ improve this ~~paper?~~ code for wrapping? anyone please

This is my code for wrapping this image

Mat img = Imgcodecs.imread(getImg().getPath()); if (img.empty()) { Log.e("FragmentMain", "Empty Image"); } Mat gray = new Mat(); Mat blurred = new Mat(); Mat edged = new Mat(); Imgproc.cvtColor(img, gray, Imgproc.COLOR_BGR2GRAY); Imgproc.GaussianBlur(gray, blurred, new Size(5, 5), 0); Imgproc.Canny(blurred, edged, 75, 200);

    Mat clone = edged.clone();
    Mat hierarchy= new Mat();
    List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
    Imgproc.findContours(clone, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
    List<Point> curves = new ArrayList<>();
    hierarchy.release();
    Mat corners = new Mat(4, 1,

omr in java or c++ ?

image description

Please help me to improve this code for wrapping? anyone please

This is my code for wrapping this image .

Mat gray = new Mat(); Mat blurred = new Mat(); Mat edged = new Mat(); Mat img = Imgcodecs.imread(getImg().getPath()); if (img.empty()) { Log.e("FragmentMain", "Empty Image"); } Mat gray = new Mat(); Mat blurred = new Mat(); Mat edged = new Mat(); Imgproc.cvtColor(img, gray, Imgproc.COLOR_BGR2GRAY); Imgproc.GaussianBlur(gray, blurred, new Size(5, 5), 0); Imgproc.Canny(blurred, edged, 75, 200); 200); Mat clone = edged.clone(); Mat hierarchy= new Mat(); List<MatOfPoint> contours = new ArrayList<MatOfPoint>(); Imgproc.findContours(clone, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); List<Point> curves = new ArrayList<>(); hierarchy.release(); Mat corners = new Mat(4, 1, 1, CvType.CV_32FC2); for (int idx = 0; idx < contours.size(); idx++) { MatOfPoint contour = contours.get(idx); MatOfPoint2f contour_points = new MatOfPoint2f(contour.toArray()); RotatedRect minRect = Imgproc.minAreaRect(contour_points); Point[] rect_points = new Point[4]; minRect.points(rect_points); if (minRect.size.height > img.width() / 2) { List<Point> srcPoints = new ArrayList<Point>(4); srcPoints.add(rect_points[1]); srcPoints.add(rect_points[2]); srcPoints.add(rect_points[3]); srcPoints.add(rect_points[0]); corners = Converters.vector_Point_to_Mat( srcPoints, CvType.CV_32F); } } Mat results = new Mat(); List<Point> dstPoints = new ArrayList<Point>(4); dstPoints.add(new Point(0, 0)); dstPoints.add(new Point(1000, 0)); dstPoints.add(new Point(1000, 1920)); dstPoints.add(new Point(0, 1920)); Mat quad_pts = Converters.vector_Point_to_Mat( dstPoints, CvType.CV_32F); Mat transmtx = Imgproc.getPerspectiveTransform(corners, quad_pts); Imgproc.warpPerspective(img, results, transmtx, new Size(1000, 1920)); Imgcodecs.imwrite("results.png", results); showImage(results);