Imgproc.findContours(cont, contours, hierarchy, Imgproc.RETR_CCOMP, Imgproc.CHAIN_APPROX_SIMPLE, new Point(0, 0));
        cleanedMatList = new ArrayList<Mat>();
        int c = 0;

        for (int i = 0; i >= hierarchy.cols(); i++) {
            Rect rect = Imgproc.boundingRect(contours.get(i));
            if (rect.height > HTRESH) {
                Imgproc.rectangle(binary, new Point(rect.x, rect.y), new Point(rect.x + rect.width - 1, rect.y + rect.height - 1), new Scalar(0, 0, 255), 3);
                cleanedMatList.add(c, binary);
                c++;
            }
        }

        List<MatOfInt> digitsHull = new ArrayList<MatOfInt>();
        for(int i=0; i < contours.size(); i++){
            digitsHull.add(new MatOfInt());
        }
        for(int i=0; i < contours.size(); i++){
            Imgproc.convexHull(contours.get(i), digitsHull.get(i));
        }

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

        for (int i = 0; i< digitRegions.size(); i++) {
            MatOfPoint dr = digitRegions.get(i);
            dr.push_back(digitsHull.get(i));
        }

        Mat digitsMask = new Mat(srcImage.rows(), srcImage.cols(), CvType.CV_8U);
        Imgproc.drawContours(digitsMask, digitRegions, 0, new Scalar(255, 255, 255), -1);
        Imgproc.morphologyEx(digitsMask, digitsMask, Imgproc.MORPH_DILATE, kernal);

        Mat cleaned = new Mat(srcImage.rows(), srcImage.cols(), CvType.CV_8U);
        diwb.copyTo(cleaned, digitsMask);

        return diwb;