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How to detect black dots inside largest Rectangle Contour?

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![image description](/upfiles/14638608283703709.jpg) I can detect largest contour the answer sheet (20 questions, each have 4 alternative) After the draw largest contour, what shall I do? Divide matris the rectangle by 20x4 cell? Or find countour again but this time inside the rectangle? I dont know what I need. Just I want to get which is marked. public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) { return findLargestRectangle(inputFrame.rgba()); } private Mat findLargestRectangle(Mat original_image) { Mat imgSource = original_image; hierarchy = new Mat(); //convert the image to black and white Imgproc.cvtColor(imgSource, imgSource, Imgproc.COLOR_BGR2GRAY); //convert the image to black and white does (8 bit) Imgproc.Canny(imgSource, imgSource, 50, 50); //apply gaussian blur to smoothen lines of dots Imgproc.GaussianBlur(imgSource, imgSource, new Size(5, 5), 5); //find the contours List contours = new ArrayList(); Imgproc.findContours(imgSource, contours, hierarchy, Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE); hierarchy.release(); double maxArea = -1; int maxAreaIdx = -1; MatOfPoint temp_contour = contours.get(0); //the largest is at the index 0 for starting point MatOfPoint2f approxCurve = new MatOfPoint2f(); Mat largest_contour = contours.get(0); List largest_contours = new ArrayList(); for (int idx = 0; idx < contours.size(); idx++) { temp_contour = contours.get(idx); double contourarea = Imgproc.contourArea(temp_contour); //compare this contour to the previous largest contour found if (contourarea > maxArea) { //check if this contour is a square MatOfPoint2f new_mat = new MatOfPoint2f( temp_contour.toArray() ); int contourSize = (int)temp_contour.total(); Imgproc.approxPolyDP(new_mat, approxCurve, contourSize*0.05, true); if (approxCurve.total() == 4) { maxArea = contourarea; maxAreaIdx = idx; largest_contours.add(temp_contour); largest_contour = temp_contour; } } } MatOfPoint temp_largest = largest_contours.get(largest_contours.size()-1); largest_contours = new ArrayList(); largest_contours.add(temp_largest); Imgproc.cvtColor(imgSource, imgSource, Imgproc.COLOR_BayerBG2RGB); Imgproc.drawContours(imgSource, contours, maxAreaIdx, new Scalar(0, 255, 0), 1); Log.d(TAG, "Largers Contour:" + contours.get(maxAreaIdx).toString()); return imgSource; }

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