List of usage examples for org.opencv.core MatOfPoint put
public int put(int row, int col, double... data)
From source file:org.usfirst.frc.team2084.CMonster2016.vision.BallProcessor.java
License:Open Source License
@Override public void process(Mat cameraImage) { Imgproc.blur(cameraImage, hsvImage, new Size(20, 20)); Imgproc.cvtColor(hsvImage, hsvImage, Imgproc.COLOR_BGR2HSV); // Threshold image to find blue/green Core.inRange(hsvImage, thresholdMin, thresholdMax, thresholdImage); Imgproc.erode(thresholdImage, thresholdImage, KERNEL); Imgproc.dilate(thresholdImage, thresholdImage, KERNEL); thresholdImage.copyTo(contourImage); contours.clear();/*from w ww .j a va 2 s .c o m*/ hulls.clear(); Imgproc.findContours(contourImage, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); Imgproc.drawContours(cameraImage, contours, -1, CONTOUR_COLOR); for (int i = 0; i < contours.size(); i++) { MatOfPoint contour = contours.get(i); MatOfInt hullIndices = new MatOfInt(); MatOfPoint hull; hulls.add(hull = new MatOfPoint()); Imgproc.convexHull(contour, hullIndices); for (int c = 0; c < hullIndices.rows(); c++) { int v = (int) hullIndices.get(c, 0)[0]; hull.put(c, 0, contour.get(v, 0)); // System.out.println(v); } // System.out.println(hull.size()); } Imgproc.drawContours(cameraImage, hulls, -1, CONTOUR_COLOR); debugImage("Threshold Image", thresholdImage); // debugImage("Contour Image", contourImage); }
From source file:org.usfirst.frc.team2084.CMonster2016.vision.BoulderProcessor.java
License:Open Source License
private static MatOfPoint convexHull(MatOfPoint contour) { MatOfInt hullMatrix = new MatOfInt(); Imgproc.convexHull(contour, hullMatrix); // perform convex hull, gap // filler MatOfPoint hull = new MatOfPoint(); hull.create(hullMatrix.rows(), 1, CvType.CV_32SC2); for (int r = 0; r < hullMatrix.rows(); r++) { hull.put(r, 0, contour.get((int) hullMatrix.get(r, 0)[0], 0)); }//from ww w.j ava2 s .c om return hull; }
From source file:org.usfirst.frc.team2084.CMonster2016.vision.HighGoalProcessor.java
License:Open Source License
private MatOfPoint convexHull(MatOfPoint contour) { MatOfInt hullMatrix = new MatOfInt(); Imgproc.convexHull(contour, hullMatrix); // perform convex hull, gap // filler MatOfPoint hull = new MatOfPoint(); hull.create(hullMatrix.rows(), 1, CvType.CV_32SC2); for (int r = 0; r < hullMatrix.rows(); r++) { hull.put(r, 0, contour.get((int) hullMatrix.get(r, 0)[0], 0)); }/*from ww w . j a v a 2 s . co m*/ return hull; }
From source file:servlets.processScribble.java
/** * Processes requests for both HTTP <code>GET</code> and <code>POST</code> * methods.//from www.j a v a2s.com * * @param request servlet request * @param response servlet response * @throws ServletException if a servlet-specific error occurs * @throws IOException if an I/O error occurs */ protected void processRequest(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { response.setContentType("text/html;charset=UTF-8"); try (PrintWriter out = response.getWriter()) { String imageForTextRecognition = request.getParameter("imageForTextRecognition") + ".png"; Mat original = ImageUtils.loadImage(imageForTextRecognition, request); Mat image = original.clone(); Mat mask = Mat.zeros(image.rows() + 2, image.cols() + 2, CvType.CV_8UC1); String samplingPoints = request.getParameter("samplingPoints"); Gson gson = new Gson(); Point[] userPoints = gson.fromJson(samplingPoints, Point[].class); MatOfPoint points = new MatOfPoint(new Mat(userPoints.length, 1, CvType.CV_32SC2)); int cont = 0; for (Point point : userPoints) { int y = (int) point.y; int x = (int) point.x; int[] data = { x, y }; points.put(cont++, 0, data); } MatOfInt hull = new MatOfInt(); Imgproc.convexHull(points, hull); MatOfPoint mopOut = new MatOfPoint(); mopOut.create((int) hull.size().height, 1, CvType.CV_32SC2); int totalPoints = (int) hull.size().height; Point[] convexHullPoints = new Point[totalPoints]; ArrayList<Point> seeds = new ArrayList<>(); for (int i = 0; i < totalPoints; i++) { int index = (int) hull.get(i, 0)[0]; double[] point = new double[] { points.get(index, 0)[0], points.get(index, 0)[1] }; mopOut.put(i, 0, point); convexHullPoints[i] = new Point(point[0], point[1]); seeds.add(new Point(point[0], point[1])); } MatOfPoint mop = new MatOfPoint(); mop.fromArray(convexHullPoints); ArrayList<MatOfPoint> arrayList = new ArrayList<MatOfPoint>(); arrayList.add(mop); Random random = new Random(); int b = random.nextInt(256); int g = random.nextInt(256); int r = random.nextInt(256); Scalar newVal = new Scalar(b, g, r); FloodFillFacade floodFillFacade = new FloodFillFacade(); for (int i = 0; i < seeds.size(); i++) { Point seed = seeds.get(i); image = floodFillFacade.fill(image, mask, (int) seed.x, (int) seed.y, newVal); } Imgproc.drawContours(image, arrayList, 0, newVal, -1); Imgproc.resize(mask, mask, image.size()); Scalar meanColor = Core.mean(original, mask); // Highgui.imwrite("C:\\Users\\Gonzalo\\Documents\\NetBeansProjects\\iVoLVER\\uploads\\the_convexHull.png", image); ImageUtils.saveImage(image, imageForTextRecognition + "_the_convexHull.png", request); newVal = new Scalar(255, 255, 0); floodFillFacade.setMasked(false); System.out.println("Last one:"); floodFillFacade.fill(image, mask, 211, 194, newVal); Core.circle(image, new Point(211, 194), 5, new Scalar(0, 0, 0), -1); ImageUtils.saveImage(image, imageForTextRecognition + "_final.png", request); // Highgui.imwrite("C:\\Users\\Gonzalo\\Documents\\NetBeansProjects\\iVoLVER\\uploads\\final.png", image); Mat element = new Mat(3, 3, CvType.CV_8U, new Scalar(1)); Imgproc.morphologyEx(mask, mask, Imgproc.MORPH_CLOSE, element, new Point(-1, -1), 3); Imgproc.resize(mask, mask, image.size()); // ImageUtils.saveImage(mask, "final_mask_dilated.png", request); // Highgui.imwrite("C:\\Users\\Gonzalo\\Documents\\NetBeansProjects\\iVoLVER\\uploads\\final_mask_dilated.png", mask); List<MatOfPoint> contours = new ArrayList<MatOfPoint>(); Imgproc.findContours(mask.clone(), contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE); double contourArea = 0; String path = ""; MatOfPoint biggestContour = contours.get(0); // getting the biggest contour contourArea = Imgproc.contourArea(biggestContour); if (contours.size() > 1) { biggestContour = Collections.max(contours, new ContourComparator()); // getting the biggest contour in case there are more than one } Point[] biggestContourPoints = biggestContour.toArray(); path = "M " + (int) biggestContourPoints[0].x + " " + (int) biggestContourPoints[0].y + " "; for (int i = 1; i < biggestContourPoints.length; ++i) { Point v = biggestContourPoints[i]; path += "L " + (int) v.x + " " + (int) v.y + " "; } path += "Z"; System.out.println("path:"); System.out.println(path); Rect computedSearchWindow = Imgproc.boundingRect(biggestContour); Point massCenter = computedSearchWindow.tl(); FindingResponse findingResponse = new FindingResponse(path, meanColor, massCenter, -1, contourArea); String jsonResponse = gson.toJson(findingResponse, FindingResponse.class); out.println(jsonResponse); // String jsonResponse = gson.toJson(path); // out.println(jsonResponse); } }