List of usage examples for org.opencv.imgproc Imgproc erode
public static void erode(Mat src, Mat dst, Mat kernel)
From source file:MainEroding.java
public static void main(String[] args) { try {/*from w w w . ja va2s . co m*/ int erosion_size = 2; //int dilation_size = 5; System.loadLibrary(Core.NATIVE_LIBRARY_NAME); Mat source = Highgui.imread("D://teste.png", Highgui.CV_LOAD_IMAGE_COLOR); Mat destination = new Mat(source.rows(), source.cols(), source.type()); destination = source; Mat element = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(2 * erosion_size + 1, 2 * erosion_size + 1)); Imgproc.erode(source, destination, element); Highgui.imwrite("D://Erosion.jpg", destination); } catch (Exception e) { System.out.println("Exception: " + e.getMessage()); } }
From source file:Questao2.java
void minimo() { System.loadLibrary(Core.NATIVE_LIBRARY_NAME); String url = escolherUrl();//from w w w . java 2 s. c om /** * Transforma imagem em matriz para facilitar manipulacao */ Mat img = Imgcodecs.imread(url); /** * Cria matriz de destino */ Mat dst = new Mat(); /** * Cria matriz com o valor 1 em todos os pixels de * tamanho definido pelo usuario */ System.out.println("Digite as dimenses da mscara: "); System.out.print("X: "); int mx = in.nextInt(); System.out.print("Y: "); int my = in.nextInt(); Mat one = Mat.ones(mx, my, CvType.CV_32F); /** * Aplica o filtro minimo * erode(imagem original, imagem destino, matriz de mascara) */ Imgproc.erode(img, dst, one); /** * Salva resultado em minimo.jpg */ Imgcodecs.imwrite("minimo.jpg", dst); showResult("minimo.jpg"); }
From source file:br.cefetmg.lsi.opencv.multipleObjectTracking.processing.MultipleObjectTracking.java
License:Open Source License
private void morphOps(Mat thresh) { //create structuring element that will be used to "dilate" and "erode" image. //the element chosen here is a 3px by 3px rectangle Mat erodeElement = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(3, 3)); //dilate with larger element so make sure object is nicely visible Mat dilateElement = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(8, 8)); Imgproc.erode(thresh, thresh, erodeElement); Imgproc.erode(thresh, thresh, erodeElement); Imgproc.dilate(thresh, thresh, dilateElement); Imgproc.dilate(thresh, thresh, dilateElement); }
From source file:by.zuyeu.deyestracker.core.detection.task.DetectPupilsTask.java
@Override public Point call() throws Exception { long startTime = System.nanoTime(); final Mat imageHSV = new Mat(frame.size(), Core.DEPTH_MASK_8U); Imgproc.cvtColor(frame, imageHSV, Imgproc.COLOR_BGR2GRAY); Imgproc.erode(imageHSV, imageHSV, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, STRUCT_ELEMENT_SIZE)); Imgproc.dilate(imageHSV, imageHSV, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, STRUCT_ELEMENT_SIZE)); Imgproc.GaussianBlur(imageHSV, imageHSV, STRUCT_ELEMENT_SIZE, GAUS_BLUR_DELTA); Core.MinMaxLocResult mmG = Core.minMaxLoc(imageHSV); long endTime = System.nanoTime(); LOG.debug("pupil detected = {}", mmG.minLoc); LOG.debug("detection time: {} ms", (float) (endTime - startTime) / 1000000); return mmG.minLoc; }
From source file:Clases.Segmentador.java
public Mat eriosionarImg(Mat umbralizada) { Mat dste = umbralizada.clone();/*ww w . j a v a2 s .c om*/ int erosion_size = 5; Size s = new Size(2 * erosion_size + 1, 2 * erosion_size + 1); Point p = new Point(erosion_size, erosion_size); Mat element = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, s, p); Imgproc.erode(umbralizada, dste, element); return dste; }
From source file:classes.FloodFiller.java
private void fillFrom(Point seed, int lo, int up, Scalar backgroundColor, Scalar contourFillingColor) { Mat object = ObjectGenerator.extract(image, seed.x, seed.y, 10, 10); this.meanColor = Core.mean(object); Rect ccomp = new Rect(); Mat mask = Mat.zeros(image.rows() + 2, image.cols() + 2, CvType.CV_8UC1); int connectivity = 4; int newMaskVal = 255; int ffillMode = 1; int flags = connectivity + (newMaskVal << 8) + (ffillMode == 1 ? Imgproc.FLOODFILL_FIXED_RANGE : 0); Scalar newVal = new Scalar(0.299, 0.587, 0.114); Imgproc.threshold(mask, mask, 1, 128, Imgproc.THRESH_BINARY); filledArea = Imgproc.floodFill(image.clone(), mask, seed, newVal, ccomp, new Scalar(lo, lo, lo), new Scalar(up, up, up), flags); // Highgui.imwrite("mask.png", mask); ImageUtils.saveImage(mask, "mask.png", request); morphologicalImage = new Mat(image.size(), CvType.CV_8UC3); Mat element = new Mat(3, 3, CvType.CV_8U, new Scalar(1)); ArrayList<Mat> mask3 = new ArrayList<Mat>(); mask3.add(mask);//from ww w . j a va 2 s. co m mask3.add(mask); mask3.add(mask); Core.merge(mask3, mask); // Applying morphological filters Imgproc.erode(mask, morphologicalImage, element); Imgproc.morphologyEx(morphologicalImage, morphologicalImage, Imgproc.MORPH_CLOSE, element, new Point(-1, -1), 9); Imgproc.morphologyEx(morphologicalImage, morphologicalImage, Imgproc.MORPH_OPEN, element, new Point(-1, -1), 2); Imgproc.resize(morphologicalImage, morphologicalImage, image.size()); // Highgui.imwrite("morphologicalImage.png", morphologicalImage); ImageUtils.saveImage(morphologicalImage, "morphologicalImage.png", request); List<MatOfPoint> contours = new ArrayList<MatOfPoint>(); Core.split(mask, mask3); Mat binarymorphologicalImage = mask3.get(0); Imgproc.findContours(binarymorphologicalImage.clone(), contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE); contoursImage = new Mat(image.size(), CvType.CV_8UC3, backgroundColor); int thickness = -1; // Thicknes should be lower than zero in order to drawn the filled contours Imgproc.drawContours(contoursImage, contours, -1, contourFillingColor, thickness); // Drawing all the contours found // Highgui.imwrite("allContoursImage.png", contoursImage); ImageUtils.saveImage(contoursImage, "allContoursImage.png", request); if (contours.size() > 1) { int minContourWith = 20; int minContourHeight = 20; int maxContourWith = 6400 / 2; int maxContourHeight = 4800 / 2; contours = filterContours(contours, minContourWith, minContourHeight, maxContourWith, maxContourHeight); } if (contours.size() > 0) { 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[] points = biggestContour.toArray(); path = "M " + (int) points[0].x + " " + (int) points[0].y + " "; for (int i = 1; i < points.length; ++i) { Point v = points[i]; path += "L " + (int) v.x + " " + (int) v.y + " "; } path += "Z"; biggestContourImage = new Mat(image.size(), CvType.CV_8UC3, backgroundColor); Imgproc.drawContours(biggestContourImage, contours, 0, contourFillingColor, thickness); // Highgui.imwrite("biggestContourImage.png", biggestContourImage); ImageUtils.saveImage(biggestContourImage, "biggestContourImage.png", request); Mat maskForColorExtraction = biggestContourImage.clone(); if (isWhite(backgroundColor)) { Imgproc.dilate(maskForColorExtraction, maskForColorExtraction, new Mat(), new Point(-1, -1), 3); } else { Imgproc.erode(maskForColorExtraction, maskForColorExtraction, new Mat(), new Point(-1, -1), 3); } // Highgui.imwrite("maskForColorExtraction.png", maskForColorExtraction); ImageUtils.saveImage(maskForColorExtraction, "maskForColorExtraction.png", request); Mat extractedColor = new Mat(); if (isBlack(backgroundColor) && isWhite(contourFillingColor)) { Core.bitwise_and(maskForColorExtraction, image, extractedColor); } else { Core.bitwise_or(maskForColorExtraction, image, extractedColor); } // Highgui.imwrite("extractedColor.png", extractedColor); ImageUtils.saveImage(extractedColor, "extractedColor.png", request); computedSearchWindow = Imgproc.boundingRect(biggestContour); topLeftCorner = computedSearchWindow.tl(); Rect croppingRect = new Rect(computedSearchWindow.x, computedSearchWindow.y, computedSearchWindow.width - 1, computedSearchWindow.height - 1); Mat imageForTextRecognition = new Mat(extractedColor.clone(), croppingRect); // Highgui.imwrite(outImageName, imageForTextRecognition); ImageUtils.saveImage(imageForTextRecognition, outImageName, request); // // // Mat data = new Mat(imageForTextRecognition.size(), CvType.CV_8UC3, backgroundColor); // imageForTextRecognition.copyTo(data); // data.convertTo(data, CvType.CV_8UC3); // // // The meanColor variable represents the color in the GBR space, the following line transforms this to the RGB color space, which // // is assumed in the prepareImage method of the TextRecognitionPreparer class // Scalar userColor = new Scalar(meanColor.val[2], meanColor.val[1], meanColor.val[0]); // // ArrayList<String> recognizableImageNames = TextRecognitionPreparer.generateRecognizableImagesNames(data, backgroundColor, userColor); // for (String imageName : recognizableImageNames) { // // try { // // First recognition step // String recognizedText = TextRecognizer.recognize(imageName, true).trim(); // if (recognizedText != null && !recognizedText.isEmpty()) { // recognizedStrings.add(recognizedText); // } // // Second recognition step // recognizedText = TextRecognizer.recognize(imageName, false).trim(); // if (recognizedText != null && !recognizedText.isEmpty()) { // recognizedStrings.add(recognizedText); // } // // } catch (Exception e) { // } // } // //// ArrayList<BufferedImage> recognizableBufferedImages = TextRecognitionPreparer.generateRecognizableBufferedImages(data, backgroundColor, userColor); //// for (BufferedImage bufferedImage : recognizableBufferedImages) { //// try { //// // First recognition step //// String recognizedText = TextRecognizer.recognize(bufferedImage, true).trim(); //// if (recognizedText != null && !recognizedText.isEmpty()) { //// recognizedStrings.add(recognizedText); //// } //// // Second recognition step //// recognizedText = TextRecognizer.recognize(bufferedImage, false).trim(); //// if (recognizedText != null && !recognizedText.isEmpty()) { //// recognizedStrings.add(recognizedText); //// } //// //// } catch (Exception e) { //// } //// } // // // // compute all moments Moments mom = Imgproc.moments(biggestContour); massCenter = new Point(mom.get_m10() / mom.get_m00(), mom.get_m01() / mom.get_m00()); // draw black dot Core.circle(contoursImage, massCenter, 4, contourFillingColor, 8); } }
From source file:classes.ObjectFinder.java
private void applyMorphologicalFilters() { Mat element = new Mat(3, 3, CvType.CV_8U, new Scalar(1)); Imgproc.erode(thresholdedBackprojection, morphologicalImage, element); Imgproc.morphologyEx(morphologicalImage, morphologicalImage, Imgproc.MORPH_CLOSE, element, new Point(-1, -1), 2); Imgproc.morphologyEx(morphologicalImage, morphologicalImage, Imgproc.MORPH_OPEN, element, new Point(-1, -1), 2);/*from www . j a v a2s. c om*/ }
From source file:com.astrocytes.core.operationsengine.CoreOperations.java
License:Open Source License
/** * Applies morphological erosion.//from w ww . ja v a 2 s .c om * * @param src - source image. * @param radius - radius of structure element. * @return eroded image. */ public static Mat erode(Mat src, int radius) { Mat dest = new Mat(); int kernelSize = radius * 2 + 1; Mat kernel = getStructuringElement(Imgproc.CV_SHAPE_ELLIPSE, new Size(kernelSize, kernelSize), new Point(radius, radius)); Imgproc.erode(src, dest, kernel); return dest; }
From source file:com.davidmiguel.gobees.monitoring.algorithm.processors.Morphology.java
License:Open Source License
@Override public Mat process(@NonNull Mat frame) { if (frame.empty()) { Log.e("Invalid input frame."); return null; }//from w w w . ja va2 s. com Mat tmp = frame.clone(); // Step 1: erode to remove legs Imgproc.erode(tmp, tmp, KERNEL3); // Step 2: dilate to join bodies and heads Imgproc.dilate(tmp, tmp, KERNEL2); for (int i = 0; i < REPETITIONS_DILATE; i++) { Imgproc.dilate(tmp, tmp, kernelDilate); } // Step 3: erode to recover original size Imgproc.erode(tmp, tmp, KERNEL1); for (int i = 0; i < REPETITIONS_ERODE; i++) { Imgproc.erode(tmp, tmp, kernelErode); } return tmp; }
From source file:com.example.root.dipproj.MainActivity.java
@Override protected void onActivityResult(int requestCode, int resultCode, Intent data) { super.onActivityResult(requestCode, resultCode, data); if (resultCode == RESULT_OK) { if (requestCode == 1) { File f = new File(Environment.getExternalStorageDirectory().toString()); for (File temp : f.listFiles()) { if (temp.getName().equals("temp.jpg")) { f = temp;//from w ww.j a v a 2 s . c o m break; } } try { Bitmap bitmap; BitmapFactory.Options bitmapOptions = new BitmapFactory.Options(); bitmap = BitmapFactory.decodeFile(f.getAbsolutePath(), bitmapOptions); viewImage.setImageBitmap(bitmap); String path = android.os.Environment.getExternalStorageDirectory() + File.separator + "Phoenix" + File.separator + "default"; f.delete(); OutputStream outFile = null; File file = new File(path, String.valueOf(System.currentTimeMillis()) + ".jpg"); try { outFile = new FileOutputStream(file); bitmap.compress(Bitmap.CompressFormat.JPEG, 85, outFile); outFile.flush(); outFile.close(); } catch (FileNotFoundException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } catch (Exception e) { e.printStackTrace(); } } catch (Exception e) { e.printStackTrace(); } } else if (requestCode == 2) { Uri selectedImage = data.getData(); String[] filePath = { MediaStore.Images.Media.DATA }; Cursor c = getContentResolver().query(selectedImage, filePath, null, null, null); c.moveToFirst(); int columnIndex = c.getColumnIndex(filePath[0]); String picturePath = c.getString(columnIndex); c.close(); Bitmap thumbnail = (BitmapFactory.decodeFile(picturePath)); Log.w("path of image", picturePath + ""); Mat imgMat = new Mat(); Mat imgMat2 = new Mat(); Mat imgMat3 = new Mat(); Utils.bitmapToMat(thumbnail, imgMat); Imgproc.cvtColor(imgMat, imgMat, Imgproc.COLOR_RGB2GRAY); org.opencv.core.Size s = new Size(3, 3); Imgproc.createCLAHE(); Imgproc.GaussianBlur(imgMat, imgMat, s, 2); Imgproc.erode(imgMat, imgMat2, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(2, 2))); Imgproc.dilate(imgMat2, imgMat3, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(2, 2))); Imgproc.Sobel(imgMat, imgMat, CvType.CV_8UC1, 1, 0); Core.absdiff(imgMat, imgMat3, imgMat); Imgproc.threshold(imgMat, imgMat, 123, 255, Imgproc.THRESH_OTSU); Utils.matToBitmap(imgMat, thumbnail); viewImage.setImageBitmap(thumbnail); saveBitmaptoSDCard(thumbnail); } } }