Example usage for org.opencv.imgproc Imgproc blur

Introduction

In this page you can find the example usage for org.opencv.imgproc Imgproc blur.

Prototype

public static void blur(Mat src, Mat dst, Size ksize) 

Source Link

Usage

From source file:Questao2.java

void media() {
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    String url = escolherUrl();/*ww  w.  j  a  v  a  2s.  c  o m*/

    /**
     * Transforma imagem em matriz para facilitar manipulacao
     */
    Mat img = Imgcodecs.imread(url);
    /**
     * Cria matriz de destino
     */
    Mat dst = new Mat();
    /**
     * Aplicacao do filtro da media
     * blur(matriz original, matriz destino, tamanho da mascara)
     */

    System.out.println("Escolha as dimenses da mscara: ");
    System.out.print("X: ");
    int mx = in.nextInt();
    System.out.print("Y: ");
    int my = in.nextInt();

    Imgproc.blur(img, dst, new Size(mx, my));
    /**
     * Salva o resultado em media.jpg
     */
    Imgcodecs.imwrite("media.jpg", dst);
    showResult("media.jpg");
}

---

From source file:android.google.com.basiccamera.imageprocessing.CannyEdgeDetector.java

License:BSD License

protected void runTask() {
    Log.i(TAG, "Starting heavy image processing task");
    while (running) {
        Long begin, end;/*from  w w w .  ja v  a2  s . co m*/
        //begin = System.currentTimeMillis();

        // requests picture and blocks till it receives one
        mTaskManager.requestPreviewFrame();
        //end = System.currentTimeMillis();
        //Log.i(TAG, "Process took " + String.valueOf(end - begin) + " ms");
        byte[] image = getImage();
        if (image == null) {
            Log.w(TAG, "Received null as picture");
        }

        // do Canny edge detection
        Mat img = new Mat();
        Bitmap bmp = BitmapFactory.decodeByteArray(image, 0, image.length);
        Utils.bitmapToMat(bmp, img);
        Imgproc.cvtColor(img, img, Imgproc.COLOR_RGB2GRAY);
        Imgproc.blur(img, img, new Size(3, 3));
        Imgproc.Canny(img, img, 20, 100);
        Utils.matToBitmap(img, bmp);

        mTaskManager.drawResult(bmp);
    }
    return;
}

---

From source file:com.joowon.returnA.classifier.cv.PdfPageDivider.java

License:Open Source License

public PdfPageDivider divide() {
    // generate gray scale and blur
    Mat gray = new Mat();
    Imgproc.cvtColor(img, gray, Imgproc.COLOR_BGR2GRAY);
    Imgproc.blur(gray, gray, new Size(3, 3));

    // detect the edges
    Mat edges = new Mat();
    int lowThreshold = 50;
    int ratio = 3;
    Imgproc.Canny(gray, edges, lowThreshold, lowThreshold * ratio);

    lines = new Mat();
    Imgproc.HoughLinesP(edges, lines, 10, Math.PI / 180, 50, 50, 10);
    return this;
}

---

From source file:contador_de_moedas.Segmentacao.java

/**
 * Apply Canny/*from  w  w w.  j  a v  a  2s .  c o  m*/
 *
 * @param img the current frame
 * @return an image elaborated with Canny
 */
private Mat doCanny(Mat img) {
    // inicia
    Mat grayImage = new Mat();
    Mat detectedEdges = new Mat();

    // Reduzir o rudo com um kernel 3x3
    Imgproc.blur(grayImage, detectedEdges, new Size(3, 3));

    //Detector canny, com relao de menor: limite de superior de 3: 1
    Imgproc.Canny(detectedEdges, detectedEdges, this.threshold.getValue(), this.threshold.getValue() * 3);

    //Usando Canny e exibindo o resultadosada como uma mscara. 
    Mat dest = new Mat();
    img.copyTo(dest, detectedEdges);

    return dest;
}

---

From source file:ctPrincipal.Filtros.java

private String media(int mx, int my) {
    Mat img = Imgcodecs.imread(imgS);//from   www  .j av  a2s  .  c  o  m
    Imgproc.blur(img, output, new Size(mx, my));
    Imgcodecs.imwrite("OutputImg/media.jpg", output);
    return "OutputImg/media.jpg";
}

---

From source file:cubesolversimulator.VisualInputForm.java

private void blurOriginal() {
    Imgproc.blur(orig, blured, new Size(18, 18));
    Highgui.imwrite("blured.jpg", blured);
    img1 = new JLabel("");
    img1.setSize(jPanel4.getSize());/*from www .j  a v  a 2s. c o m*/
    image1 = new ImageIcon(new ImageIcon("D:\\Project_work\\CubeSolverSimulator\\blured.jpg").getImage()
            .getScaledInstance(img1.getWidth(), img1.getHeight(), Image.SCALE_FAST));
    img1.setIcon(image1);
    img1.repaint();
    jPanel4.add(img1);
    jPanel4.repaint();
}

---

From source file:cv.recon.util.CannyDetector.java

License:Open Source License

/**
 * Apply Canny detector to Mat./*  www  .j  a v a 2  s .  com*/
 * @param src Input Mat
 * @param dst Output Mat
 */
public void detect(Mat src, Mat dst) {
    Mat src_gray = new Mat();
    Mat detected_edges = new Mat();

    Imgproc.cvtColor(src, src_gray, Imgproc.COLOR_RGB2GRAY);
    Imgproc.blur(src_gray, detected_edges, new Size(3, 3));
    Imgproc.Canny(detected_edges, detected_edges, lowThreshold, lowThreshold * ratio, kernel_size, true);

    dst.setTo(new Scalar(0));
    src.copyTo(dst, detected_edges);
}

---

From source file:cx.uni.jk.mms.iaip.brush.BrushModel.java

License:Open Source License

private void updateAlphaMat() {
    this.alphaMat = Mat.zeros(this.size, this.size, MatModel.MAT_TYPE);
    switch (this.shape) {
    case SQUARE://w ww  .jav  a2  s  . co m
        Core.add(this.alphaMat, new Scalar(1.0f), this.alphaMat);
        break;
    case CIRCLE:
        Core.circle(this.alphaMat, new Point((this.size - 1) * 0.5d, (this.size - 1) * 0.5d),
                (this.size - 1) / 2, new Scalar(1.0f), -1);
        break;
    case SOFT_CIRCLE: {
        Mat temp = this.alphaMat.clone();
        Core.circle(temp, new Point((this.size - 1) * 0.5d, (this.size - 1) * 0.5d), (this.size - 1) / 4,
                new Scalar(1.0f), -1);
        Imgproc.blur(temp, this.alphaMat, new Size(this.size * 0.5d, this.size * 0.5d));
    }
        break;
    default:
        /** this must not happen, die */
        throw new RuntimeException("unexpected BrushModel.Shape = " + this.shape);
    }
}

---

From source file:depthDataFromStereoCamsOpenCV.ProcessImages.java

/**
 * Applies Canny edge detection algorithm
 * @param Mat image//w  w  w  .  j  a  v  a2s  .com
 * @return Mat
 */
public static Mat applyCannyEdgeDetectorOpenCV_Mat(Mat image) {
    //TODO
    //all these parameters have to be investigated
    Mat result = image.clone();
    int lowThreshold = 40;
    int ratio = 120;
    int kernel_size = 3;

    Imgproc.blur(result, result, new Size(2, 2));
    Imgproc.Canny(result, result, lowThreshold, ratio, kernel_size, true);
    //Imgproc.threshold(result,result,64, 254,Imgproc.THRESH_BINARY_INV);
    return result;
}

---

From source file:detectiontest.ParticleDetector.java

/**
 * Particle detection algorithm./*  w w w  .j  a  va  2  s  .com*/
 * 
 * @param image an image where we want to detect
 * @return list of detected particles
 */
public static List<Particle> detect(Mat image) {

    // blur the image to denoise
    Imgproc.blur(image, image, new Size(3, 3));

    // thresholds the image
    Mat thresholded = new Mat();
    Imgproc.threshold(image, thresholded, THRESHOLD, MAX, Imgproc.THRESH_TOZERO_INV);

    // detect contours
    List<MatOfPoint> contours = new ArrayList<>();
    Imgproc.findContours(thresholded, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE,
            ORIGIN);

    // create particle from each contour
    List<Particle> particles = new ArrayList<>();
    for (MatOfPoint contour : contours) {
        particles.add(new Particle(contour));
    }

    return particles;
}

---

• «
• 1
• 2
• 3
• 4
• 5
• »