Example usage for org.opencv.core Mat Mat

Introduction

In this page you can find the example usage for org.opencv.core Mat Mat.

Prototype

public Mat() 

Source Link

Usage

From source file:com.wallerlab.processing.utilities.ImageUtils.java

License:BSD License

public static Mat toMat(Bitmap bmp) {
    Mat mat = new Mat();
    Utils.bitmapToMat(bmp, mat);
    return mat;
}

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From source file:Comun.Imagen.java

public String dividirImagen(String nombreCarpeta) {
    StringBuilder SB = new StringBuilder();

    //Crea la carpeta donde alojar las imagenes
    this.nombreCarpeta = nombreCarpeta;
    File carpeta = new File(nombreCarpeta);
    if (carpeta.mkdir()) {
        Mat imgAux = new Mat();
        //Convertir la imagen en escala de grises a binario
        threshold(imagen, imgAux, 128, 255, THRESH_BINARY | THRESH_OTSU);

        //Dibuja los bordes
        double umbral = 100;
        Canny(imgAux, imgAux, umbral, umbral * 2);

        //Lista que guarda los puntos de los contornos
        LinkedList<MatOfPoint> contornos = new LinkedList<>();
        Mat jerarquia = new Mat();

        //Detecto los contornos
        findContours(imgAux, contornos, jerarquia, RETR_TREE, CHAIN_APPROX_SIMPLE);

        Rect contorno;//from  w  ww  .  java  2s. co m

        if (!contornos.isEmpty()) {
            SB.append("Se han encontrado ").append(contornos.size()).append(" contornos -");

            double areaProm = 0;
            for (int i = 0; i < contornos.size(); i++) {
                contorno = boundingRect(contornos.get(i));
                areaProm += contorno.area();
            }

            //Asigna que para ser un contorno valido debe ser mayor al 10% del segundo mayor
            areaProm = (areaProm / contornos.size()) * 0.25;
            ArrayList<Rect> contornosFiltrados = new ArrayList<>();

            //Guarda las letras detectadas
            for (int i = 0; i < contornos.size(); i++) {

                contorno = boundingRect(contornos.get(i));
                //Verifica que supere el limite
                if (contorno.area() > areaProm) {
                    contornosFiltrados.add(contorno);
                }
            }
            //Ordeno los contornos de mayor a menor
            Mergesort merge = new Mergesort(contornosFiltrados);
            merge.ordenar();
            contornosFiltrados = merge.getV();

            //Filtro solo los contornos que no se superponen con otro
            ArrayList<Rect> contornosFinal = new ArrayList<>();
            boolean bandera = false;
            for (Rect recta : contornosFiltrados) {
                for (Rect c : contornosFinal) {
                    if (c.contains(recta.tl()) || c.contains(recta.br())) {
                        bandera = true;
                        break;
                    }
                }
                if (!bandera) {
                    //Agrego el contorno a la lista final de contornos
                    contornosFinal.add(recta);
                    //Guardo la imagen en la carpeta
                    this.guardarImagen(new Mat(imagen, recta), contornosFinal.size());

                    //La marca en la imagen principal
                    rectangle(imagen, new Point(recta.x, recta.y),
                            new Point(recta.x + recta.width, recta.y + recta.height), new Scalar(0, 255, 0));
                }
                bandera = false;
            }

            SB.append("Contornos Validos: ").append(contornosFinal.size());

        } else {
            SB.append("No se ha encontrado ningun contorno");
        }
    } else {
        SB.append("No se pudo crear la carpeta");
    }
    this.guardarImagen(imagen, 0);
    return SB.toString();
}

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From source file:ConfOpenCV_Java.ConfOpenCV_Java.java

/**
 * @param args the command line arguments
 *///from www  . j  a  v  a  2 s .  c  om
public static void main(String[] args) {

    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    System.out.println("Welcome to OpenCV " + Core.VERSION);
    String outputFile = "mivideo.avi";
    VideoCapture vc = new VideoCapture(0);
    System.out.println("fps= " + Videoio.CAP_PROP_FPS);

    //vc.set(5, 50);
    //System.out.println(vc.set(3, 1280));
    //vc.set(4, 720);
    double fps = 30;
    System.out.println(fps);

    Size frameSize = new Size((int) vc.get(Videoio.CV_CAP_PROP_FRAME_WIDTH),
            (int) vc.get(Videoio.CV_CAP_PROP_FRAME_HEIGHT));
    System.out.println(frameSize);

    VideoWriter vw = new VideoWriter(outputFile, VideoWriter.fourcc('X', '2', '6', '4'), fps, frameSize, true);
    //System.out.println(VideoWriter.fourcc('X', '2', '6', '4'));
    //System.out.println(vw.isOpened());
    Mat frame = new Mat();

    //para cargar fotos
    //Imgcodecs.imread(outputFile)
    //Imgcodecs.imwrite(outputFile, m);
    int numFramesRemaining = 5 * (int) fps;

    NewJFrame ventana = new NewJFrame();
    ventana.setVisible(true);
    g = ventana.getjPanel1().getGraphics();
    ventana.pack();
    ventana.setVisible(true);

    while (vc.read(frame) && numFramesRemaining > 0) {
        vw.write(frame);
        mostrarImagen(frame);
        numFramesRemaining--;
    }

    vw.release();
    vc.release();
    ventana.dispose();

}

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From source file:contador_de_moedas.Reconhecimento.java

public Mat CalculaHistograma(Mat mask, Mat img_Original) {
    // Converte para um tipo de imagem com canais separados
    List<Mat> imagesList = new ArrayList<>();
    imagesList.add(img_Original);// w  w w . j  ava  2  s .c om
    // Parametros do calcHist
    Mat histograma = new Mat();
    int h_bins = 30;
    int s_bins = 32;
    MatOfInt mHistSize = new MatOfInt(h_bins, s_bins);
    MatOfFloat mRanges = new MatOfFloat(0, 179, 0, 255);
    MatOfInt mChannels = new MatOfInt(0, 1);
    // Calcula o histograma
    Imgproc.calcHist(imagesList, mChannels, mask, histograma, mHistSize, mRanges, false);
    // Normalizao necessria para ajustar valores
    Core.normalize(histograma, histograma, 0, 255, Core.NORM_MINMAX, -1, new Mat());

    return (histograma);
}

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From source file:contador_de_moedas.Segmentacao.java

private Mat Binarizar(Mat imgOriginal) {
    Mat Cinza = new Mat();
    Mat Binarizada = new Mat();
    // convert to grayscale
    Imgproc.cvtColor(imgOriginal, Cinza, Imgproc.COLOR_BGR2GRAY);
    //Binarizacao de imagem 
    Imgproc.adaptiveThreshold(Cinza, Binarizada, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY_INV,
            15, 20);//from   ww w .j a va  2s .  c om
    return (Binarizada);
}

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From source file:contador_de_moedas.Segmentacao.java

/**
 * Apply Canny/* w  w  w . j  a  v a 2 s  .c  om*/
 *
 * @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;
}

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From source file:cubesolversimulator.VisualInputForm.java

private void getContour() {
    Mat dilate = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(7, 7));

    Imgproc.dilate(edge, edge, dilate);/*from   ww  w .j  a va2 s.c  o m*/
    Imgproc.dilate(edge, edge, dilate);

    Highgui.imwrite("dilate.jpg", edge);

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

    Imgproc.findContours(edge, contours, new Mat(), Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE);
    Imgproc.drawContours(contour, contours, -1, new Scalar(255, 255, 255));

    Highgui.imwrite("Contour.jpg", contour);

    img4 = new JLabel("");
    img4.setSize(jPanel7.getSize());
    image4 = new ImageIcon(new ImageIcon("D:\\Project_work\\CubeSolverSimulator\\dilate.jpg").getImage()
            .getScaledInstance(img4.getWidth(), img4.getHeight(), Image.SCALE_FAST));
    img4.setIcon(image4);
    img4.repaint();
    jPanel7.add(img4);
    jPanel7.repaint();
    findRect(contours);
}

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From source file:cv.recon.controller.OutputDisplayController.java

License:Open Source License

@Override
public void initialize(URL url, ResourceBundle rb) {
    fgMask = new Mat();
    output = new Mat();

    kernel = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(10, 10));
}

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From source file:cv.recon.controller.RootLayoutController.java

License:Open Source License

@Override
public void initialize(URL url, ResourceBundle rb) {
    vid = new VideoCapture();
    src = new Mat();

    initInputDisplay();//from w  w w.j av  a2 s .c  o m
    initOutputDisplay();
    initChart();
}

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

License:Open Source License

/**
 * Apply Canny detector to Mat.//from   w w  w.ja v a 2s. 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);
}

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