Example usage for org.opencv.core Mat Mat

List of usage examples for org.opencv.core Mat Mat

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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:fuzzycv.MainFrame.java

/**
 * Get the average value of the histogram representing the image Hue
 * component//from  w w  w.  j  a v  a  2  s  .  co  m
 *
 * @param hsvImg
 *            the current frame in HSV
 * @param hueValues
 *            the Hue component of the current frame
 * @return the average value
 */
private double getHistoAvg(Mat hsvImg, Mat hueValues) {
    double average = 0.0;
    Mat hist_hue = new Mat();
    MatOfInt histSize = new MatOfInt(180);
    List<Mat> hue = new ArrayList<>();
    hue.add(hueValues);

    //compute the histogram
    Imgproc.calcHist(hue, new MatOfInt(0), new Mat(), hist_hue, histSize, new MatOfFloat(0, 179), true);
    // get the average for each bin
    for (int h = 0; h < 180; h++) {
        average += (hist_hue.get(h, 0)[0] * h);
    }
    return average = average / hsvImg.size().height / hsvImg.size().width;
}

From source file:gab.opencv.OpenCV.java

License:Open Source License

/**
 * Dilate the image. Dilation is a morphological operation (i.e. it affects the shape) often used to
 * close holes in contours. It expands white areas of the image.
 * /*  www .  j a  va 2  s.  c om*/
 * See:
 * http://docs.opencv.org/java/org/opencv/imgproc/Imgproc.html#dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)
 * 
 */
public void dilate() {
    Imgproc.dilate(getCurrentMat(), getCurrentMat(), new Mat());
}

From source file:gab.opencv.OpenCV.java

License:Open Source License

/**
 * Erode the image. Erosion  is a morphological operation (i.e. it affects the shape) often used to
 * close holes in contours. It contracts white areas of the image.
 * /*from  w ww  . j  av a 2 s  .c o  m*/
 * See:
 * http://docs.opencv.org/java/org/opencv/imgproc/Imgproc.html#erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)
 * 
 */
public void erode() {
    Imgproc.erode(getCurrentMat(), getCurrentMat(), new Mat());
}

From source file:gab.opencv.OpenCV.java

License:Open Source License

public ArrayList<Contour> findContours(boolean findHoles, boolean sort) {
    ArrayList<Contour> result = new ArrayList<Contour>();

    ArrayList<MatOfPoint> contourMat = new ArrayList<MatOfPoint>();
    try {//from  www .  j  av a  2  s  . c  om
        int contourFindingMode = (findHoles ? Imgproc.RETR_LIST : Imgproc.RETR_EXTERNAL);

        Imgproc.findContours(getCurrentMat(), contourMat, new Mat(), contourFindingMode,
                Imgproc.CHAIN_APPROX_NONE);
    } catch (CvException e) {
        PApplet.println("ERROR: findContours only works with a gray image.");
    }
    for (MatOfPoint c : contourMat) {
        result.add(new Contour(parent, c));
    }

    if (sort) {
        Collections.sort(result, new ContourComparator());
    }

    return result;
}

From source file:gab.opencv.OpenCV.java

License:Open Source License

public ArrayList<Line> findLines(int threshold, double minLineLength, double maxLineGap) {
    ArrayList<Line> result = new ArrayList<Line>();

    Mat lineMat = new Mat();
    Imgproc.HoughLinesP(getCurrentMat(), lineMat, 1, PConstants.PI / 180.0, threshold, minLineLength,
            maxLineGap);//from  w  ww.j  a  v a 2s. c  o m
    for (int i = 0; i < lineMat.width(); i++) {
        double[] coords = lineMat.get(0, i);
        result.add(new Line(coords[0], coords[1], coords[2], coords[3]));
    }

    return result;
}

From source file:gab.opencv.OpenCV.java

License:Open Source License

public Histogram findHistogram(Mat mat, int numBins, boolean normalize) {

    MatOfInt channels = new MatOfInt(0);
    MatOfInt histSize = new MatOfInt(numBins);
    float[] r = { 0f, 256f };
    MatOfFloat ranges = new MatOfFloat(r);
    Mat hist = new Mat();

    ArrayList<Mat> images = new ArrayList<Mat>();
    images.add(mat);/*from   ww  w .  j ava2 s  .c om*/

    Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);

    if (normalize) {
        Core.normalize(hist, hist);
    }

    return new Histogram(parent, hist);
}

From source file:gab.opencv.OpenCV.java

License:Open Source License

/**
 * Convert an OpenCV Mat object into a PImage
 * to be used in other Processing code.//from   w  ww .  j av  a 2 s . c o  m
 * Copies the Mat's pixel data into the PImage's pixel array.
 * Iterates over each pixel in the Mat, i.e. expensive.
 * 
 * (Mainly used internally by OpenCV. Inspired by toCv()
 * from KyleMcDonald's ofxCv.)
 * 
 * @param m
 *          A Mat you want converted
 * @param img
 *          The PImage you want the Mat converted into.
 */
public void toPImage(Mat m, PImage img) {
    img.loadPixels();

    if (m.channels() == 3) {
        Mat m2 = new Mat();
        Imgproc.cvtColor(m, m2, Imgproc.COLOR_RGB2RGBA);
        img.pixels = matToARGBPixels(m2);
    } else if (m.channels() == 1) {
        Mat m2 = new Mat();
        Imgproc.cvtColor(m, m2, Imgproc.COLOR_GRAY2RGBA);
        img.pixels = matToARGBPixels(m2);
    } else if (m.channels() == 4) {
        img.pixels = matToARGBPixels(m);
    }

    img.updatePixels();
}

From source file:gab.opencv.OpenCVProcessingUtils.java

License:Open Source License

public void dilate() {
    Imgproc.dilate(getCurrentMat(), getCurrentMat(), new Mat());
}

From source file:gab.opencv.OpenCVProcessingUtils.java

License:Open Source License

public void erode() {
    Imgproc.erode(getCurrentMat(), getCurrentMat(), new Mat());
}

From source file:gov.nasa.jpl.memex.pooledtimeseries.PoT.java

License:Apache License

static ArrayList<double[][][]> getOpticalHistograms(Path filename, int w_d, int h_d, int o_d)
        throws PoTException {
    ArrayList<double[][][]> histograms = new ArrayList<double[][][]>();

    VideoCapture capture = new VideoCapture(filename.toString());

    if (!capture.isOpened()) {
        LOG.warning("video file " + filename.getFileName() + " could not be opened.");

        double[][][] hist = new double[w_d][h_d][o_d];
        histograms.add(hist);//from ww  w .j  a v a2 s  .c  om
    } else {
        // variables for processing images
        Mat original_frame = new Mat();

        Mat frame = new Mat();
        Mat frame_gray = new Mat();
        Mat prev_frame_gray = new Mat();
        MatOfPoint2f flow = new MatOfPoint2f();

        // computing a list of histogram of optical flows (i.e. a list of 5*5*8
        // arrays)
        for (int frame_index = 0;; frame_index++) {
            // capturing the video images
            capture.read(original_frame);

            if (original_frame.empty()) {
                if (original_frame.empty()) {
                    if (frame_index == 0) {
                        throw new PoTException("Could not read the video file");
                    } else
                        break;
                }
            } else {
                // resizing the captured frame and converting it to the gray scale
                // image.
                Imgproc.resize(original_frame, frame, new Size(frame_width, frame_height));
                Imgproc.cvtColor(frame, frame_gray, Imgproc.COLOR_BGR2GRAY);

                double[][][] hist = new double[w_d][h_d][o_d];
                histograms.add(hist);

                // from frame #2
                if (frame_index > 0) {
                    // calculate optical flows
                    Video.calcOpticalFlowFarneback(prev_frame_gray, frame_gray, flow, 0.5, 1, 10, 2, 7, 1.5, 0); // 0.5, 1, 15, 2, 7, 1.5, 0

                    // update histogram of optical flows
                    updateOpticalHistogram(histograms.get(frame_index), flow);
                }

                Mat temp_frame = prev_frame_gray;
                prev_frame_gray = frame_gray;
                frame_gray = temp_frame;
            }
        }

        capture.release();
    }

    return histograms;
}