Example usage for org.opencv.core Mat cols

Introduction

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

Prototype

public int cols() 

Source Link

Usage

From source file:com.wallerlab.compcellscope.calcDPCTask.java

License:BSD License

protected Long doInBackground(Mat... matrix_list) {
    //int count = urls.length;
    Mat in1 = matrix_list[0];/*from   w  ww .  j  a va 2  s  .  c o m*/
    Mat in2 = matrix_list[1];
    Mat outputMat = matrix_list[2];

    Mat Mat1 = new Mat(in1.width(), in1.height(), in1.type());
    Mat Mat2 = new Mat(in2.width(), in2.height(), in2.type());
    in1.copyTo(Mat1);
    in2.copyTo(Mat2);

    Imgproc.cvtColor(Mat1, Mat1, Imgproc.COLOR_RGBA2GRAY, 1);
    Imgproc.cvtColor(Mat2, Mat2, Imgproc.COLOR_RGBA2GRAY, 1);

    Mat output = new Mat(Mat1.width(), Mat1.height(), CvType.CV_8UC4);
    Mat dpcSum = new Mat(Mat1.width(), Mat1.height(), CvType.CV_32FC1);
    Mat dpcDifference = new Mat(Mat1.width(), Mat1.height(), CvType.CV_32FC1);
    Mat dpcImgF = new Mat(Mat1.width(), Mat1.height(), CvType.CV_32FC1);

    /*
    Log.d(TAG,String.format("Mat1 format is %.1f-%.1f, type: %d",Mat1.size().width,Mat1.size().height,Mat1.type()));
    Log.d(TAG,String.format("Mat2 format is %.1f-%.1f, type: %d",Mat2.size().width,Mat2.size().height,Mat2.type()));
    */

    // Convert to Floats
    Mat1.convertTo(Mat1, CvType.CV_32FC1);
    Mat2.convertTo(Mat2, CvType.CV_32FC1);
    Core.add(Mat1, Mat2, dpcSum);
    Core.subtract(Mat1, Mat2, dpcDifference);
    Core.divide(dpcDifference, dpcSum, dpcImgF);
    Core.add(dpcImgF, new Scalar(1.0), dpcImgF); // Normalize to 0-2.0
    Core.multiply(dpcImgF, new Scalar(110), dpcImgF); // Normalize to 0-255
    dpcImgF.convertTo(output, CvType.CV_8UC1); // Convert back into RGB
    Imgproc.cvtColor(output, output, Imgproc.COLOR_GRAY2RGBA, 4);

    dpcSum.release();
    dpcDifference.release();
    dpcImgF.release();
    Mat1.release();
    Mat2.release();

    Mat maskedImg = Mat.zeros(output.rows(), output.cols(), CvType.CV_8UC4);
    int radius = maskedImg.width() / 2 + 25;
    Core.circle(maskedImg, new Point(maskedImg.width() / 2, maskedImg.height() / 2), radius,
            new Scalar(255, 255, 255), -1, 8, 0);
    output.copyTo(outputMat, maskedImg);
    output.release();
    maskedImg.release();
    return null;
}

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From source file:com.wallerlab.compcellscope.MultiModeViewActivity.java

License:BSD License

public Mat calcDPC(Mat in1, Mat in2, Mat out) {
    Mat Mat1 = new Mat(in1.width(), in1.height(), in1.type());
    Mat Mat2 = new Mat(in2.width(), in2.height(), in2.type());
    in1.copyTo(Mat1);/*w  ww.  j  a v a2s  . c  om*/
    in2.copyTo(Mat2);

    Imgproc.cvtColor(Mat1, Mat1, Imgproc.COLOR_RGBA2GRAY, 1);
    Imgproc.cvtColor(Mat2, Mat2, Imgproc.COLOR_RGBA2GRAY, 1);

    Mat output = new Mat(Mat1.width(), Mat1.height(), CvType.CV_8UC4);
    Mat dpcSum = new Mat(Mat1.width(), Mat1.height(), CvType.CV_32FC1);
    Mat dpcDifference = new Mat(Mat1.width(), Mat1.height(), CvType.CV_32FC1);
    Mat dpcImgF = new Mat(Mat1.width(), Mat1.height(), CvType.CV_32FC1);

    /*
    Log.d(TAG,String.format("Mat1 format is %.1f-%.1f, type: %d",Mat1.size().width,Mat1.size().height,Mat1.type()));
    Log.d(TAG,String.format("Mat2 format is %.1f-%.1f, type: %d",Mat2.size().width,Mat2.size().height,Mat2.type()));
    */

    // Convert to Floats
    Mat1.convertTo(Mat1, CvType.CV_32FC1);
    Mat2.convertTo(Mat2, CvType.CV_32FC1);
    Core.add(Mat1, Mat2, dpcSum);
    Core.subtract(Mat1, Mat2, dpcDifference);
    Core.divide(dpcDifference, dpcSum, dpcImgF);
    Core.add(dpcImgF, new Scalar(1.0), dpcImgF); // Normalize to 0-2.0
    Core.multiply(dpcImgF, new Scalar(110), dpcImgF); // Normalize to 0-255
    dpcImgF.convertTo(output, CvType.CV_8UC1); // Convert back into RGB
    Imgproc.cvtColor(output, output, Imgproc.COLOR_GRAY2RGBA, 4);

    dpcSum.release();
    dpcDifference.release();
    dpcImgF.release();
    Mat1.release();
    Mat2.release();

    Mat maskedImg = Mat.zeros(output.rows(), output.cols(), CvType.CV_8UC4);
    int radius = maskedImg.width() / 2 + 25;
    Core.circle(maskedImg, new Point(maskedImg.width() / 2, maskedImg.height() / 2), radius,
            new Scalar(255, 255, 255), -1, 8, 0);
    output.copyTo(out, maskedImg);
    output.release();
    maskedImg.release();
    return out;
}

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

License:BSD License

public static Bitmap toBitmap(Mat mat) {
    Bitmap bmp = Bitmap.createBitmap(mat.cols(), mat.rows(), Bitmap.Config.ARGB_8888);
    Utils.matToBitmap(mat, bmp);//from  w  w  w  .  j  ava2 s . c  o  m
    return bmp;
}

---

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

License:BSD License

public static Mat circularShift(Mat mat, int x, int y) {
    int w = mat.cols();
    int h = mat.rows();
    Mat result = Mat.zeros(h, w, CvType.CV_32FC4);

    int shiftR = x % w;
    int shiftD = y % h;
    //java modulus gives negative results for negative numbers
    if (shiftR < 0)
        shiftR += w;/*w w  w .j a va 2  s.  com*/
    if (shiftD < 0)
        shiftD += h;

    /* extract 4 submatrices
              |---| shiftR
     ______________
    |         |   |
    |    1    | 2 |
    |_________|___|  ___ shiftD
    |         |   |   |
    |    3    | 4 |   |
    |         |   |   |
    |_________|___|  _|_
     */
    Mat shift1 = mat.submat(0, h - shiftD, 0, w - shiftR);
    Mat shift2 = mat.submat(0, h - shiftD, w - shiftR, w);
    Mat shift3 = mat.submat(h - shiftD, h, 0, w - shiftR);
    Mat shift4 = mat.submat(h - shiftD, h, w - shiftR, w);

    /* and rearrange
     ______________
    |   |         |
    | 4 |    3    |
    |   |         |
    |___|_________|
    |   |         |
    | 2 |    1    |
    |___|_________|
     */
    shift1.copyTo(new Mat(result, new Rect(shiftR, shiftD, w - shiftR, h - shiftD)));
    shift2.copyTo(new Mat(result, new Rect(0, shiftD, shiftR, h - shiftD)));
    shift3.copyTo(new Mat(result, new Rect(shiftR, 0, w - shiftR, shiftD)));
    shift4.copyTo(new Mat(result, new Rect(0, 0, shiftR, shiftD)));

    return result;
}

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From source file:contador_de_moedas.Reconhecimento.java

public Mat CriaMascara(Point pt, double raio, Mat img_Original) {
    // Cria uma img toda preta com as mesmas dimenses da original
    Mat mask = zeros(img_Original.rows(), img_Original.cols(), CV_8U);
    // Cria um circulo branco preenchido
    Imgproc.circle(mask, pt, (int) raio, new Scalar(255, 255, 255), -1, 8, 0);
    return (mask);
}

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From source file:controller.GhostDetection.java

public static int[][] detect(Mat imgR, Mat imgO, JointPDF jointPDF) {

    double count_blue, count_green, count_red;
    final double threshold = 0.00001;
    int[][] ghostPixel = new int[imgO.rows()][imgO.cols()];

    // Tresholding
    for (int i = 0; i < imgR.rows(); i++) {
        for (int j = 0; j < imgR.cols(); j++) {
            double[] rgbR = imgR.get(i, j);
            double[] rgbO = imgO.get(i, j);

            count_blue = jointPDF.getPDF_blue()[(int) rgbO[0]][(int) rgbR[0]];
            count_green = jointPDF.getPDF_green()[(int) rgbO[1]][(int) rgbR[1]];
            count_red = jointPDF.getPDF_red()[(int) rgbO[2]][(int) rgbR[2]];

            if (count_blue < threshold || count_green < threshold || count_red < threshold) {
                ghostPixel[i][j] = 0;// w w  w .j a  v a  2s  .  c o m
            } else {
                ghostPixel[i][j] = 1;
            }
        }
    }
    //        for (int i = 0; i < 3; i++) {
    //            for (int j = 0; j < 5; j++) {
    //                double ghost = ghostPixel[i][j];
    //                System.out.print(ghost+";");
    //            }
    //            System.out.println("");
    //        }
    return ghostPixel;
}

---

From source file:cpsd.ImageGUI.java

private void cannyButtonActionPerformed(java.awt.event.ActionEvent evt) {//GEN-FIRST:event_cannyButtonActionPerformed
    try {// w w  w .  j  ava  2s  .co  m
        Mat source = ImageClass.getInstance().getImage();

        Mat destination = new Mat(source.rows(), source.cols(), source.type());
        threshold(source, destination, 50, 255, CV_THRESH_BINARY);
        // ImageClass.getInstance().setImage(destination);
        // Imgproc.GaussianBlur(destination,destination,new org.opencv.core.Size(0,0),10);
        // fastNlMeansDenoising(destination,destination,3,7,21);
        // source = ImageClass.getInstance().getImage();
        Imgproc.Canny(destination, destination, 0.05, 0.15, 3, true);
        ImageClass.getInstance().setImage(destination);
    } catch (NullPointerException e) {
        System.err.println("..........Please load a valid Image..........");
    }
    displayImage(); // TODO add your handling code here:
}

---

From source file:cpsd.ImageGUI.java

private void AnalyzeButtonActionPerformed(java.awt.event.ActionEvent evt) {//GEN-FIRST:event_AnalyzeButtonActionPerformed
    try {//from   www .java  2 s. c  o  m
        double pixelArea = 1;
        double imageSize = 1;
        if (magnification == 50)
            pixelArea = 1.2996;
        else if (magnification == 100)
            pixelArea = 0.329476;
        else if (magnification == 200)
            pixelArea = 0.08162;
        else {
            imageSize = pow(10, 10) * pow(magnification, -2);
            pixelArea = (imageSize) / (resolution1 * resolution2);
        }
        Mat source = ImageClass.getInstance().getImage();
        Mat destination = new Mat(source.rows(), source.cols(), source.type());
        //Imgproc.adaptiveThreshold(source,destination,255,ADAPTIVE_THRESH_GAUSSIAN_C,THRESH_BINARY_INV,13,2);
        //Imgproc.GaussianBlur(destination,destination,new org.opencv.core.Size(0,0),5);
        threshold(source, destination, 30, 255, CV_THRESH_BINARY);
        distanceTransform(destination, destination, CV_DIST_L2, 3);
        normalize(destination, destination, 0, 1, NORM_MINMAX);
        threshold(destination, destination, 0.5, 1, CV_THRESH_BINARY);
        destination.convertTo(destination, CV_8U);
        /*ImageClass.getInstance().setImage(destination);
        displayImage();*/
        ArrayList<MatOfPoint> contours = new ArrayList<MatOfPoint>();
        MatOfInt4 hierarchy = new MatOfInt4();
        // Rect roi = new Rect(100,100,destination.cols()-100,destination.rows()-100);
        //  Mat imageROI = destination.submat(roi);
        /*ImageClass.getInstance().setImage(imageROI);
        displayImage();*/
        //Imgproc.Canny(source,destination,0.05,0.15);
        Imgproc.findContours(destination, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
        int total = contours.size();
        int count = 0;

        //System.out.println(total);
        MatOfPoint[] cntrs = contours.toArray(new MatOfPoint[contours.size()]);
        ArrayList<Double> value = new ArrayList<Double>();
        double temp = 0;
        for (int i = 0; i < contours.size(); i++) {
            if (contourArea(cntrs[i]) > 1/*&& contourArea(cntrs[i])<3000*/) {
                temp = 2 * Math.sqrt((contourArea(cntrs[i]) * (pixelArea)) / Math.PI);
                //temp = contourArea(cntrs[i]);
                if (temp > 0) {
                    value.add(count, temp);
                    System.out.println("area of contour " + count++ + " is : " + contourArea(cntrs[i]));
                }
            }
        }
        System.out.println("total number of contours : " + count);
        double[] values = new double[count];
        for (int i = 0; i < count; i++) {
            //temp = value.get(i);//2*Math.sqrt((value.get(i)*127.024)/Math.PI);
            //if(temp>0)
            values[i] = value.get(i);
            //System.out.println("the diameter of particle "+i+ "is "+values[i]);
            // values[i]=(contourArea(cntrs[i])*127.024)/100;
        }
        //int number = 300;
        /*HistogramDataset dataset = new HistogramDataset();
        dataset.setType(HistogramType.FREQUENCY);
        XYSeries series = new XYSeries("Particle Size Distribution");
        try{
        dataset.addSeries("Histogram1",values,number,0,300);
                
        for(int i=0;i<300;i++){
            if(dataset.getYValue(0,i)>0)
           series.add(dataset.getXValue(0,i),dataset.getYValue(0,i));
        }
        // XYDataset xydataset = new XYSeriesCollection(series);
        }catch(Exception e)
        {
            e.printStackTrace();
        }
        XYDataset xydataset = new XYSeriesCollection(series);
        String plotTitle = "Particle Size Distribution";
        String xAxis = "particle diameter in microns";
        String yAxis = "particle count";
        PlotOrientation orientation = PlotOrientation.VERTICAL;
        boolean show = true;
        boolean toolTips = true;
        boolean urls = false;
        JFreeChart chart1 = ChartFactory.createXYLineChart(plotTitle,xAxis,yAxis,xydataset,orientation,show,toolTips,urls);
        JFreeChart chart2 = ChartFactory.createHistogram(plotTitle,xAxis,yAxis,dataset,orientation,show,toolTips,urls);
                
        int width1 = 500;
        int height1 = 500;
        ChartFrame frame1 = new ChartFrame("Coal PSD",chart1);
        frame1.setSize(width1,height1);
        frame1.setVisible(true);
        frame1.setDefaultCloseOperation(DISPOSE_ON_CLOSE);
        int width2 = 500;
        int height2 = 500;
        ChartFrame frame2 = new ChartFrame("Coal PSD",chart2);
        frame2.setSize(width2,height2);
        frame2.setVisible(true);
        frame2.setDefaultCloseOperation(DISPOSE_ON_CLOSE);*/
    } catch (NullPointerException e) {
        System.err.println("..........Please load a valid Image..........");
    }
    // TODO add your handling code here:
}

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From source file:cpsd.ImageGUI.java

private void rgb2Gray() {
    //String str = path.getText().toString(); 
    Mat source = ImageClass.getInstance().getImage();
    Mat destination = new Mat(source.rows(), source.cols(), CV_8UC1);
    Imgproc.cvtColor(source, destination, COLOR_RGB2GRAY);
    ImageClass.getInstance().setImage(destination);
}

---

From source file:cpsd.ImageGUI.java

private void zoomImage(double zoomlevel) {
    Mat source = ImageClass.getInstance().getImage();
    Mat destination = new Mat((int) (source.rows() * zoomlevel), (int) (source.cols() * zoomlevel),
            source.type());//from ww  w .j  a v a 2 s  .c o m
    Imgproc.resize(source, destination, destination.size(), zoomlevel, zoomlevel, INTER_CUBIC);
    ImageClass.getInstance().setImage(destination);
    zoomSlider.setValue((int) (zoomlevel * 10));
}

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