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.davidmiguel.gobees.monitoring.algorithm.processors.ContoursFinder.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  .  j a v a2s  . c  o m
    Mat tmp = frame.clone();
    // Finding outer contours
    contourList.clear();
    Imgproc.findContours(tmp, contourList, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
    // Filter bees
    Mat contours = new Mat(tmp.rows(), tmp.cols(), CvType.CV_8UC3);
    tmp.release();
    double area;
    Scalar color;
    numBees = 0;
    for (int i = 0; i < contourList.size(); i++) {
        area = Imgproc.contourArea(contourList.get(i));
        if (area > minArea && area < maxArea) {
            color = GREEN;
            numBees++;
        } else {
            color = RED;
        }
        // Draw contour
        Imgproc.drawContours(contours, contourList, i, color, -1);
    }
    return contours;
}

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From source file:com.example.afs.makingmusic.process.ImageGenerator.java

License:Open Source License

private BufferedImage toBufferedImage(Mat matrix) {
    int width = matrix.cols();
    int height = matrix.rows();
    int channels = matrix.channels();
    int bitmapSize = height * width * channels;
    byte[] bitmap = new byte[bitmapSize];
    matrix.get(0, 0, bitmap);//from w  ww.j  av  a2s . c  o m
    BufferedImage image = new BufferedImage(width, height, BufferedImage.TYPE_3BYTE_BGR);
    WritableRaster raster = image.getRaster();
    DataBufferByte dataBuffer = (DataBufferByte) raster.getDataBuffer();
    System.arraycopy(bitmap, 0, dataBuffer.getData(), 0, bitmap.length);
    return image;
}

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From source file:com.example.yannic.remotefacedetection.agent.FaceDetectionAgent.java

License:Open Source License

public static BufferedImage matToBufferedImage(Mat matrix, BufferedImage bimg) {
    if (matrix != null) {
        int cols = matrix.cols();
        int rows = matrix.rows();
        int elemSize = (int) matrix.elemSize();
        byte[] data = new byte[cols * rows * elemSize];
        int type;
        matrix.get(0, 0, data);//from  w  ww.  jav  a2s.  co m
        switch (matrix.channels()) {
        case 1:
            type = BufferedImage.TYPE_BYTE_GRAY;
            break;
        case 3:
            type = BufferedImage.TYPE_3BYTE_BGR;
            // bgr to rgb
            byte b;
            for (int i = 0; i < data.length; i = i + 3) {
                b = data[i];
                data[i] = data[i + 2];
                data[i + 2] = b;
            }
            break;
        default:
            return null;
        }

        if (bimg == null || bimg.getWidth() != cols || bimg.getHeight() != rows || bimg.getType() != type) {
            bimg = new BufferedImage(cols, rows, type);
        }
        bimg.getRaster().setDataElements(0, 0, cols, rows, data);
    } else {
        bimg = null;
    }
    return bimg;
}

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From source file:com.github.mbillingr.correlationcheck.ImageProcessor.java

License:Open Source License

Bitmap matToBitmap(Mat input) {
    if (input == null) {
        return Bitmap.createBitmap(0, 0, Bitmap.Config.ARGB_8888);
    }/* ww  w  .  ja  v a2  s.c  o m*/
    Mat tmp = new Mat();
    if (input.channels() == 1) {
        Imgproc.cvtColor(input, tmp, Imgproc.COLOR_GRAY2RGB);
    } else {
        Imgproc.cvtColor(input, tmp, Imgproc.COLOR_BGR2RGB);
    }
    Core.transpose(tmp, tmp);
    Core.flip(tmp, tmp, 1);

    Bitmap bm = Bitmap.createBitmap(tmp.cols(), tmp.rows(), Bitmap.Config.ARGB_8888);
    Utils.matToBitmap(tmp, bm);
    return bm;
}

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From source file:com.github.rosjava_catkin_package_a.ARLocROS.Imshow.java

License:Apache License

/**
 * @param opencvImage/* w  ww .j a v  a2 s.co m*/
 */
public static void show(Mat opencvImage) {

    Dimension frameSize = new Dimension(opencvImage.rows(), opencvImage.cols());
    if (frame == null) {
        frame = new Imshow("", frameSize.height, frameSize.width);
        frame.Window.setVisible(true);

        frame.Window.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE);
        if (frame.SizeCustom) {
            Imgproc.resize(opencvImage, opencvImage, new Size(frame.Height, frame.Width));
        }
    }
    BufferedImage bufImage = null;
    try {

        int type = BufferedImage.TYPE_BYTE_GRAY;
        if (opencvImage.channels() > 1) {
            type = BufferedImage.TYPE_3BYTE_BGR;
        }
        int bufferSize = opencvImage.channels() * opencvImage.cols() * opencvImage.rows();
        byte[] b = new byte[bufferSize];
        opencvImage.get(0, 0, b);
        BufferedImage bufferedImage = new BufferedImage(opencvImage.cols(), opencvImage.rows(), type);
        final byte[] targetPixels = ((DataBufferByte) bufferedImage.getRaster().getDataBuffer()).getData();
        System.arraycopy(b, 0, targetPixels, 0, b.length);
        bufImage = bufferedImage;
        frame.image.setImage(bufImage);
        frame.Window.pack();
        frame.label.updateUI();
        //frame.Window.setVisible(true);
    } catch (Exception e) {
        e.printStackTrace();
    }
}

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From source file:com.jeremydyer.nifi.ZoomImageProcessor.java

License:Apache License

@Override
public void onTrigger(final ProcessContext context, final ProcessSession session) throws ProcessException {
    final FlowFile original = session.get();
    if (original == null) {
        return;/* w  ww.  jav  a 2s  .co  m*/
    }

    session.transfer(session.clone(original), REL_ORIGINAL);

    FlowFile ff = session.write(original, new StreamCallback() {
        @Override
        public void process(InputStream inputStream, OutputStream outputStream) throws IOException {
            try {
                int zoomingFactor = context.getProperty(ZOOMING_FACTOR).asInteger();

                BufferedImage image = ImageIO.read(inputStream);
                byte[] pixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
                Mat source = new Mat(image.getHeight(), image.getWidth(), Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
                source.put(0, 0, pixels);

                Mat destination = new Mat(source.rows() * zoomingFactor, source.cols() * zoomingFactor,
                        source.type());
                Imgproc.resize(source, destination, destination.size(), zoomingFactor, zoomingFactor,
                        Imgproc.INTER_NEAREST);

                MatOfByte bytemat = new MatOfByte();
                Imgcodecs.imencode(".png", destination, bytemat);
                pixels = bytemat.toArray();
                outputStream.write(pixels);

            } catch (Exception ex) {
                getLogger().error(ex.getMessage());
                ex.printStackTrace();
            }
        }
    });

    session.transfer(ff, REL_SUCCESS);

}

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From source file:com.jiminger.image.mjpeg.MJPEGWriter.java

License:Open Source License

static public boolean appendFile(final String filename) {
    if (height == -1) {
        final Mat origImage = Imgcodecs.imread(filename);
        width = origImage.cols();
        height = origImage.rows();/*w  w  w  .  j a  va  2 s.c  o  m*/
    }
    return doappendFile(filename, width, height);
}

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From source file:com.joravasal.keyface.EigenFacesActivity.java

License:Open Source License

/**
 * Converts a matrix with any values into a matrix with correct values (between 0 and 255, both included) to be shown as an image.
 * @param mat: The matrix to convert/*  ww  w.  j a  va  2 s. c  om*/
 * @return A matrix that can be used as an image
 */
private Mat toGrayscale(Mat mat) {
    Mat res = new Mat(mat.rows(), mat.cols(), CvType.CV_8UC1);
    double min, max;
    MinMaxLocResult minmax = Core.minMaxLoc(mat);
    min = minmax.minVal;
    max = minmax.maxVal;
    for (int row = 0; row < mat.rows(); row++) {
        for (int col = 0; col < mat.cols(); col++) {
            res.put(row, col, 255 * ((mat.get(row, col)[0] - min) / (max - min)));
        }
    }
    return res;
}

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From source file:com.Linguist.model.AdaptiveThresholdClass.java

@Override
public File imagePreprocessing(String imageFile, String extnsn) {
    //  System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    Mat graySource = imread("C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\" + imageFile,
            IMREAD_GRAYSCALE);/* ww w . j  av  a2s  .  c om*/
    Mat destintn = new Mat(graySource.rows(), graySource.cols(), graySource.type());

    adaptiveThreshold(graySource, destintn, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, 40);
    Imgcodecs.imwrite("C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\adaptive.jpg",
            destintn);
    File outputImage = new File(
            "C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\adaptive.jpg");
    return outputImage;
}

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From source file:com.Linguist.model.grayscaleClass.java

@Override
public File imagePreprocessing(String image, String extnsn) {

    BufferedImage bImge = null;//w w w .  j a v a 2  s.  co  m
    BufferedImage bImage2 = null;
    File grayscle = null;

    try {

        // loadOpenCV_Lib();
        //String path = "opencv\\build\\java\\x64\\opencv_java300.dll";
        FileInputStream fileName = new FileInputStream(
                "C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\" + image);
        InputStream input = fileName;
        bImge = ImageIO.read(input);
        byte[] imgeByte = ((DataBufferByte) bImge.getRaster().getDataBuffer()).getData();
        Mat mat1 = new Mat(bImge.getHeight(), bImge.getWidth(), CvType.CV_8UC3);
        mat1.put(0, 0, imgeByte);
        Mat mat2 = new Mat(bImge.getHeight(), bImge.getWidth(), CvType.CV_8UC1);
        Imgproc.cvtColor(mat1, mat2, Imgproc.COLOR_RGB2GRAY);
        byte[] imageData = new byte[mat2.rows() * mat2.cols() * (int) (mat2.elemSize())];
        mat2.get(0, 0, imageData);
        bImage2 = new BufferedImage(mat2.cols(), mat2.rows(), BufferedImage.TYPE_BYTE_GRAY);
        bImage2.getRaster().setDataElements(0, 0, mat2.cols(), mat2.rows(), imageData);

        String extn = null;
        switch (extnsn) {
        case ".jpg":
            extn = "jpg";
            break;
        case ".png":
            extn = "png";
            break;
        case ".pdf":
            extn = "pdf";
            break;
        case ".tiff":
            extn = "tif";
            break;

        }
        //writing the grayscale image to the folder
        grayscle = new File(
                "C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\grayscale" + "." + extn);
        ImageIO.write(bImage2, "jpg", grayscle);
    } catch (IOException ex) {
        System.out.println("" + ex.getMessage());
    } catch (Exception ex) {
        Logger.getLogger(grayscaleClass.class.getName()).log(Level.SEVERE, null, ex);
    }
    return grayscle;

}

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