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.astrocytes.core.operationsengine.OperationsImpl.java

License:Open Source License

@Override
public Mat applyMathMorphology(Integer radius) {
    Mat dest = new Mat();
    int instrumentSize = radius * 2 + 1;
    Mat kernel = getStructuringElement(Imgproc.CV_SHAPE_ELLIPSE, new Size(instrumentSize, instrumentSize),
            new Point(radius, radius));

    Imgproc.morphologyEx(currentImage, dest, MORPH_CLOSE, kernel, new Point(-1, -1), 1);

    dest.copyTo(currentImage);//from   www .  ja v  a  2 s .c o  m
    dest.release();
    return currentImage;
}

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From source file:com.astrocytes.core.operationsengine.OperationsImpl.java

License:Open Source License

private void detectAstrocytesOld(Mat source, Integer averageRectSize, Double averageArea, int intensity) {
    if (source.channels() == 3) {
        source = CoreOperations.grayscale(source);
    }//from   w  w w .  j  a  v  a2 s  .c om

    astrocytesCenters = new ArrayList<>();
    List<MatOfPoint> contoursAfterFirstIteration = new ArrayList<>();
    Mat hierarchy = new Mat();

    /* Step 1 */
    findContours(source, contoursAfterFirstIteration, hierarchy, Imgproc.RETR_LIST,
            Imgproc.CHAIN_APPROX_TC89_L1);

    for (MatOfPoint contour : contoursAfterFirstIteration) {
        Rect boundingRectangle = boundingRect(contour);
        Double contourArea = contourArea(contour);
        Double contourPerimeter = arcLength(new MatOfPoint2f(contour.toArray()), true);

        /* Step 2 */
        if (averageArea - 160 <= contourArea /*&& contourArea <= averageArea + 10*/) {
            /* Step 3 */
            if (((averageRectSize - 15 <= boundingRectangle.width)
                    && (boundingRectangle.width <= averageRectSize + 15)
                    || (averageRectSize - 15 <= boundingRectangle.height)
                            && (boundingRectangle.height <= averageRectSize + 15))
                    && (boundingRectangle.width / (float) boundingRectangle.height < 1.8f)
                    && (boundingRectangle.height / (float) boundingRectangle.width < 1.8f)) {
                /* Step 4 */
                if (contourArea / (contourPerimeter * contourPerimeter) > 0.05
                        && contourArea / (contourPerimeter * contourPerimeter) < 0.30) {
                    int averageIntensityWithinContour = CoreOperations.averageIntensity(sourceImage, contour);

                    /* Step 5 */
                    if (averageIntensityWithinContour <= intensity + 20) {
                        int xCoordOfAstrocyteCenter = (int) boundingRectangle.tl().x
                                + boundingRectangle.width / 2;
                        int yCoordOfAstrocyteCenter = (int) boundingRectangle.tl().y
                                + boundingRectangle.height / 2;
                        astrocytesCenters.add(new Point(xCoordOfAstrocyteCenter, yCoordOfAstrocyteCenter));
                    }
                }
            }
        }
    }
}

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From source file:com.astrocytes.core.operationsengine.OperationsImpl.java

License:Open Source License

private List<Neuron> findNeuronsInStep(Mat source, int stepRadius) {
    List<Neuron> neurons = new ArrayList<Neuron>();

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

    findContours(CoreOperations.grayscale(source), contours, hierarchy, Imgproc.RETR_LIST,
            Imgproc.CHAIN_APPROX_TC89_L1);

    for (MatOfPoint contour : contours) {
        Rect boundingRectangle = boundingRect(contour);
        int xCenter = boundingRectangle.x + boundingRectangle.width / 2;
        int yCenter = boundingRectangle.y + boundingRectangle.height / 2;
        neurons.add(new Neuron(new Point(xCenter, yCenter), stepRadius));
    }/*from w w w .j  a va 2s  . c  o m*/

    return neurons;
}

---

From source file:com.astrocytes.core.operationsengine.OperationsImpl.java

License:Open Source License

private void findAstrocytes(Mat src) {
    astrocytesCenters = new ArrayList<Point>();

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

    findContours(CoreOperations.grayscale(src), contours, hierarchy, Imgproc.RETR_LIST,
            Imgproc.CHAIN_APPROX_TC89_L1);

    for (MatOfPoint contour : contours) {
        Rect boundingRectangle = boundingRect(contour);
        Double contourArea = contourArea(contour);
        Double contourPerimeter = arcLength(new MatOfPoint2f(contour.toArray()), true);

        if (contourArea / (contourPerimeter * contourPerimeter) > 0.05
                && contourArea / (contourPerimeter * contourPerimeter) < 0.30) {
            int xCenter = boundingRectangle.x + boundingRectangle.width / 2;
            int yCenter = boundingRectangle.y + boundingRectangle.height / 2;
            astrocytesCenters.add(new Point(xCenter, yCenter));
        }//from www .j a v a  2  s .  c o  m
    }
}

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From source file:com.astrocytes.core.operationsengine.OperationsImpl.java

License:Open Source License

private Mat applyKmeans(Mat source) {
    Mat dest = new Mat();

    source.convertTo(source, CvType.CV_32F, 1.0 / 255.0);

    Mat centers = new Mat();
    Mat labels = new Mat();
    TermCriteria criteria = new TermCriteria(TermCriteria.COUNT, 20, 0.1);
    Core.kmeans(source, 4, labels, criteria, 10, Core.KMEANS_PP_CENTERS, centers);

    List<Mat> mats = showClusters(source, labels, centers);
    //mats.get(0).convertTo(dest, CvType.CV_8UC3);
    Core.merge(mats, dest);/*from   w ww  .ja v  a2  s  . c  om*/
    //centers.convertTo(dest, CvType.CV_8UC3);
    return dest;
}

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From source file:com.blogspot.thedsweb.engine.Brightness.java

License:Open Source License

private int captureAndCalculate() {
    final Mat frame = new Mat();

    // Initialize video capturing and set a small image size
    final VideoCapture cap = new VideoCapture(0);
    cap.set(3, 160);//from   ww  w  . j av a  2s. c  o m
    cap.set(4, 120);

    int meanValue = current;
    face = true;

    // Return current as meanValue if camera start fail
    if (!cap.isOpened()) {
        return meanValue;
    }

    capture10thFrame(cap, frame);

    // Calculate mean value of frame
    meanValue = meanCalculation(frame);

    // If the current value change in a extreme way
    // set it again
    if (control(meanValue)) {
        capture10thFrame(cap, frame);

        // Re-Calculate mean value of frame
        meanValue = meanCalculation(frame);
    }

    // Set true if someone's Face is detected
    face = probability.detectFace(frame, meanValue);

    // Release the camera for other programs
    cap.release();

    return meanValue;
}

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From source file:com.blogspot.thedsweb.engine.Brightness.java

License:Open Source License

private int meanCalculation(Mat rgb) {
    // Convert RGB to YcrCb for easier luminance calculation
    final Mat yCrCb = new Mat();
    Imgproc.cvtColor(rgb, yCrCb, Imgproc.COLOR_RGB2YCrCb);

    // Calculate luminance
    final Scalar mainMean = Core.mean(yCrCb);
    int meanLumaValue = (int) mainMean.val[0];

    // Test if backlit conditions are true
    if (!firstRun && backlitDetection(yCrCb, mainMean, meanLumaValue)) {
        Debug.LOG.log(Level.CONFIG, "Backlit detected.");
        backlit = true;//w  w w  .j  av a  2 s.  c om
        if (meanLumaValue < current) {
            meanLumaValue = current;
        }
    } else {
        backlit = false;
    }

    // Set the first run parameter to false so that the next time the mean
    // calculation method is called the backlit detection is also running
    if (firstRun) {
        firstRun = false;
    }

    // If the frame is completely black or white the camera must already in
    // use by another program
    if (meanLumaValue == 0) {
        meanLumaValue = current;
    }

    return meanLumaValue;
}

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From source file:com.carver.paul.truesight.ImageRecognition.ImageTools.java

License:Open Source License

public static Bitmap GetBitmapFromMat(Mat mat, boolean convertColor) {
    Bitmap bitmap = Bitmap.createBitmap(mat.cols(), mat.rows(), Bitmap.Config.ARGB_8888);
    if (convertColor) {
        Mat finalColourMat = new Mat();
        Imgproc.cvtColor(mat, finalColourMat, Imgproc.COLOR_BGR2RGB);
        matToBitmap(finalColourMat, bitmap);
    } else {/*from w w w. j  av  a 2  s .  c o  m*/
        matToBitmap(mat, bitmap);
    }

    return bitmap;
}

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From source file:com.carver.paul.truesight.ImageRecognition.ImageTools.java

License:Open Source License

public static Mat GetMatFromBitmap(Bitmap bitmap) {
    Mat mat = new Mat();
    bitmapToMat(bitmap, mat);/*from   www.  j  a  v a 2 s  .  c  o  m*/
    Imgproc.cvtColor(mat, mat, Imgproc.COLOR_RGB2BGR);
    return mat;
}

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From source file:com.carver.paul.truesight.ImageRecognition.RecognitionModel.java

License:Open Source License

public static List<Mat> findHeroTopLinesInImage(Mat photo, List<List<Integer>> colourRanges, int lowerHsvS,
        int lowerHsvV, int upperHsvS, int upperHsvV) {
    List<Mat> linesList = new ArrayList<>();
    int pos = 0;/*from   w  w  w  . java2s . co m*/
    int photoWidth = photo.width();

    for (List<Integer> colourRange : colourRanges) {
        int minX;
        int maxX;

        if (colourRanges.size() == 1) {
            minX = 0;
            maxX = photoWidth;
        } else {
            minX = pos * photoWidth / 6;
            maxX = (2 + pos) * photoWidth / 6;
        }

        Scalar lowerHsv = new Scalar(colourRange.get(0), lowerHsvS, lowerHsvV);
        Scalar upperHsv = new Scalar(colourRange.get(1), upperHsvS, upperHsvV);

        Mat subMat = photo.submat(0, photo.height() / 2, minX, maxX);
        Mat mask = new Mat();
        ImageTools.MaskAColourFromImage(subMat, lowerHsv, upperHsv, mask);

        Mat lines = new Mat();

        // note, this is the part that takes most time.
        ImageTools.getLineFromTopRectMask(mask, lines, photoWidth / 7); //USED TO BE 8!!!!

        adjustXPosOfLines(lines, minX);
        linesList.add(lines);

        //   Main.DrawMatInImageBox(mask, maskImage); // just for debug
        pos++;
    }

    return linesList;
}

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