Example usage for org.opencv.core Mat clone

Introduction

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

Prototype

public Mat clone() 

Source Link

Usage

From source file:frmMain.java

/**
 * Creates new form frmMain/*from   www.  jav a 2s. com*/
 */
public frmMain() {
    initComponents();

    File imageFile = new File("D:\\1.jpg");
    //
    System.loadLibrary("opencv_java2412");
    //Opencv ti?n x l
    Mat gray = Highgui.imread(imageFile.getAbsolutePath(), IMREAD_GRAYSCALE);
    Mat result_threholds = gray.clone();
    adaptiveThreshold(gray, result_threholds, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, 40);
    frmMain.showResult(result_threholds);
    //Tch OCR
    ITesseract instance = new Tesseract(); // JNA Interface Mapping
    // ITesseract instance = new Tesseract1(); // JNA Direct Mapping
    // instance.setDatapath("<parentPath>"); // replace <parentPath> with path to parent directory of tessdata
    instance.setLanguage("eng");

    try {
        String result = instance.doOCR(imageFile);
        jTextArea1.setText(result);
    } catch (TesseractException e) {
        System.err.println(e.getMessage());
    }
}

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From source file:app.GUI2.java

/**
 * this function preproces image to draw helper figures on top of image and
 * then calls updateView()/*  w  ww.java 2s .c  o m*/
 */
private void updateDrawings(Mat unprocesedImage) {
    try {
        image = unprocesedImage.clone();
        // draw Points as circles
        if (pointA1 != null) {
            Imgproc.circle(image, pointA1, 10, new Scalar(0, 0, 128), 2);
        }
        if (pointA2 != null) {
            Imgproc.circle(image, pointA2, 10, new Scalar(0, 0, 255), 2);
        }
        if (pointB1 != null) {
            Imgproc.circle(image, pointB1, 10, new Scalar(128, 0, 0), 2);
        }
        if (pointB2 != null) {
            Imgproc.circle(image, pointB2, 10, new Scalar(255, 0, 0), 2);
        }
        // draw rectangles of selected circles
        if (pointA1 != null & pointA2 != null) {
            Imgproc.rectangle(image, pointA1, pointA2, new Scalar(0, 0, 255), 2);
        }
        if (pointB1 != null & pointB2 != null) {
            Imgproc.rectangle(image, pointB1, pointB2, new Scalar(255, 0, 0), 2);
        }

        updateView(image);
    } catch (Exception e) {
        System.err.println("Tryied to Draw without loading image" + e);
    }

}

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From source file:at.ac.tuwien.caa.docscan.camera.CameraPreview.java

License:Open Source License

private void checkMovementAfterCapture(byte[] pixels) {

    long timePassed = System.currentTimeMillis() - mVerificationTime;
    if (timePassed <= VERIFICATION_TIME_DIFF) {

        Mat mat = byte2Mat(pixels);

        ChangeCallable cCallable = new ChangeCallable(mat.clone(), mCVCallback, mTimerCallbacks);
        mCVThreadManager.addCallable(cCallable, CVThreadManager.TASK_CHANGE);
        boolean isSteady = mCVThreadManager.isFrameSteadyAndNew();
        if (!isSteady)
            mVerifyCapture = false;/* w  ww  .ja v a2s  .  c om*/
        return;

    } else {
        mVerifyCapture = false;
        mCVCallback.onCaptureVerified();
        return;
    }

}

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From source file:at.ac.tuwien.caa.docscan.camera.CameraPreview.java

License:Open Source License

private void performCVTasks(byte[] pixels) {

    long currentTime = System.currentTimeMillis();

    if (currentTime - mLastTime >= FRAME_TIME_DIFF) {

        //        if (true) {
        Mat mat = byte2Mat(pixels);

        if (mStoreMat) {
            ChangeDetector.initMovementDetector(mat);
            ChangeDetector.initNewFrameDetector(mat);
            mStoreMat = false;//from   w w w  .j av  a2 s .c  om
        } else if (!ChangeDetector.isMovementDetectorInitialized()) {
            ChangeDetector.initMovementDetector(mat);
        }

        boolean processFrame = true;
        // In serial mode the document analysis is just performed if no movement occurred:
        if (mAwaitFrameChanges) {
            if (!mCVThreadManager.isRunning(CVThreadManager.TASK_CHANGE)) {
                ChangeCallable cCallable = new ChangeCallable(mat.clone(), mCVCallback, mTimerCallbacks);
                mCVThreadManager.addCallable(cCallable, CVThreadManager.TASK_CHANGE);
                processFrame = mCVThreadManager.isFrameSteadyAndNew();
            }
        }

        if (processFrame) {

            mTimerCallbacks.onTimerStarted(TaskTimer.TaskType.MOVEMENT_CHECK);
            Mat mat2 = mat.clone();
            mTimerCallbacks.onTimerStopped(TaskTimer.TaskType.MOVEMENT_CHECK);

            if (!mCVThreadManager.isRunning(CVThreadManager.TASK_PAGE)) {
                PageCallable pCallable = new PageCallable(mat.clone(), mCVCallback, mTimerCallbacks, mFrameCnt);
                mCVThreadManager.addCallable(pCallable, CVThreadManager.TASK_PAGE);
            }

            if (mMeasureFocus && !mCVThreadManager.isRunning(CVThreadManager.TASK_FOCUS)) {
                FocusCallable fCallable = new FocusCallable(mat.clone(), mCVCallback, mTimerCallbacks);
                mCVThreadManager.addCallable(fCallable, CVThreadManager.TASK_FOCUS);
            }

            if (mAwaitFrameChanges)
                mVerificationTime = System.currentTimeMillis();

        }

        mat.release();

        mLastTime = currentTime;

    }

}

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From source file:Clases.Analizador.java

public BufferedImage analizarCatarata(Mat img) {
    double[] pupila = segmentador.segmentarPupila(img);
    double[] clase = { 99.8125, 150.7500, 150.8125 };
    double areaPupila = Math.PI * Math.pow(pupila[2], 2);
    int acumulador = 0;
    //Core.circle(img, new Point(pupila[0], pupila[1]), (int) pupila[2], new Scalar(255, 0, 0), 3);
    //Ventana v1 = new Ventana(convertir(max), 1, 0);
    //Ventana v2 = new Ventana(convertir(img), 3, 0);
    Size sizeA = img.size();//w w w .j a  va  2  s  .com
    Mat max = img.clone();

    double[] data;
    for (int i = 0; i < sizeA.height; i++) {
        for (int j = 0; j < sizeA.width; j++) {
            if ((Math.pow(pupila[0] - j, 2) + Math.pow(pupila[1] - i, 2) <= Math.pow(pupila[2], 2))) {
                data = img.get(i, j);
                double res = Math.sqrt(Math.pow(clase[0] - data[2], 2) + Math.pow(clase[1] - data[1], 2)
                        + Math.pow(clase[2] - data[0], 2));
                if (res < 60) {
                    data[0] = 0;
                    data[1] = 255;
                    data[2] = 0;
                    acumulador++;
                }
                max.put(i, j, data);
            }
        }
    }
    resultadoCatarata = (acumulador * 100) / areaPupila;
    resultadoCatarata = (double) ((int) (resultadoCatarata * 100.00) / 100);
    //Core.circle(imagen, new Point(pupila[0], pupila[1]), (int) pupila[2], new Scalar(255, 0, 0), 3);
    //Ventana v1 = new Ventana(segmentador.convertir(max), 0, 0);
    //Ventana v2 = new Ventana(convertir(imagen), 2, 0);
    return segmentador.Mat2BufferedImage(max);
}

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From source file:Clases.Analizador.java

public BufferedImage analizarMelanoma(Mat img) {
    int totalP, areaM, tamImg = img.width() * img.height();
    Mat imagenCopia = img.clone();
    Mat imagenCopia1 = img.clone();/*from w  ww.  j  av  a  2  s .  c o m*/
    img = segmentador.dameLaDona(img);
    Mat img2 = segmentador.dameLaDona(imagenCopia);
    img2 = segmentador.descompCanImg(img2, 1);
    img2 = segmentador.umbralizarImg(img2, 254, 255);

    img = segmentador.blurearImg(img, 25);
    img = segmentador.descompCanImg(img, 1);
    //Ventana v = new Ventana(convertir(img2), 0, 0);
    totalP = tamImg - countNonZero(img2);

    img = segmentador.umbralizarImg(img, 30, 150);
    img = segmentador.umbralizarImg(img, 0, 255);
    areaM = tamImg - countNonZero(img);
    resultadoMelanoma = (areaM * 100) / (double) totalP;
    resultadoMelanoma = (double) ((int) (resultadoMelanoma * 100.00) / 100);
    System.out.println("El area afectada por melanoma es: " + resultadoMelanoma + "%");
    System.out.println("El area de iris abarca: " + totalP);
    System.out.println("El total de pixeles es: " + tamImg);
    addWeighted(segmentador.descompCanImg(imagenCopia1, 2), 1, img, 0.3, 0.0, img);
    //Ventana v1 = new Ventana(segmentador.convertir(img), 1, 0);

    return segmentador.Mat2BufferedImage(img);
}

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From source file:Clases.Segmentador.java

public Mat dameLaDona(Mat img1) {
    double[] iris = segmentarIris(img1);
    double[] pupila = segmentarPupila(img1);

    Size sizeA = img1.size();/*www  . j a  v a 2  s  . c  o m*/
    Mat max = img1.clone();

    double[] data;
    for (int i = 0; i < sizeA.height; i++) {
        for (int j = 0; j < sizeA.width; j++) {
            if ((Math.pow(iris[0] - j, 2) + Math.pow(iris[1] - i, 2) >= Math.pow(iris[2], 2))
                    || (Math.pow(pupila[0] - j, 2) + Math.pow(pupila[1] - i, 2) <= Math.pow(pupila[2], 2))) {
                data = img1.get(i, j);
                data[0] = 255;
                data[1] = 255;
                data[2] = 255;
                max.put(i, j, data);
            }

        }
    }
    return max;
}

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From source file:Clases.Segmentador.java

public Mat limitaIris(Mat img1) {

    double[] iris = segmentarIris(img1);
    iris[2] = iris[2] * 0.8;/*from   w  ww  .j a  va2s  .c  o  m*/
    Size sizeA = img1.size();
    Mat max = img1.clone();

    double[] data;
    for (int i = 0; i < sizeA.height; i++) {
        for (int j = 0; j < sizeA.width; j++) {
            if ((Math.pow(iris[0] - j, 2) + Math.pow(iris[1] - i, 2) >= Math.pow(iris[2], 2))) {
                data = img1.get(i, j);
                data[0] = 255;
                data[1] = 255;
                data[2] = 255;
                max.put(i, j, data);
            }

        }
    }
    return max;
}

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From source file:Clases.Segmentador.java

public Mat eriosionarImg(Mat umbralizada) {
    Mat dste = umbralizada.clone();
    int erosion_size = 5;
    Size s = new Size(2 * erosion_size + 1, 2 * erosion_size + 1);
    Point p = new Point(erosion_size, erosion_size);
    Mat element = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, s, p);
    Imgproc.erode(umbralizada, dste, element);
    return dste;/*from  w  ww . j  a  v a  2s.  c om*/
}

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From source file:Clases.Segmentador.java

public Mat dilatarImg(Mat umbralizada) {
    Mat dstd = umbralizada.clone();
    int dilatacion_size = 5;
    Size sd = new Size(2 * dilatacion_size + 1, 2 * dilatacion_size + 1);
    Point pd = new Point(dilatacion_size, dilatacion_size);
    Mat elementd = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, sd, pd);
    Imgproc.dilate(umbralizada, dstd, elementd);
    return dstd;/*w  w w.  ja  v  a2 s  .  c  o  m*/
}

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