Examples with Point org.opencv.core.Point used on opensource projects

Example 21 with Point

use of org.opencv.core.Point in project Relic_Main by TeamOverdrive.

the class Imgproc method floodFill.

// 
// C++:  int floodFill(Mat& image, Mat& mask, Point seedPoint, Scalar newVal, Rect* rect = 0, Scalar loDiff = Scalar(), Scalar upDiff = Scalar(), int flags = 4)
// 
// javadoc: floodFill(image, mask, seedPoint, newVal, rect, loDiff, upDiff, flags)
public static int floodFill(Mat image, Mat mask, Point seedPoint, Scalar newVal, Rect rect, Scalar loDiff, Scalar upDiff, int flags) {
    double[] rect_out = new double[4];
    int retVal = floodFill_0(image.nativeObj, mask.nativeObj, seedPoint.x, seedPoint.y, newVal.val[0], newVal.val[1], newVal.val[2], newVal.val[3], rect_out, loDiff.val[0], loDiff.val[1], loDiff.val[2], loDiff.val[3], upDiff.val[0], upDiff.val[1], upDiff.val[2], upDiff.val[3], flags);
    if (rect != null) {
        rect.x = (int) rect_out[0];
        rect.y = (int) rect_out[1];
        rect.width = (int) rect_out[2];
        rect.height = (int) rect_out[3];
    }
    return retVal;
}

Example 22 with Point

use of org.opencv.core.Point in project Relic_Main by TeamOverdrive.

the class Imgproc method phaseCorrelate.

// 
// C++:  Point2d phaseCorrelate(Mat src1, Mat src2, Mat window = Mat(), double* response = 0)
// 
// javadoc: phaseCorrelate(src1, src2, window, response)
public static Point phaseCorrelate(Mat src1, Mat src2, Mat window, double[] response) {
    double[] response_out = new double[1];
    Point retVal = new Point(phaseCorrelate_0(src1.nativeObj, src2.nativeObj, window.nativeObj, response_out));
    if (response != null)
        response[0] = (double) response_out[0];
    return retVal;
}

Example 23 with Point

use of org.opencv.core.Point in project Relic_Main by TeamOverdrive.

the class Converters method Mat_to_vector_Point.

public static void Mat_to_vector_Point(Mat m, List<Point> pts) {
    if (pts == null)
        throw new java.lang.IllegalArgumentException("Output List can't be null");
    int count = m.rows();
    int type = m.type();
    if (m.cols() != 1)
        throw new java.lang.IllegalArgumentException("Input Mat should have one column\n" + m);
    pts.clear();
    if (type == CvType.CV_32SC2) {
        int[] buff = new int[2 * count];
        m.get(0, 0, buff);
        for (int i = 0; i < count; i++) {
            pts.add(new Point(buff[i * 2], buff[i * 2 + 1]));
        }
    } else if (type == CvType.CV_32FC2) {
        float[] buff = new float[2 * count];
        m.get(0, 0, buff);
        for (int i = 0; i < count; i++) {
            pts.add(new Point(buff[i * 2], buff[i * 2 + 1]));
        }
    } else if (type == CvType.CV_64FC2) {
        double[] buff = new double[2 * count];
        m.get(0, 0, buff);
        for (int i = 0; i < count; i++) {
            pts.add(new Point(buff[i * 2], buff[i * 2 + 1]));
        }
    } else {
        throw new java.lang.IllegalArgumentException("Input Mat should be of CV_32SC2, CV_32FC2 or CV_64FC2 type\n" + m);
    }
}

Example 24 with Point

use of org.opencv.core.Point in project kifu-recorder by leonardost.

the class RegistrarPartidaActivity method processarCantosDoTabuleiro.

private void processarCantosDoTabuleiro() {
    posicaoDoTabuleiroNaImagem = new Mat(4, 1, CvType.CV_32FC2);
    posicaoDoTabuleiroNaImagem.put(0, 0, cantosDoTabuleiro[0], cantosDoTabuleiro[1], cantosDoTabuleiro[2], cantosDoTabuleiro[3], cantosDoTabuleiro[4], cantosDoTabuleiro[5], cantosDoTabuleiro[6], cantosDoTabuleiro[7]);
    Point[] cantos = new Point[4];
    cantos[0] = new Point(cantosDoTabuleiro[0], cantosDoTabuleiro[1]);
    cantos[1] = new Point(cantosDoTabuleiro[2], cantosDoTabuleiro[3]);
    cantos[2] = new Point(cantosDoTabuleiro[4], cantosDoTabuleiro[5]);
    cantos[3] = new Point(cantosDoTabuleiro[6], cantosDoTabuleiro[7]);
    contornoDoTabuleiro = new MatOfPoint(cantos);
}

Example 25 with Point

use of org.opencv.core.Point in project kifu-recorder by leonardost.

the class DetectorDeTabuleiro method detectarContornos.

private List<MatOfPoint> detectarContornos(Mat imagemComBordasEmEvidencia) {
    // Os contornos delimitados pelas linhas são encontrados
    List<MatOfPoint> contornos = new ArrayList<>();
    Mat hierarquia = new Mat();
    Imgproc.findContours(imagemComBordasEmEvidencia, contornos, hierarquia, Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE, new Point(0, 0));
    Log.d("kifu-recorder", "Número de contornos encontrados: " + contornos.size());
    // Remove os contornos muito pequenos, que provavelmente são ruído
    for (Iterator<MatOfPoint> it = contornos.iterator(); it.hasNext(); ) {
        MatOfPoint contorno = it.next();
        // O ideal seria fazer isto aqui como uma razão sobre a área da imagem
        if (Imgproc.contourArea(contorno) < 700) {
            it.remove();
        }
    }
    // A imagem é convertida para um formato colorido novamente
    Imgproc.cvtColor(imagemComBordasEmEvidencia, imagem, Imgproc.COLOR_GRAY2BGR, 4);
    imagemComBordasEmEvidencia.release();
    return contornos;
}