Example usage for org.opencv.core Point Point

List of usage examples for org.opencv.core Point Point

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Introduction

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

Prototype

public Point(double x, double y)

Source Link

Usage

From source file:Reconhecimento.SaltoSegmentacaoCirculo.java

private static Point segmentarCirculo(Mat img) {
    Mat grayImg = new Mat();
    Mat circles = new Mat();
    Mat element = new Mat();

    Imgproc.cvtColor(img, grayImg, Imgproc.COLOR_BGR2GRAY);

    // filtro da mediana
    Imgproc.medianBlur(grayImg, grayImg, 5);

    // transformada circular de hough
    Imgproc.HoughCircles(grayImg, circles, Imgproc.CV_HOUGH_GRADIENT, 1, 100, 220, 17, 5, 10);

    Point centro = new Point(0, 0);
    Point center;/* w  ww . j a  v a2  s.c  o m*/

    for (int x = 0; x < circles.cols(); x++) {
        double vCircle[] = circles.get(0, x);

        center = new Point(Math.round(vCircle[0]), Math.round(vCircle[1]));

        // pegar o circulo mais embaixo
        if (centro.y < center.y) {
            centro = center.clone();
        }

        int radius = (int) Math.round(vCircle[2]);

        Core.circle(img, center, radius, new Scalar(0, 0, 255), 3, 8, 0);
    }
    return centro;
}

From source file:rfea.ProcesarImagen.java

public void DetectarRostro() {
    System.out.println("\nDetectando rostros");

    // Create a face detector from the cascade file in the resources
    // directory.

    // System.out.println(rutaDe("/recursos/haarcascade_frontalface_alt.xml"));
    CascadeClassifier faceDetector = new CascadeClassifier(rutaDe("/recursos/haarcascade_frontalface_alt.xml"));

    //// w  ww.j av a 2 s.  com

    image = Highgui.imread(imagenEntrada);
    Mat temp = new Mat();
    Imgproc.cvtColor(image, temp, Imgproc.COLOR_BGRA2GRAY, 0);
    Mat temp_rgba = new Mat();
    Imgproc.cvtColor(temp, temp_rgba, Imgproc.COLOR_GRAY2BGRA, 0);
    temp_rgba.copyTo(image);
    temp.copyTo(image);
    equalizeHist(image, image);

    tmp = image;
    //    

    // Detect faces in the image.
    // MatOfRect is a special container class for Rect.
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);
    contRostros = faceDetections.toArray().length;
    if (contRostros < 1) {
        System.out
                .println("No se an detectado rostros, profavor acerquese a la camara en una posicion adecuada");
        return;
    } else if (contRostros > 1) {
        System.out.println("se dectactaron mas de 1 rostros, seleecione 1 para evaluar");
        for (int i = 0; i < faceDetections.toArray().length; i++) {

            roiRostro = faceDetections.toArray()[i];
            Core.rectangle(image, new Point(roiRostro.x, roiRostro.y),
                    new Point(roiRostro.x + roiRostro.width, roiRostro.y + roiRostro.height),
                    new Scalar(0, 255, 0));
        }
        Principal.setRostro(image);
        new SeleccionImg().setVisible(true);

    } else {

        System.out.println(String.format("%s rostro Detectado, en la iteracion: " + cont,
                faceDetections.toArray().length));

        // Draw a bounding box around each face.
        //for (Rect roiRostro : faceDetections.toArray()) {
        for (int i = 0; i < faceDetections.toArray().length; i++) {

            roiRostro = faceDetections.toArray()[i];
            Core.rectangle(image, new Point(roiRostro.x, roiRostro.y),
                    new Point(roiRostro.x + roiRostro.width, roiRostro.y + roiRostro.height),
                    new Scalar(0, 255, 0));
        }

        // Save the visualized detection.
        String filename = imagenSalida;
        System.out.println(String.format("Guardado %s", filename));
        Highgui.imwrite(filename, image);
        recortarRostro();
        this.detectarOjos();
        this.detectarNariz();
        detectarBoca();
    }

}

From source file:rfea.ProcesarImagen.java

public void detectarOjos() {
    System.out.println("\nDetectando Ojos");

    // Create a face detector from the cascade file in the resources
    // directory.

    //System.out.println(rutaDe("/recursos/haarcascade_eye_tree_eyeglasses.xml"));
    //CascadeClassifier faceDetector = new CascadeClassifier(rutaDe("/recursos/haarcascade_eye.xml"));
    CascadeClassifier faceDetector = new CascadeClassifier(rutaDe("/recursos/haarcascade_eye.xml"));

    ///*from w w  w .ja  v  a 2  s . c o  m*/

    //    image = Highgui.imread(imagenEntrada);
    tmp = null;
    tmp = imgRostro.clone();

    //    

    //vector<Rect> leftEye, rightEye;

    int leftX = (int) Math.round(tmp.cols() * EYE_SX);
    int topY = (int) Math.round(tmp.rows() * EYE_SY);
    int widthX = (int) Math.round(tmp.cols() * EYE_SW);
    int heightY = (int) Math.round(tmp.rows() * EYE_SH);
    int rightX = (int) Math.round(tmp.cols() * (1.0 - EYE_SX - EYE_SW));
    //Mat topLeftOfFace = tmp.clone().submat(new Rect(leftX, topY, widthX, heightY));
    //Mat topRightOfFace = tmp.clone().submat(new Rect(rightX, topY, widthX, heightY));
    //Imgproc.cvGetSize();
    System.out.println("columnas: " + tmp.cols() + " filas: " + tmp.rows());
    System.out.println("leftx: " + leftX + " topy: " + topY + " anchox: " + widthX + " alto: " + heightY
            + " rightx" + rightX);
    Mat topLeftOfFace = tmp.clone().submat(new Rect(leftX, topY, widthX, heightY));
    Mat topRightOfFace = tmp.clone().submat(new Rect(rightX, topY, widthX, heightY));

    // Detect faces in the image.
    // MatOfRect is a special container class for Rect.
    MatOfRect deteccionOjos = new MatOfRect();
    faceDetector.detectMultiScale(topLeftOfFace, deteccionOjos);
    faceDetector.detectMultiScale(topRightOfFace, deteccionOjos);
    contRostros = deteccionOjos.toArray().length;
    if (contRostros < 1 && cont < 3) {
        cont++;
        detectarOjos();
        return;
    }

    System.out.println(
            String.format("%s ojos Detectado, en la iteracion: " + cont, deteccionOjos.toArray().length));

    // Draw a bounding box around each face.
    //for (Rect roiRostro : faceDetections.toArray()) {
    for (int i = 0; i < deteccionOjos.toArray().length; i++) {

        roiOjos[i] = deteccionOjos.toArray()[i];
        switch (i) {
        case 0:
            Core.rectangle(topLeftOfFace, new Point(roiOjos[i].x, roiOjos[i].y),
                    new Point(roiOjos[i].x + roiOjos[i].width, roiOjos[i].y + roiOjos[i].height),
                    new Scalar(0, 255, 0));
            Core.rectangle(tmp, new Point(roiOjos[i].x + leftX, roiOjos[i].y + topY),
                    new Point(roiOjos[i].x + roiOjos[i].width + leftX, roiOjos[i].y + roiOjos[i].height + topY),
                    new Scalar(0, 255, 0));
            String filename = "ojos_0.png";
            System.out.println(String.format("Guardado %s", filename));
            Highgui.imwrite(filename, topLeftOfFace);
            break;
        case 1:
            Core.rectangle(topRightOfFace, new Point(roiOjos[i].x - (roiOjos[i].width / 2), roiOjos[i].y),
                    new Point(roiOjos[i].x + roiOjos[i].width, roiOjos[i].y + roiOjos[i].height),
                    new Scalar(0, 255, 0));
            Core.rectangle(tmp, new Point(roiOjos[i].x + rightX - (roiOjos[i].width / 2), roiOjos[i].y + topY),
                    new Point(roiOjos[i].x + roiOjos[i].width + rightX - (roiOjos[i].width / 2),
                            roiOjos[i].y + roiOjos[i].height + topY),
                    new Scalar(0, 255, 0));

            filename = "ojos_1.png";
            System.out.println(String.format("Guardado %s", filename));
            Highgui.imwrite(filename, topRightOfFace);
        default:

        }

    }

    // Save the visualized detection.
    String filename = "ojos.png";
    System.out.println(String.format("Guardado %s", filename));
    Highgui.imwrite(filename, tmp);
    // recortaOjos();

}

From source file:rfea.ProcesarImagen.java

public void detectarBoca() {//haarcascade_mcs_nose.xml
    System.out.println("\nDetectando Boca");
    int contboc = 0;

    // Create a face detector from the cascade file in the resources
    // directory.

    //System.out.println(rutaDe("/recursos/haarcascade_eye.xml"));
    CascadeClassifier faceDetector = new CascadeClassifier(rutaDe("/recursos/haarcascade_mcs_mouth.xml"));

    ///*w  w  w. j  av a 2 s. c  om*/

    //    image = Highgui.imread(imagenEntrada);
    tmp = null;
    tmp = imgRostro.clone();
    /*int bX,bY,bTopX,bTopY;
    int startX = (int)Math.round(tmp.cols() * 0.25);
    int startY = (int)Math.round((tmp.rows()/2) + (tmp.rows()/2)*0.25);
    int widthX = (int)Math.round(tmp.cols() - startX);
    int heightY = (int)Math.round(tmp.rows() - (tmp.rows()/2)*0.25);
    System.out.println("columnas: "+tmp.cols()+" filas: "+tmp.rows());
    System.out.println("ancho: "+tmp.width()+" filas: "+tmp.height());
    System.out.println("x: "+startX+" y: "+startY+" anchox: "+widthX+" alto: "+heightY);
    Mat regionBoca = tmp.clone().submat(startX, startY, widthX, heightY);*/
    //    

    // Detect faces in the image.
    // MatOfRect is a special container class for Rect.
    MatOfRect deteccionBoca = new MatOfRect();
    faceDetector.detectMultiScale(tmp, deteccionBoca);
    contRostros = deteccionBoca.toArray().length;

    // Draw a bounding box around each face.
    //for (Rect roiRostro : faceDetections.toArray()) {
    for (int i = 0; i < deteccionBoca.toArray().length; i++) {

        if (deteccionBoca.toArray()[i].y > tmp.height() + (tmp.height() / 2)) {//tomala boca detectada en la region dela itad de la cara hacia abajo
            roiBoca = deteccionBoca.toArray()[i];
            contboc++;
            Core.rectangle(tmp, new Point(roiBoca.x, roiBoca.y),
                    new Point(roiBoca.x + roiBoca.width, roiBoca.y + roiBoca.height), new Scalar(0, 255, 0));
        }
    }
    System.out.println(String.format("%s Boca procesada, en la iteracion: " + cont, contboc));

    // Save the visualized detection.
    String filename = "boca.png";
    System.out.println(String.format("Guardado %s", filename));
    Highgui.imwrite(filename, tmp);
    recortaBoca();

}

From source file:rfea.ProcesarImagen.java

public void detectarNariz() {//
    System.out.println("\nDetectando Nariz");
    int contnar = 0;

    // Create a face detector from the cascade file in the resources
    // directory.

    //System.out.println(rutaDe("/recursos/haarcascade_eye.xml"));
    CascadeClassifier faceDetector = new CascadeClassifier(rutaDe("/recursos/haarcascade_mcs_nose.xml"));

    ///*from   w ww. j a  va2s . c om*/

    //    image = Highgui.imread(imagenEntrada);
    tmp = null;
    tmp = imgRostro.clone();

    //    

    // Detect faces in the image.
    // MatOfRect is a special container class for Rect.
    MatOfRect detectarNariz = new MatOfRect();
    faceDetector.detectMultiScale(tmp, detectarNariz);
    contRostros = detectarNariz.toArray().length;
    if (contRostros < 1 && cont < 3) {
        cont++;
        detectarOjos();
        return;
    }

    // Draw a bounding box around each face.
    //for (Rect roiRostro : faceDetections.toArray()) {
    for (int i = 0; i < detectarNariz.toArray().length; i++) {

        roiNariz = detectarNariz.toArray()[i];
        if (roiNariz.y > tmp.height() / 4) {//tomala boca detectada en la region del centro de la cara hacia abajo
            contnar++;
            Core.rectangle(tmp, new Point(roiNariz.x, roiNariz.y),
                    new Point(roiNariz.x + roiNariz.width, roiNariz.y + roiNariz.height),
                    new Scalar(0, 255, 0));
        }
    }
    System.out.println(String.format("%s Nariz Detectado, en la iteracion: " + cont, contnar));

    // Save the visualized detection.
    String filename = "nariz.png";
    System.out.println(String.format("Guardado %s", filename));
    Highgui.imwrite(filename, tmp);
    recortaNariz();

}

From source file:rfea.ProcesarImagen.java

public void recortarRostro() {
    System.out.println("\nRecortando rostro");
    //cortar la imagen
    Rect roi = new Rect(new Point(roiRostro.x + 1, roiRostro.y + 1),
            new Point(roiRostro.x + roiRostro.width, roiRostro.y + roiRostro.height));

    //apilcanco cany
    //Imgproc.Canny(imgRostro, imgRostro, 80, 90);
    /*Mat gris=new Mat(tmp.width(),tmp.height(),tmp.type());
    Mat blur=new Mat(tmp.width(),tmp.height(),tmp.type());
    Mat canny = new Mat(tmp.width(),tmp.height(),tmp.type());
    Imgproc.cvtColor(tmp, gris, Imgproc.COLOR_RGB2GRAY);
    Size s = new Size(3,3);//  www .  ja  v a 2  s  . c  o m
    int min_threshold=30;
    float ratio = 1.1f;
    Imgproc.blur(gris, blur,s);
    Imgproc.Canny(blur, canny, min_threshold,min_threshold*ratio);
    canny.copyTo(tmp);*/
    imgRostro = tmp.submat(roi);//region de interes

    //cvShowImage("Lena Image", src);
    // Save the visualized detection.
    String filename = "rostro.png";
    System.out.println(String.format("Guardado %s", filename));
    Highgui.imwrite(filename, imgRostro);
}

From source file:rfea.ProcesarImagen.java

public void recortaOjos() {
    System.out.println("\nRecortando Ojos");

    for (int i = 0; i < 2; i++) {
        //cortar la imagen
        Rect roi = new Rect(new Point(roiOjos[i].x + 1, roiOjos[i].y + 1),
                new Point(roiOjos[i].x + roiOjos[i].width, roiOjos[i].y + roiOjos[i].height));
        tmp = imgRostro.clone().submat(roi);//region de interes
        //cvShowImage("Lena Image", src);
        // Save the visualized detection.

        String filename = "Ojos_d" + (i + 1) + ".png";
        System.out.println(String.format("Guardado %s", filename));
        Highgui.imwrite(filename, tmp);/*from   w  w  w  . ja  v  a 2 s  .co  m*/
    }
}

From source file:rfea.ProcesarImagen.java

public void recortaNariz() {
    System.out.println("\nRecortando Nariz");
    //cortar la imagen
    Rect roi = new Rect(new Point(roiNariz.x + 1, roiNariz.y + 1),
            new Point(roiNariz.x + roiNariz.width, roiNariz.y + roiNariz.height));
    tmp = imgRostro.clone().submat(roi);//region de interes
    //cvShowImage("Lena Image", src);
    // Save the visualized detection.            

    String filename = "Nariz_d.png";
    System.out.println(String.format("Guardado %s", filename));
    Highgui.imwrite(filename, tmp);//from  ww w .  j  a  va 2 s  . co m

}

From source file:rfea.ProcesarImagen.java

public void recortaBoca() {
    System.out.println("\nRecortando Boca");
    //cortar la imagen
    Rect roi = new Rect(new Point(roiBoca.x + 1, roiBoca.y + 1),
            new Point(roiBoca.x + roiBoca.width, roiBoca.y + roiBoca.height));
    tmp = imgRostro.clone().submat(roi);//region de interes
    //cvShowImage("Lena Image", src);
    // Save the visualized detection.            

    String filename = "Boca_d.png";
    System.out.println(String.format("Guardado %s", filename));
    Highgui.imwrite(filename, tmp);//  w ww  .  ja va2s.  c o m

}

From source file:samples.DetectFaceDemo.java

public void run() {
    System.out.println("\nRunning DetectFaceDemo");

    // Create a face detector from the cascade file in the resources
    // directory.
    CascadeClassifier faceDetector = new CascadeClassifier("lbpcascade_frontalface.xml");
    Mat image = Imgcodecs.imread("lena1.png");

    // Detect faces in the image.
    // MatOfRect is a special container class for Rect.
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);

    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

    // Draw a bounding box around each face.
    int i = 0;//from w w w. ja va2s .com
    for (Rect rect : faceDetections.toArray()) {
        Mat croped = new Mat(image, rect);
        Imgcodecs.imwrite("face" + (++i) + ".png", croped);
        Imgproc.rectangle(image, new Point(rect.x, rect.y),
                new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));

    }

    // Save the visualized detection.
    String filename = "faceDetection.png";
    System.out.println(String.format("Writing %s", filename));
    Imgcodecs.imwrite(filename, image);
}