Example usage for org.opencv.core MatOfDMatch size

Introduction

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

Prototype

public Size size() 

Source Link

Usage

From source file:View.Signature.java

public static int sift(String routeVal, String route, String n_img1, String n_img2, String extension) {

    String bookObject = routeVal + n_img2 + extension;
    String bookScene = route + n_img1 + extension;

    //System.out.println("Iniciando SIFT");
    //java.lang.System.out.print("Abriendo imagenes | ");
    Mat objectImage = Highgui.imread(bookObject, Highgui.CV_LOAD_IMAGE_COLOR);
    Mat sceneImage = Highgui.imread(bookScene, Highgui.CV_LOAD_IMAGE_COLOR);

    MatOfKeyPoint objectKeyPoints = new MatOfKeyPoint();
    FeatureDetector featureDetector = FeatureDetector.create(FeatureDetector.SIFT);
    //java.lang.System.out.print("Encontrar keypoints con SIFT | ");  
    featureDetector.detect(objectImage, objectKeyPoints);
    KeyPoint[] keypoints = objectKeyPoints.toArray();

    MatOfKeyPoint objectDescriptors = new MatOfKeyPoint();
    DescriptorExtractor descriptorExtractor = DescriptorExtractor.create(DescriptorExtractor.SIFT);
    //java.lang.System.out.print("Computando descriptores | ");  
    descriptorExtractor.compute(objectImage, objectKeyPoints, objectDescriptors);

    // Create the matrix for output image.   
    Mat outputImage = new Mat(objectImage.rows(), objectImage.cols(), Highgui.CV_LOAD_IMAGE_COLOR);
    Scalar newKeypointColor = new Scalar(255, 0, 0);

    //java.lang.System.out.print("Dibujando keypoints en imagen base | ");  
    Features2d.drawKeypoints(objectImage, objectKeyPoints, outputImage, newKeypointColor, 0);

    // Match object image with the scene image  
    MatOfKeyPoint sceneKeyPoints = new MatOfKeyPoint();
    MatOfKeyPoint sceneDescriptors = new MatOfKeyPoint();
    //java.lang.System.out.print("Detectando keypoints en imagen base | ");
    featureDetector.detect(sceneImage, sceneKeyPoints);
    //java.lang.System.out.print("Computando descriptores en imagen base | ");
    descriptorExtractor.compute(sceneImage, sceneKeyPoints, sceneDescriptors);

    Mat matchoutput = new Mat(sceneImage.rows() * 2, sceneImage.cols() * 2, Highgui.CV_LOAD_IMAGE_COLOR);
    Scalar matchestColor = new Scalar(0, 255, 0);

    List<MatOfDMatch> matches = new LinkedList<MatOfDMatch>();
    DescriptorMatcher descriptorMatcher = DescriptorMatcher.create(DescriptorMatcher.FLANNBASED);
    //java.lang.System.out.print("Encontrando matches entre imagenes | ");  
    descriptorMatcher.knnMatch(objectDescriptors, sceneDescriptors, matches, 2);

    //java.lang.System.out.println("Calculando buenos matches");
    LinkedList<DMatch> goodMatchesList = new LinkedList<DMatch>();

    float nndrRatio = 0.7f;
    java.lang.System.out.println(matches.size());
    for (int i = 0; i < matches.size(); i++) {
        MatOfDMatch matofDMatch = matches.get(i);
        DMatch[] dmatcharray = matofDMatch.toArray();
        DMatch m1 = dmatcharray[0];//from w ww .j  a v  a2 s .com
        DMatch m2 = dmatcharray[1];

        if (m1.distance <= m2.distance * nndrRatio) {
            goodMatchesList.addLast(m1);

        }
    }

    if (goodMatchesList.size() >= 7) {
        //java.lang.System.out.println("Match enontrado!!! Matches: "+goodMatchesList.size());
        //if(goodMatchesList.size()>max){

        //cambio = 1;
        //}    

        List<KeyPoint> objKeypointlist = objectKeyPoints.toList();
        List<KeyPoint> scnKeypointlist = sceneKeyPoints.toList();

        LinkedList<Point> objectPoints = new LinkedList<>();
        LinkedList<Point> scenePoints = new LinkedList<>();

        for (int i = 0; i < goodMatchesList.size(); i++) {
            objectPoints.addLast(objKeypointlist.get(goodMatchesList.get(i).queryIdx).pt);
            scenePoints.addLast(scnKeypointlist.get(goodMatchesList.get(i).trainIdx).pt);
        }

        MatOfPoint2f objMatOfPoint2f = new MatOfPoint2f();
        objMatOfPoint2f.fromList(objectPoints);
        MatOfPoint2f scnMatOfPoint2f = new MatOfPoint2f();
        scnMatOfPoint2f.fromList(scenePoints);

        Mat homography = Calib3d.findHomography(objMatOfPoint2f, scnMatOfPoint2f, Calib3d.RANSAC, 3);

        Mat obj_corners = new Mat(4, 1, CvType.CV_32FC2);
        Mat scene_corners = new Mat(4, 1, CvType.CV_32FC2);

        obj_corners.put(0, 0, new double[] { 0, 0 });
        obj_corners.put(1, 0, new double[] { objectImage.cols(), 0 });
        obj_corners.put(2, 0, new double[] { objectImage.cols(), objectImage.rows() });
        obj_corners.put(3, 0, new double[] { 0, objectImage.rows() });

        //System.out.println("Transforming object corners to scene corners...");  
        Core.perspectiveTransform(obj_corners, scene_corners, homography);

        Mat img = Highgui.imread(bookScene, Highgui.CV_LOAD_IMAGE_COLOR);

        Core.line(img, new Point(scene_corners.get(0, 0)), new Point(scene_corners.get(1, 0)),
                new Scalar(0, 255, 0), 4);
        Core.line(img, new Point(scene_corners.get(1, 0)), new Point(scene_corners.get(2, 0)),
                new Scalar(0, 255, 0), 4);
        Core.line(img, new Point(scene_corners.get(2, 0)), new Point(scene_corners.get(3, 0)),
                new Scalar(0, 255, 0), 4);
        Core.line(img, new Point(scene_corners.get(3, 0)), new Point(scene_corners.get(0, 0)),
                new Scalar(0, 255, 0), 4);

        //java.lang.System.out.println("Dibujando imagen de coincidencias");
        MatOfDMatch goodMatches = new MatOfDMatch();
        goodMatches.fromList(goodMatchesList);

        Features2d.drawMatches(objectImage, objectKeyPoints, sceneImage, sceneKeyPoints, goodMatches,
                matchoutput, matchestColor, newKeypointColor, new MatOfByte(), 2);
        String n_outputImage = route + "results\\" + n_img2 + "_outputImage_sift" + extension;
        String n_matchoutput = route + "results\\" + n_img2 + "_matchoutput_sift" + extension;
        String n_img = route + "results\\" + n_img2 + "_sift" + extension;
        Highgui.imwrite(n_outputImage, outputImage);
        Highgui.imwrite(n_matchoutput, matchoutput);
        //Highgui.imwrite(n_img, img);  
        java.lang.System.out.println(goodMatches.size().height);
        double result = goodMatches.size().height * 100 / matches.size();

        java.lang.System.out.println((int) result);
        //double result =goodMatches.size().height;
        if (result > 100) {
            return 100;
        } else if (result <= 100 && result > 85) {
            return 85;
        } else if (result <= 85 && result > 50) {
            return 50;
        } else if (result <= 50 && result > 25) {
            return 25;
        } else {
            return 0;
        }
    } else {
        //java.lang.System.out.println("Firma no encontrada");  
    }
    return 0;
    //System.out.println("Terminando SIFT");  
}

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From source file:View.SignatureLib.java

public static int sift(String routeRNV, String routeAdherent) {

    String bookObject = routeAdherent;
    String bookScene = routeRNV;/*from   w w  w.  j  av a  2 s  .  co  m*/

    //System.out.println("Iniciando SIFT");
    //java.lang.System.out.print("Abriendo imagenes | ");
    Mat objectImage = Highgui.imread(bookObject, Highgui.CV_LOAD_IMAGE_COLOR);
    Mat sceneImage = Highgui.imread(bookScene, Highgui.CV_LOAD_IMAGE_COLOR);

    MatOfKeyPoint objectKeyPoints = new MatOfKeyPoint();
    FeatureDetector featureDetector = FeatureDetector.create(FeatureDetector.SIFT);
    //java.lang.System.out.print("Encontrar keypoints con SIFT | ");  
    featureDetector.detect(objectImage, objectKeyPoints);
    KeyPoint[] keypoints = objectKeyPoints.toArray();

    MatOfKeyPoint objectDescriptors = new MatOfKeyPoint();
    DescriptorExtractor descriptorExtractor = DescriptorExtractor.create(DescriptorExtractor.SIFT);
    //java.lang.System.out.print("Computando descriptores | ");  
    descriptorExtractor.compute(objectImage, objectKeyPoints, objectDescriptors);

    // Create the matrix for output image.   
    Mat outputImage = new Mat(objectImage.rows(), objectImage.cols(), Highgui.CV_LOAD_IMAGE_COLOR);
    Scalar newKeypointColor = new Scalar(255, 0, 0);

    //java.lang.System.out.print("Dibujando keypoints en imagen base | ");  
    Features2d.drawKeypoints(objectImage, objectKeyPoints, outputImage, newKeypointColor, 0);

    // Match object image with the scene image  
    MatOfKeyPoint sceneKeyPoints = new MatOfKeyPoint();
    MatOfKeyPoint sceneDescriptors = new MatOfKeyPoint();
    //java.lang.System.out.print("Detectando keypoints en imagen base | ");
    featureDetector.detect(sceneImage, sceneKeyPoints);
    //java.lang.System.out.print("Computando descriptores en imagen base | ");
    descriptorExtractor.compute(sceneImage, sceneKeyPoints, sceneDescriptors);

    Mat matchoutput = new Mat(sceneImage.rows() * 2, sceneImage.cols() * 2, Highgui.CV_LOAD_IMAGE_COLOR);
    Scalar matchestColor = new Scalar(0, 255, 0);

    List<MatOfDMatch> matches = new LinkedList<MatOfDMatch>();
    DescriptorMatcher descriptorMatcher = DescriptorMatcher.create(DescriptorMatcher.FLANNBASED);
    //java.lang.System.out.println(sceneDescriptors);  

    if (sceneDescriptors.empty()) {
        java.lang.System.out.println("Objeto no encontrado");
        return 0;
    }

    descriptorMatcher.knnMatch(objectDescriptors, sceneDescriptors, matches, 2);

    //java.lang.System.out.println("Calculando buenos matches");
    LinkedList<DMatch> goodMatchesList = new LinkedList<DMatch>();

    float nndrRatio = 0.7f;

    for (int i = 0; i < matches.size(); i++) {
        MatOfDMatch matofDMatch = matches.get(i);
        DMatch[] dmatcharray = matofDMatch.toArray();
        DMatch m1 = dmatcharray[0];
        DMatch m2 = dmatcharray[1];

        if (m1.distance <= m2.distance * nndrRatio) {
            goodMatchesList.addLast(m1);

        }
    }

    if (goodMatchesList.size() >= 7) {
        max = goodMatchesList.size();

        List<KeyPoint> objKeypointlist = objectKeyPoints.toList();
        List<KeyPoint> scnKeypointlist = sceneKeyPoints.toList();

        LinkedList<Point> objectPoints = new LinkedList<>();
        LinkedList<Point> scenePoints = new LinkedList<>();

        for (int i = 0; i < goodMatchesList.size(); i++) {
            objectPoints.addLast(objKeypointlist.get(goodMatchesList.get(i).queryIdx).pt);
            scenePoints.addLast(scnKeypointlist.get(goodMatchesList.get(i).trainIdx).pt);
        }

        MatOfPoint2f objMatOfPoint2f = new MatOfPoint2f();
        objMatOfPoint2f.fromList(objectPoints);
        MatOfPoint2f scnMatOfPoint2f = new MatOfPoint2f();
        scnMatOfPoint2f.fromList(scenePoints);

        Mat homography = Calib3d.findHomography(objMatOfPoint2f, scnMatOfPoint2f, Calib3d.RANSAC, 3);

        Mat obj_corners = new Mat(4, 1, CvType.CV_32FC2);
        Mat scene_corners = new Mat(4, 1, CvType.CV_32FC2);

        obj_corners.put(0, 0, new double[] { 0, 0 });
        obj_corners.put(1, 0, new double[] { objectImage.cols(), 0 });
        obj_corners.put(2, 0, new double[] { objectImage.cols(), objectImage.rows() });
        obj_corners.put(3, 0, new double[] { 0, objectImage.rows() });

        //System.out.println("Transforming object corners to scene corners...");  
        Core.perspectiveTransform(obj_corners, scene_corners, homography);

        Mat img = Highgui.imread(bookScene, Highgui.CV_LOAD_IMAGE_COLOR);

        Core.line(img, new Point(scene_corners.get(0, 0)), new Point(scene_corners.get(1, 0)),
                new Scalar(0, 255, 0), 4);
        Core.line(img, new Point(scene_corners.get(1, 0)), new Point(scene_corners.get(2, 0)),
                new Scalar(0, 255, 0), 4);
        Core.line(img, new Point(scene_corners.get(2, 0)), new Point(scene_corners.get(3, 0)),
                new Scalar(0, 255, 0), 4);
        Core.line(img, new Point(scene_corners.get(3, 0)), new Point(scene_corners.get(0, 0)),
                new Scalar(0, 255, 0), 4);

        //java.lang.System.out.println("Dibujando imagen de coincidencias");
        MatOfDMatch goodMatches = new MatOfDMatch();
        goodMatches.fromList(goodMatchesList);

        Features2d.drawMatches(objectImage, objectKeyPoints, sceneImage, sceneKeyPoints, goodMatches,
                matchoutput, matchestColor, newKeypointColor, new MatOfByte(), 2);

        String n_outputImage = "../pre/outputImage_sift.jpg";
        String n_matchoutput = "../pre/matchoutput_sift.jpg";
        String n_img = "../pre/sift.jpg";
        Highgui.imwrite(n_outputImage, outputImage);
        Highgui.imwrite(n_matchoutput, matchoutput);
        Highgui.imwrite(n_img, img);
        java.lang.System.out.println(goodMatches.size().height);
        double result = goodMatches.size().height;//*100/matches.size();
        int score = 0;
        if (result > 26) {
            score = 100;
        } else if (result <= 26 && result > 22) {
            score = 85;
        } else if (result <= 22 && result > 17) {
            score = 50;
        } else if (result <= 17 && result > 11) {
            score = 25;
        } else {
            score = 0;
        }
        java.lang.System.out.println("Score: " + score);
        return score;
    } else {
        java.lang.System.out.println("Objeto no encontrado");
        return 0;
    }
    //System.out.println("Terminando SIFT");  
}

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