imageanalyzercv.ImageAnalyzerCV.java Source code

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Here is the source code for imageanalyzercv.ImageAnalyzerCV.java

Source

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package imageanalyzercv;

import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.DMatch;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDMatch;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.FeatureDetector;
import org.opencv.features2d.Features2d;
import org.opencv.highgui.Highgui;

/**
 *
 * @author chintan
 */
public class ImageAnalyzerCV {

    /**
     * @param args the command line arguments
     */
    public static void main(String[] args) {
        System.out.println("path: " + System.getProperty("java.library.path"));
        System.loadLibrary("opencv_java300");

        Mat m = Highgui.imread("/Users/chintan/Downloads/software/image_analyis/mydata/SAM_0763.JPG");
        System.out.println("m = " + m.height());
        MatOfKeyPoint points = new MatOfKeyPoint();
        FeatureDetector.create(FeatureDetector.SURF).detect(m, points);

        Mat m2 = Highgui.imread("/Users/chintan/Downloads/software/image_analyis/mydata/SAM_0764.JPG");
        System.out.println("m = " + m2.height());
        MatOfKeyPoint points2 = new MatOfKeyPoint();
        FeatureDetector.create(FeatureDetector.SURF).detect(m2, points2);

        DescriptorExtractor SurfExtractor = DescriptorExtractor.create(DescriptorExtractor.BRISK);
        Mat imag1Desc = new Mat();
        SurfExtractor.compute(m, points, imag1Desc);

        Mat imag2Desc = new Mat();
        SurfExtractor.compute(m2, points2, imag2Desc);

        MatOfDMatch matches = new MatOfDMatch();

        Mat imgd = new Mat();
        imag1Desc.copyTo(imgd);
        System.out.println(imgd.size());
        DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMING).match(imag2Desc, imag1Desc,
                (MatOfDMatch) matches);

        double min_distance = 1000.0;
        double max_distance = 0.0;
        DMatch[] matchArr = matches.toArray();
        for (int i = 0; i < matchArr.length; i++) {
            if (matchArr[i].distance > max_distance)
                max_distance = matchArr[i].distance;
            if (matchArr[i].distance < min_distance)
                min_distance = matchArr[i].distance;
        }

        ArrayList<DMatch> good_matches = new ArrayList<DMatch>();

        System.out.println("Min Distance: " + min_distance + "  Max distance: " + max_distance);
        double totalScore = 0.0;
        for (int j = 0; j < imag1Desc.rows() && j < matchArr.length; j++) {
            if ((matchArr[j].distance <= (11 * min_distance)) && (matchArr[j].distance >= min_distance * 1)) {
                good_matches.add(matchArr[j]);
                //System.out.println(matchArr[j]);
                totalScore = totalScore + matchArr[j].distance;

            }
            //good_matches.add(matchArr[j]);

        }
        System.out.println((1 - (totalScore / (good_matches.size() * ((max_distance + min_distance) / 2)))) * 100);
        // System.out.println(matches.toList().size());
        Mat out = new Mat();
        MatOfDMatch mats = new MatOfDMatch();
        mats.fromList(good_matches);
        Features2d.drawMatches(m2, points2, m, points, mats, out);
        Highgui.imwrite("/Users/chintan/Downloads/one2.jpg", out);
    }

}