在Android OpenCV中使用ORB比较两个图像

Question

我是OpenCV的新手，我试图使用OpenCV编写一个android代码来比较两个图像的相似性，例如，我从代码中看到的是从Drawable文件夹加载了两个图像，但是我无法完成该代码以获取图像之间的匹配百分比并设置阈值或其他内容？因此，请任何人能帮助我解决我的问题，谢谢。以下是我的代码：

public class MainActivity extends AppCompatActivity {

 //TextView textView;
@Override
protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);
    setContentView(R.layout.activity_main);

    System.loadLibrary("opencv_java3");

   // textView =(TextView)findViewById(R.id.textView);

    Mat m1 = Imgcodecs.imread(ResourcesCompat.getDrawable(getResources(), R.drawable.image1, null).toString());

    Mat m2 = Imgcodecs.imread(ResourcesCompat.getDrawable(getResources(), R.drawable.image2, null).toString());

    //Imgproc.cvtColor(m1, m1, Imgproc.COLOR_RGB2BGRA);
    //Imgproc.cvtColor(m2, m2, Imgproc.COLOR_RGB2BGRA);

    FeatureDetector detector = FeatureDetector.create(FeatureDetector.ORB);
    MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
    detector.detect(m1, keypoints1);

    FeatureDetector detector2 = FeatureDetector.create(FeatureDetector.ORB);
    MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
    detector2.detect(m2, keypoints2);

    DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.ORB);
    Mat descriptors1 = new Mat();
    extractor.compute(m1, keypoints1, descriptors1);

    DescriptorExtractor extractor2 = DescriptorExtractor.create(DescriptorExtractor.ORB);
    Mat descriptors2 = new Mat();
    extractor2.compute(m2, keypoints2, descriptors2);

    DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMING);
    MatOfDMatch matches = new MatOfDMatch();

    matcher.match(descriptors1, descriptors2, matches);


    List<DMatch> matchesList = matches.toList();
    double maxDistance = 0;
    double minDistance = 1000;

    int rowCount = matchesList.size();
    for (int i = 0; i < rowCount; i++)
    {
        double dist = matchesList.get(i).distance;
        if (dist < minDistance) minDistance = dist;
        if (dist > maxDistance) maxDistance = dist;
    }

    List<DMatch> goodMatchesList = new ArrayList<DMatch>();
    double upperBound = 1.6 * minDistance;
    for (int i = 0; i < rowCount; i++)
    {
        if (matchesList.get(i).distance <= upperBound)
        {
            goodMatchesList.add(matchesList.get(i));
        }
    }
    MatOfDMatch goodMatches = new MatOfDMatch();
    goodMatches.fromList(goodMatchesList);

}

}