1
      Mat image1 = new Mat();
2
        image1 = CvInvoke.Imread("./Img/image2.jpg", Emgu.CV.CvEnum.ImreadModes.Color);
3
        Mat image2 = CvInvoke.Imread("./Img/image6.jpg", Emgu.CV.CvEnum.ImreadModes.Color);
4
        Mat gray1 = new Mat();
5
        Mat gray2 = new Mat();
6
        CvInvoke.CvtColor(image1, gray1, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
7
        CvInvoke.CvtColor(image2, gray2, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
8
 
9
        VectorOfKeyPoint keypoints1 = new VectorOfKeyPoint();
10
        VectorOfKeyPoint keypoints2 = new VectorOfKeyPoint();
11
 
12
        Mat mask;
13
        int k = 2;
14
        double uiquenessthreshold = 0.80;
15
        VectorOfVectorOfDMatch matches = new VectorOfVectorOfDMatch();
16
 
17
        ORB detector = new ORB();
18
        Mat descriptors1 = new Mat();
19
        Mat descriptors2 = new Mat();
20
        detector.DetectAndCompute(gray1, null, keypoints1, descriptors1, false);
21
        detector.DetectAndCompute(gray2, null, keypoints2, descriptors2, false);
22
   
23
 
24
 
25
        BFMatcher bFMatcher = new BFMatcher(DistanceType.Hamming);
26
 
27
        bFMatcher.Add(descriptors1);
28
 
29
        bFMatcher.KnnMatch(descriptors2, matches, k);
30
 
31
 
32
        mask = new Mat(matches.Size, 1, Emgu.CV.CvEnum.DepthType.Cv8U, 1);
33
 
34
 
35
        mask.SetTo(new MCvScalar(255));
36
 
37
        Features2DToolbox.VoteForUniqueness(matches, uiquenessthreshold, mask);
38
 
39
 
40
      
41
 
42
                Console.WriteLine(mask);
43
                int similarityScore = CvInvoke.CountNonZero(mask);
44
 
45
    
46
                Console.WriteLine("Similarity score: " + similarityScore);
47
 
48
                int threshold = 50;
49
 
50
                // Compare similarity score with threshold
51
                if (similarityScore > threshold)
52
                {
53
                    Console.WriteLine("Images match!");
54
                }
55
                else
56
                {
57
                    Console.WriteLine("Images do not match.");
58
                }