private void calculatedescriptors(Mat image, UMat imageDescriptors, VectorOfKeyPoint imageKeyPoints)
{
using (UMat mImage = image.ToUMat(Emgu.CV.CvEnum.AccessType.Read))
{
SIFT sift = new SIFT();
sift.DetectAndCompute(mImage, null, imageKeyPoints, imageDescriptors, false);
}
}
public static int SiftComparison(string img1, string img2)
{
var sift = new Emgu.CV.XFeatures2D.SIFT();
var modelKeyPoints = new VectorOfKeyPoint();
Mat modelDescriptors = new Mat();
var observedKeyPoints = new VectorOfKeyPoint();
Mat observedDescriptors = new Mat();
Mat mask = new Mat();
VectorOfVectorOfDMatch matches = new VectorOfVectorOfDMatch();
int k = 2;
double uniquenessThreshold = 0.80;
using (Mat modelImage = CvInvoke.Imread(img1, ImreadModes.Grayscale))
using (Mat observedImage = CvInvoke.Imread(img2, ImreadModes.Grayscale))
{
sift.DetectAndCompute(modelImage, null, modelKeyPoints, modelDescriptors, false);
sift.DetectAndCompute(observedImage, null, observedKeyPoints, observedDescriptors, false);
BFMatcher matcher = new BFMatcher(DistanceType.L1);
matcher.Add(modelDescriptors);
//matcher.Add(observedDescriptors);
matcher.KnnMatch(observedDescriptors, matches, k, null);
mask = new Mat(matches.Size, 1, DepthType.Cv8U, 1);
mask.SetTo(new MCvScalar(255));
try
{
Features2DToolbox.VoteForUniqueness(matches, uniquenessThreshold, mask);
}
catch (Exception ex)
{
Log(ex.Message);
Log("Error with SIFT algorithm, unable to compare images..");
return(0);
}
}
int score = 0;
for (int i = 0; i < matches.Size; i++)
{
if (mask.GetData(i)[0] == 0)
{
continue;
}
foreach (var e in matches[i].ToArray())
{
++score;
}
}
return(score);
}
public void TestSIFT()
{
SIFT detector = new SIFT();
EmguAssert.IsTrue(TestFeature2DTracker(detector, detector), "Unable to find homography matrix");
}
public void TestMSER()
{
MSERDetector keyPointDetector = new MSERDetector();
SIFT descriptorGenerator = new SIFT();
//ParamDef[] parameters = keyPointDetector.GetParams();
TestFeature2DTracker(keyPointDetector, descriptorGenerator);
}
public void TestGFTTDetector()
{
GFTTDetector keyPointDetector = new GFTTDetector(1000, 0.01, 1, 3, false, 0.04);
SIFT descriptorGenerator = new SIFT();
//ParamDef[] parameters = keyPointDetector.GetParams();
TestFeature2DTracker(keyPointDetector, descriptorGenerator);
}
public void TestStar()
{
StarDetector keyPointDetector = new StarDetector();
//SURF descriptorGenerator = new SURF(500, false);
SIFT descriptorGenerator = new SIFT();
//ParamDef[] parameters = keyPointDetector.GetParams();
TestFeature2DTracker(keyPointDetector, descriptorGenerator);
}