private void ApplySURF()
{
List <VectorOfKeyPoint> keyPointsList;
SURFDetector surfCPU;
Tuple <Image <Bgr, byte>, HomographyMatrix> homo1;
Tuple <Image <Bgr, byte>, Rectangle, double> tup;
Stopwatch watch = Stopwatch.StartNew();
Image <Bgr, Byte> pTest;
Tuple <Image <Bgr, byte>, float[]> drawResult = null;
ArrayList allMatches = new ArrayList();
int x, y, counter;
string[] filePaths = Directory.GetFiles(_intermediatePath, "*.jpg");
foreach (string path in filePaths)
{
GetImageParameters(out x, out y, out counter, path);
pTest = new Image <Bgr, byte>(path);
keyPointsList = _descriptor.SURF_BruteForceMatcher(_gElement, pTest.Convert <Gray, Byte>(), _hessianThreshould, out surfCPU);
homo1 = _machineLearning.SURFMatcher_KNN(_gElement, pTest.Convert <Gray, Byte>(), surfCPU, keyPointsList, _uniquenessThresh, _tm);
drawResult = _machineLearning.ApplyHistogramMatching(out tup, homo1, _gElement, pTest.Convert <Gray, Byte>(), _test, _inputPath, counter, x, y, _histogramMatchingScore);
if (drawResult != null)
{
if (drawResult.Item2[2] > 0)
{
allMatches.Add(drawResult.Item2);
_log.WriteLine(string.Format("\n\tSW2 location: ({0}, {1})\n\tHistogram score: {2}]", drawResult.Item2[0], drawResult.Item2[1], drawResult.Item2[2]));
}
}
}
if (allMatches != null)
{
_log.WriteLine("The count before consolidation: " + allMatches.Count);
//////// Consolidate
//HashSet<float[]> hash0 = Consolidation.Consolidate(allMatches, _gElement.Width - 1, _gElement.Height - 1, _log);
//ArrayList al = new ArrayList();
//foreach (float[] i in hash0)
// al.Add(i);
//HashSet<float[]> hash = Consolidation.Consolidate(al, _gElement.Width - 1, _gElement.Height - 1, _log);
///////Drawing
//_log.WriteLine("The count after consolidation: " + hash.Count);
//Visualization.DrawingResults(hash, _gElement, _test, _inputPath);
Visualization.DrawingResults(allMatches, _gElement, _test, _inputPath);
}
watch.Stop();
_log.WriteLine(watch.Elapsed);
_log.Close();
}
