public static void createBoW()
{
string[] files = Directory.GetFiles ("testset");
Dictionary<string, Bitmap> testImages = new Dictionary<string, Bitmap>();
for (int i = 0; i < files.Length; i++) {
string name = Path.GetFileNameWithoutExtension (files [i]);
testImages.Add(name, (Bitmap)Bitmap.FromFile(files[i]));
}
int numberOfWords = 6; // number of cluster centers: typically >>100
// Create a Binary-Split clustering algorithm
BinarySplit binarySplit = new BinarySplit(numberOfWords);
// Create bag-of-words (BoW) with the given algorithm
BagOfVisualWords surfBow = new BagOfVisualWords(binarySplit);
// Compute the BoW codebook using training images only
Bitmap[] bmps = new Bitmap[testImages.Count];
testImages.Values.CopyTo(bmps, 0);
surfBow.Compute(bmps);
surfBow.Save ("bagOfWords");
}
