void ITemplate.Initialize(Feature[] features, Size size, string classLabel)
{
this.Features = features;
this.Size = size;
this.ClassLabel = classLabel;
}
private static List<Feature> ExtractTemplate(Gray<byte>[,] orientationImage, int maxNumOfFeatures, Func<Feature, int> featureImportanceFunc)
{
List<Feature> candidates = new List<Feature>();
using (var uOrientationImage = orientationImage.Lock())
{
byte* orientImgPtr = (byte*)uOrientationImage.ImageData;
int orientImgStride = uOrientationImage.Stride;
int imgWidth = uOrientationImage.Width;
int imgHeight = uOrientationImage.Height;
for (int row = 0; row < imgHeight; row++)
{
for (int col = 0; col < imgWidth; col++)
{
if (orientImgPtr[col] == 0) //quantized orientations are: [1,2,4,8,...,128];
continue;
var candidate = new Feature(x: col, y: row, angleBinaryRepresentation: orientImgPtr[col]);
candidates.Add(candidate);
}
orientImgPtr += orientImgStride;
}
}
candidates = candidates.OrderByDescending(featureImportanceFunc).ToList(); //order descending
return FilterScatteredFeatures(candidates, maxNumOfFeatures, 5); //candidates.Count must be >= MIN_NUM_OF_FEATURES
}
