private double[] process(Bitmap bmp, int n, string method)
{
double[,] features2D = BitmapFeatures.Intensity(bmp);
switch (method)
{
case "merge":
double[] features = FeatureReduction.Flatten(features2D);
return(FeatureReduction.Merge(features, n));
case "grid":
return(FeatureReduction.GridwiseMerge(features2D, n));
}
return(FeatureReduction.Flatten(features2D));
//double[] features = FeatureReduction.Flatten(features2D);
//features = FeatureReduction.RowColSums(features2D);
//features = FeatureReduction.LDA(features2D, 4);
//features = FeatureReduction.PCA(features2D, 4);
//features = FeatureReduction.SVD(features2D);
//features = FeatureReduction.FHT(features2D);
//features = FeatureReduction.Sort(features);
//features = FeatureReduction.Covariance(features2D);
//features = FeatureReduction.Merge(features, n);
//features = FeatureReduction.Binarize(features);
//double[] features = FeatureReduction.GridwiseMerge(features2D, n);
//features = FeatureReduction.Discretize(features, 100);
//features = FeatureReduction.Binarize(features);
//return features;
}
/// <summary>
/// Extracts intensity features from the bitmap, and uses grid merge feature reduction.
/// </summary>
/// <param name="bmp">The BMP.</param>
/// <returns></returns>
/// <remarks></remarks>
private double[] BitmapFeatureExtract(Bitmap bmp)
{
double[,] features2D = BitmapFeatures.Intensity(bmp);
double[] features = FeatureReduction.GridwiseMerge(features2D, 64);
return(features);
}
