// 3 Calculate DCT
/// <summary>
/// Calculate images DTC
/// </summary>
/// <param name="image">Image to be grayscale</param>
private static int[,] calculateDCT(Bitmap image)
{
int[,] pix = new int[N, N];
for (int i = 0; i < image.Width; i++)
{
for (int j = 0; j < image.Height; j++)
{
Color c = image.GetPixel(i, j);
pix[i, j] = c.R;
}
}
int[,] dtcTemp = DTCUtils.DCT(pix);
int[,] reDtc = new int[N_DCT, N_DCT];
for (int i = 0; i < N_DCT; i++)
{
for (int j = 0; j < N_DCT; j++)
{
reDtc[i, j] = dtcTemp[i, j];
}
}
return(reDtc);
}
/// <summary>
/// Calculate the Coefficients
/// </summary>
/// <param name="imagePath">imagePath to be calculated</param>
private static Digest CalculateCoefficients(string imagePath)
{
Image image = Image.FromFile(imagePath);
Bitmap bitmap = ResetImageSize(image, N);
bitmap = ToGray(bitmap);
float[,] bitPix = new float[bitmap.Height, bitmap.Width];
for (int i = 0; i < bitmap.Width; i++)
{
for (int j = 0; j < bitmap.Height; j++)
{
Color c = bitmap.GetPixel(i, j);
bitPix[j, i] = c.G;
}
}
var projs = Projections.FindRadonProjections(bitPix, DEFAULT_NUMBER_OF_ANGLES);
var features = Projections.ComputeFeatureVector(projs);
return(DTCUtils.ComputeDct(features));
}