/// <summary>
/// Compute the image digest for an image given the input image
/// </summary>
/// <param name="image">CImg object representing an input image</param>
/// <param name="sigma">double value for the deviation for a gaussian filter function</param>
/// <param name="gamma">double value for gamma correction on the input image</param>
/// <param name="numberOfAngles">int value for the number of angles to consider.</param>
/// <returns></returns>
internal static Digest ComputeDigest(ByteImage image, double sigma, double gamma, int numberOfAngles = 180)
{
var blurred = image.Blur(sigma);
blurred.DiviveInplace(blurred.Max());
blurred.ApplyGamma(gamma);
var projs = FindRadonProjections(blurred, numberOfAngles);
var features = ComputeFeatureVector(projs);
return(ComputeDct(features));
}
/// <summary>
/// Compute the image digest for an image given the input image
/// </summary>
/// <param name="image">CImg object representing an input image</param>
/// <param name="sigma">double value for the deviation for a gaussian filter function</param>
/// <param name="gamma">double value for gamma correction on the input image</param>
/// <param name="numberOfAngles">int value for the number of angles to consider.</param>
/// <returns></returns>
protected static Digest ComputeDigest(ByteImage image, double sigma, double gamma, int numberOfAngles = DEFAULT_NUMBER_OF_ANGLES)
{
var blurred = image.Blur(sigma);
blurred.DivideInplace(blurred.Max());
blurred.ApplyGamma(gamma);
var projs = FindRadonProjections(blurred, numberOfAngles);
var features = ComputeFeatureVector(projs);
return(ComputeDct(features));
}