private static void FinalizeFrame(Tomogram tom)
{
int numberOfBackgroundClasses = tom.DataClasses.Where(n => n != 0).Count();
float[] classKey = new float[numberOfBackgroundClasses];
for (int c = 0; c < classKey.Length; c++)
{
float v = (float)RandomNormal.Next(tom.Random, 85, 15);
classKey[c] = v * tom.MRCScaler;
}
for (int y = 0, i = 0; y < tom.Height; y++)
{
for (int x = 0; x < tom.Width; x++, i++)
{
int classNumber = tom.DataClasses[i];
if (classNumber > 0 && classNumber <= tom.BackgroundDensity)
{
tom.Data[i] = classKey[classNumber];
}
}
}
GaussianBlur blur = GaussianBlur.BuildBlur(2.0f, 4);
tom.Data = blur.BlurData(tom.Data, tom.Width, tom.Height);
for (int y = 0, i = 0; y < tom.Height; y++)
{
for (int x = 0; x < tom.Width; x++, i++)
{
int classNumber = tom.DataClasses[i];
if (classNumber == -1)
{
float v = tom.Random.Next(50, 60);
tom.Data[i] = v * tom.MRCScaler;
}
}
}
tom.Data = blur.BlurData(tom.Data, tom.Width, tom.Height);
}