/// <summary>
/// Computation function.
/// </summary>
/// <param name="Input">Input data.</param>
/// <param name="Stats">Result collector.</param>
static void RunStatistics(double[,] Input, BasicImstatSolver Stats)
{
int OW = Input.GetLength(1);
int OH = Input.GetLength(0);
int i, j, k;
double Mean = 0, Var = 0;
/* Scan the image on block-by-block basis */
for (k = 0; k < OW - OH; k += OH)
{
/* Scan block */
Mean = 0; Var = 0;
for (i = 0; i < OH; i++)
{
for (j = 0; j < OH; j++)
{
Mean += Input[i, j + k]; Var += Input[i, j + k] * Input[i, j + k];
}
}
/* Compute mean and variance */
Mean /= (OH * OH);
Var /= (OH * OH);
Var -= Mean * Mean;
/* Update results */
lock (Stats.Means)
{
Stats.Means.Add(Mean);
Stats.Variances.Add(Var);
}
}
}
/// <summary>
/// Solver function conforming to <see cref="ImageStatistics.StatisticsSolver"/>.
/// </summary>
public static void BasicSolver(Image Image, out double ZeroLevel, out double StDev)
{
BasicImstatSolver imsolver = new BasicImstatSolver()
{
Means = new List <double>(),
Variances = new List <double>()
};
StatAlgorithm.Run(imsolver, Image, new SchedCore.AlgorithmRunParameters()
{
FillZero = false, InputMargins = 0, Xstep = 0, Ystep = 50
});
double[] M = imsolver.Means.ToArray();
double[] V = imsolver.Variances.ToArray();
Array.Sort(M);
Array.Sort(V);
ZeroLevel = M[M.Length / 2];
StDev = Sqrt(V[M.Length / 2]);
}
