public MarkovNetwork(Image <Rgb, byte> left, Image <Rgb, byte> right)
{
RightMap = new double[right.Height, right.Width][];
for (int y = 0; y < right.Height; y++)
{
for (int x = 0; x < right.Width; x++)
{
var pixel = right[y, x];
RightMap[y, x] = new[] { pixel.Red, pixel.Green, pixel.Blue };
}
}
Net = new MarkovNode[left.Height, left.Width];
for (int y = 0; y < left.Height; y++)
{
for (int x = 0; x < left.Width; x++)
{
var pixel = left[y, x];
Net[y, x] = new MarkovNode(x, y, new[] { pixel.Red, pixel.Green, pixel.Blue }, RightMap);
Nodes.Add(Net[y, x]);
}
}
SetEdges();
}
private double GetEdgeMetric(MarkovNode node1, int dx1, MarkovNode node2, int dx2)
{
var dist = SqrDist(node1, node2);
return(Math.Abs(dx1 - dx2) > MaxDelta
? nearDxGaussians[dist].GetDensity(MaxDelta)
: nearDxGaussians[dist].GetDensity(dx1 - dx2));
}
private static int SqrDist(MarkovNode node1, MarkovNode node2)
{
return((node1.Y - node2.Y) * (node1.Y - node2.Y) + (node1.X - node2.X) * (node1.X - node2.X));
}
private int SqrDist(MarkovNode node)
{
return(SqrDist(node, this));
}
public Dictionary <int, double> GenerateProbabilities(IEnumerable <int> variants, MarkovNode node)
{
if (vars == null)
{
vars = new Dictionary <int, double>();
}
vars.Clear();
foreach (var variant in variants)
{
vars[variant] = GetEdgeMetric(this, Dx, node, variant);
}
return(vars);
}
