private ObjectLayer Execute1stLevelSegmentation(GrayscaleProcessor gp, GrayscaleProcessor gpSobel, GrayscaleProcessor gpH)
{
ContourBasedSegmentation cbs = new ContourBasedSegmentation();
cbs.CreatePrimarySegmentation(gp, MAX_CONTOURLENGTH);
cbs.EvaluateContours(c =>
{
if (ContourProperties.FromContour(c).Convexity < 0.95)
{
return(-1);
}
return(ContourValue.GetValue(c, gpSobel));
});
ObjectLayer layer = cbs.CreateLayer(MIN_CONTOURLENGTH, int.MaxValue);
layer = new ContourOptimizer().RemoveNonCompactPixels(layer, 3);
layer = layer.CreateAbove(obj =>
{
return(this.GetContourGradient(obj, gp) < 0);
});
//layer=new ConcaveObjectSeparation().Execute(layer, 0.33, true);
return(layer);
}
private double GetContourValue(Contour c, GrayscaleProcessor gpSobel, GrayscaleProcessor gpH, float targetArea)
{
double h = MeanIntensityOnContour.GetValue(c, gpH);
ContourProperties cp = ContourProperties.FromContour(c);
float area = Math.Min(cp.Area, targetArea) / targetArea;
if (cp.Convexity < 0.9 && cp.Area < targetArea)
{
area = 1F / targetArea;
}
float convexity = cp.Convexity * cp.Convexity;
double color = h / 255.0;
return(color * area * convexity * ContourValue.GetValue(c, gpSobel));
}