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 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 ObjectLayer Execute3rdLevelSegmentation(ObjectLayer l2ndLevel, GrayscaleProcessor gpSobel, GrayscaleProcessor gpH, float targetArea)
{
List<Contour> finalContours = new List<Contour>();
for (int i = 0; i < l2ndLevel.Objects.Count; i++)
{
finalContours.Add(l2ndLevel.Objects[i].Contour);
}
double[] hBackground = this.GetBackgroundHistogram(l2ndLevel, gpH);
double[] hForeground = this.GetForegroundHistogram(l2ndLevel, gpH);
Parallel.For(0, l2ndLevel.Objects.Count, i =>
{
ImageObject obj = l2ndLevel.Objects[i];
ContourProperties cp = ContourProperties.FromContour(obj.Contour);
obj.Features.Add(new Feature("Area", cp.Area));
});
Map map = new Map(gpSobel.Width, gpSobel.Height);
Parallel.For(0, gpH.Height, dy =>
{
for (int dx = 0; dx < gpH.Width; dx++)
{
UInt32 h = gpH[dx, dy];
if (hForeground[h] <= hBackground[h]) continue;
UInt32 id = l2ndLevel.Map[dx, dy];
if (id != 0)
{
ImageObject obj = l2ndLevel.Objects.GetObjectById(id);
double area = obj.Features["Area"].Value;
if (area > 0.33 * targetArea) continue;
}
map[dx, dy] = 0xffffffff;
}
});
ObjectLayer layer = new ConnectedComponentCollector().Execute(map);
layer = new ContourOptimizer().RemoveNonCompactPixels(layer, 3);
for (int i = 0; i < layer.Objects.Count; i++)
{
finalContours.Add(layer.Objects[i].Contour);
}
Contour[] contours = this.Sort(finalContours.ToArray(), gpSobel, gpH, targetArea);
layer = this.CreateLayer(gpSobel.Width, gpSobel.Height, contours);
Map finalMap = new Map(layer.Map, false);
for (int dy = 0; dy < gpH.Height; dy++) for (int dx = 0; dx < gpH.Width; dx++)
{
if (l2ndLevel.Map[dx, dy] != 0) continue;
if (map[dx, dy] != 0) continue;
finalMap[dx, dy] = 0;
}
layer = new ConnectedComponentCollector().Execute(finalMap);
layer = new ContourOptimizer().RemoveNonCompactPixels(layer, 3);
layer = new ConcaveObjectSeparation().Execute(layer, 0.33, true);
double minArea = Math.Max(0.1 * targetArea, MIN_AREA);
layer = layer.CreateAbove(obj =>
{
float area = ContourProperties.FromContour(obj.Contour).Area;
return area > minArea;
});
layer = this.RefillContours(layer);
return layer;
}
private ObjectLayer Execute2ndLevelSegmentation(GrayscaleProcessor gp, GrayscaleProcessor gpSobel, GrayscaleProcessor gpH, float targetArea)
{
ContourBasedSegmentation cbs = new ContourBasedSegmentation();
cbs.CreatePrimarySegmentation(gp, MAX_CONTOURLENGTH);
cbs.EvaluateContours(c =>
{
return this.GetContourValue(c, gpSobel, gpH, targetArea);
});
ObjectLayer layer = cbs.CreateLayer(MIN_CONTOURLENGTH, int.MaxValue);
layer = layer.CreateAbove(obj =>
{
return this.GetContourGradient(obj, gp) < 0;
});
layer = new ContourOptimizer().RemoveNonCompactPixels(layer, 3);
layer = new ConcaveObjectSeparation().Execute(layer, 0.33, true);
double[] hBackground = this.GetBackgroundHistogram(layer, gpH);
double[] hForeground = this.GetForegroundHistogram(layer, gpH);
bool isFirst = true;
ObjectLayer firstStep = null;
while (true)
{
bool removed = false;
layer = layer.CreateAbove(obj =>
{
int[] hHistogram = this.GetHistogram(obj, gpH);
double hRatioForeground = this.GetRatioForeground(hHistogram, hForeground, hBackground);
if (hRatioForeground > 0.5) return true;
for (int i = 0; i < 256; i++)
{
int val = hHistogram[i];
hForeground[i] -= val;
hBackground[i] += val;
}
removed = true;
return false;
});
if (isFirst)
{
firstStep = layer;
isFirst = false;
}
if (!removed) break;
}
if (layer.Objects.Count == 0) layer = firstStep;
double minArea = Math.Max(0.1 * targetArea, MIN_AREA);
layer = layer.CreateAbove(obj =>
{
float area = ContourProperties.FromContour(obj.Contour).Area;
return area >= minArea;
});
layer = this.RefillContours(layer);
return layer;
}
private ObjectLayer Execute3rdLevelSegmentation(ObjectLayer l2ndLevel, GrayscaleProcessor gpSobel, GrayscaleProcessor gpH, float targetArea)
{
List <Contour> finalContours = new List <Contour>();
for (int i = 0; i < l2ndLevel.Objects.Count; i++)
{
finalContours.Add(l2ndLevel.Objects[i].Contour);
}
double[] hBackground = this.GetBackgroundHistogram(l2ndLevel, gpH);
double[] hForeground = this.GetForegroundHistogram(l2ndLevel, gpH);
Parallel.For(0, l2ndLevel.Objects.Count, i =>
{
ImageObject obj = l2ndLevel.Objects[i];
ContourProperties cp = ContourProperties.FromContour(obj.Contour);
obj.Features.Add(new Feature("Area", cp.Area));
});
Map map = new Map(gpSobel.Width, gpSobel.Height);
Parallel.For(0, gpH.Height, dy =>
{
for (int dx = 0; dx < gpH.Width; dx++)
{
UInt32 h = gpH[dx, dy];
if (hForeground[h] <= hBackground[h])
{
continue;
}
UInt32 id = l2ndLevel.Map[dx, dy];
if (id != 0)
{
ImageObject obj = l2ndLevel.Objects.GetObjectById(id);
double area = obj.Features["Area"].Value;
if (area > 0.33 * targetArea)
{
continue;
}
}
map[dx, dy] = 0xffffffff;
}
});
ObjectLayer layer = new ConnectedComponentCollector().Execute(map);
layer = new ContourOptimizer().RemoveNonCompactPixels(layer, 3);
for (int i = 0; i < layer.Objects.Count; i++)
{
finalContours.Add(layer.Objects[i].Contour);
}
Contour[] contours = this.Sort(finalContours.ToArray(), gpSobel, gpH, targetArea);
layer = this.CreateLayer(gpSobel.Width, gpSobel.Height, contours);
Map finalMap = new Map(layer.Map, false);
for (int dy = 0; dy < gpH.Height; dy++)
{
for (int dx = 0; dx < gpH.Width; dx++)
{
if (l2ndLevel.Map[dx, dy] != 0)
{
continue;
}
if (map[dx, dy] != 0)
{
continue;
}
finalMap[dx, dy] = 0;
}
}
layer = new ConnectedComponentCollector().Execute(finalMap);
layer = new ContourOptimizer().RemoveNonCompactPixels(layer, 3);
//layer=new ConcaveObjectSeparation().Execute(layer, 0.33, true);
double minArea = Math.Max(0.1 * targetArea, MIN_AREA);
layer = layer.CreateAbove(obj =>
{
float area = ContourProperties.FromContour(obj.Contour).Area;
return(area > minArea);
});
layer = this.RefillContours(layer);
return(layer);
}
private ObjectLayer Execute2ndLevelSegmentation(GrayscaleProcessor gp, GrayscaleProcessor gpSobel, GrayscaleProcessor gpH, float targetArea)
{
ContourBasedSegmentation cbs = new ContourBasedSegmentation();
cbs.CreatePrimarySegmentation(gp, MAX_CONTOURLENGTH);
cbs.EvaluateContours(c =>
{
return(this.GetContourValue(c, gpSobel, gpH, targetArea));
});
ObjectLayer layer = cbs.CreateLayer(MIN_CONTOURLENGTH, int.MaxValue);
layer = layer.CreateAbove(obj =>
{
return(this.GetContourGradient(obj, gp) < 0);
});
layer = new ContourOptimizer().RemoveNonCompactPixels(layer, 3);
//layer=new ConcaveObjectSeparation().Execute(layer, 0.33, true);
double[] hBackground = this.GetBackgroundHistogram(layer, gpH);
double[] hForeground = this.GetForegroundHistogram(layer, gpH);
bool isFirst = true;
ObjectLayer firstStep = null;
while (true)
{
bool removed = false;
layer = layer.CreateAbove(obj =>
{
int[] hHistogram = this.GetHistogram(obj, gpH);
double hRatioForeground = this.GetRatioForeground(hHistogram, hForeground, hBackground);
if (hRatioForeground > 0.5)
{
return(true);
}
for (int i = 0; i < 256; i++)
{
int val = hHistogram[i];
hForeground[i] -= val;
hBackground[i] += val;
}
removed = true;
return(false);
});
if (isFirst)
{
firstStep = layer;
isFirst = false;
}
if (!removed)
{
break;
}
}
if (layer.Objects.Count == 0)
{
layer = firstStep;
}
double minArea = Math.Max(0.1 * targetArea, MIN_AREA);
layer = layer.CreateAbove(obj =>
{
float area = ContourProperties.FromContour(obj.Contour).Area;
return(area >= minArea);
});
layer = this.RefillContours(layer);
return(layer);
}
