protected void Clustering(List <Line> lines, Image <Bgr, byte> frame)
{
List <Point> intersections = new List <Point>();
foreach (Line inLine in lines)
{
foreach (Line cmpLine in lines)
{
if (inLine == cmpLine)
{
continue;
}
Point intersection = inLine.Intersect(cmpLine);
if (intersection != null && !intersections.Contains(intersection))
{
intersections.Add(intersection);
}
}
}
if (intersections.Count > 0)
{
ClusterSet clusters = DBSCAN.DBSCAN.CalculateClusters(
intersections.Select(p => new PointContainer(p)).ToList(),
20,
(int)Math.Round(0.1 * intersections.Count, 0)
);
if (clusters.IsValid())
{
if (Filtering.Add(clusters.GetBestCluster().GetMean()))
{
if (Confidence < 100)
{
Confidence = Confidence >= 100 ? 100 : Confidence + 5f;
}
}
else
{
Confidence = 10;
}
}
Vector vector = BoxContainer.Hit(Filtering.GetMean());
try
{
((RenderPoint)Filtering.GetMean()).Render(frame);
}
catch (Exception e)
{
}
LatestResponse = !vector.IsNull()
? new Response(true, BoxContainer.Hit(Filtering.GetMean()), Confidence)
: new Response(false, null);
CvInvoke.Imshow("frame", frame);
CvInvoke.WaitKey(1);
}
}