public static List <SegmentExtended> MergeSegmentWithLSM(List <SegmentExtended> list_of_segments, double spatial_distance, double tau_theta)
{
int n;
List <SegmentExtended> list_of_merged_segments = list_of_segments;
do
{
n = list_of_merged_segments.Count();
list_of_merged_segments = list_of_merged_segments.OrderByDescending(x => Toolbox.Distance(x)).ToList();
for (int i = 0; i < list_of_merged_segments.Count; i++)
{
SegmentExtended L1 = list_of_merged_segments[i];
double l1 = Toolbox.Distance(L1);
double theta_1 = Toolbox.Angle(L1);
double tau_s = spatial_distance * l1;
double x_11 = L1.Segment.X1;
double x_12 = L1.Segment.X2;
double y_11 = L1.Segment.Y1;
double y_12 = L1.Segment.Y2;
List <SegmentExtended> P = list_of_merged_segments.Where(x => Math.Abs(Toolbox.Angle(x) - theta_1) < tau_theta).ToList();
P = P.Where(
s => Math.Abs(x_11 - s.Segment.X1) < tau_s || Math.Abs(x_11 - s.Segment.X2) < tau_s || Math.Abs(x_12 - s.Segment.X1) < tau_s || Math.Abs(x_12 - s.Segment.X2) < tau_s
).ToList();
P = P.Where(
s => Math.Abs(y_11 - s.Segment.Y1) < tau_s || Math.Abs(y_11 - s.Segment.Y2) < tau_s || Math.Abs(y_12 - s.Segment.Y1) < tau_s || Math.Abs(y_12 - s.Segment.Y2) < tau_s
).ToList();
List <SegmentExtended> R = new List <SegmentExtended>();
foreach (SegmentExtended L2 in P)
{
SegmentExtended M = LSMSegmentMerger(L1, L2, spatial_distance, tau_theta);
if (M != null)
{
L1 = M;
list_of_merged_segments[i] = M;
R.Add(L2);
}
}
R.ForEach(x => list_of_merged_segments.Remove(x));
}
}while (n != list_of_merged_segments.Count());
return(list_of_merged_segments);
}
/// <summary>
/// Return a list of Segment where all parallel and continuous segment are Merge
/// </summary>
/// <param name="segments"></param>
/// <param name="threshold"></param>
/// <returns></returns>
public static List <SegmentExtended> MergeSegment(List <SegmentExtended> segments, double threshold)
{
List <SegmentExtended> merged_segment;
merged_segment = new List <SegmentExtended>();
for (int i = 0; i < segments.Count; i++)
{
/// On ajoute le segment courant à la liste des segments fusionnés
/// il faudra donc éliminer les segments mergeable au fur et à mesure de l'algo
merged_segment.Add(segments[i]);
for (int j = i + 1; j < segments.Count; j++)
{
if (testIfSegmentAreParrallel(merged_segment[i], segments[j]))
{
/// Les segments sont bien parallèles
if (Toolbox.DistancePointToLine(new PointD(segments[j].Segment.X1, segments[j].Segment.Y1),
new PointD(merged_segment[i].Segment.X1, merged_segment[i].Segment.Y1),
new PointD(merged_segment[i].Segment.X2, merged_segment[i].Segment.Y2)) < threshold)
{
/// Le pt 1 appartient au merged_segment[i]
if (Toolbox.DistancePointToLine(new PointD(segments[j].Segment.X2, segments[j].Segment.Y2),
new PointD(merged_segment[i].Segment.X1, merged_segment[i].Segment.Y1),
new PointD(merged_segment[i].Segment.X2, merged_segment[i].Segment.Y2)) < threshold)
{
/// Le pt 2 appartient au merged_segment[i]
/// On fusionne les segments !!!
double xMin = Math.Min(Math.Min(merged_segment[i].Segment.X1, merged_segment[i].Segment.X2), Math.Min(segments[j].Segment.X1, segments[j].Segment.X2));
double xMax = Math.Max(Math.Max(merged_segment[i].Segment.X1, merged_segment[i].Segment.X2), Math.Max(segments[j].Segment.X1, segments[j].Segment.X2));
double yMin = Math.Min(Math.Min(merged_segment[i].Segment.Y1, merged_segment[i].Segment.Y2), Math.Min(segments[j].Segment.Y1, segments[j].Segment.Y2));
double yMax = Math.Max(Math.Max(merged_segment[i].Segment.Y1, merged_segment[i].Segment.Y2), Math.Max(segments[j].Segment.Y1, segments[j].Segment.Y2));
if (Toolbox.ModuloPiAngleRadian(Math.Atan2(merged_segment[i].Segment.Y2 - merged_segment[i].Segment.Y1, merged_segment[i].Segment.X2 - merged_segment[i].Segment.X1)) > 0)
{
merged_segment[i] = new SegmentExtended(new PointD(xMin, yMin), new PointD(xMax, yMax), merged_segment[i].Color, merged_segment[i].Width);
}
else
{
merged_segment[i] = new SegmentExtended(new PointD(xMin, yMax), new PointD(xMax, yMin), merged_segment[i].Color, merged_segment[i].Width);
}
/// On supprime le segment fusionné
segments.RemoveAt(j);
}
}
}
}
}
return(merged_segment);
}
public static bool testIfSegmentArePerpendicular(SegmentExtended segment_1, SegmentExtended segment_2, double thresold = 3 *(Math.PI / 180))
{
double segment_1_angle = Toolbox.ModuloPiAngleRadian(Math.Atan2(segment_1.Segment.Y2 - segment_1.Segment.Y1, segment_1.Segment.X2 - segment_1.Segment.X1));
double segment_2_angle = Toolbox.ModuloPiAngleRadian(Toolbox.ModuloPiAngleRadian(Math.Atan2(segment_2.Segment.Y2 - segment_2.Segment.Y1, segment_2.Segment.X2 - segment_2.Segment.X1)) + Math.PI / 2);
if (segment_1_angle - thresold <= segment_2_angle && segment_1_angle + thresold >= segment_2_angle)
{
return(true);
}
else
{
return(false);
}
}
public static List <List <SegmentExtended> > FindFamilyOfSegment(List <SegmentExtended> list_of_segments, double minimum_size = 0.0)
{
List <SegmentExtended> copy_of_list_of_segment = list_of_segments;
List <List <SegmentExtended> > list_of_family = new List <List <SegmentExtended> >();
while (copy_of_list_of_segment.Count > 0)
{
SegmentExtended selected_segment = copy_of_list_of_segment[0];
if (Toolbox.Distance(selected_segment.Segment.X1, selected_segment.Segment.Y1, selected_segment.Segment.X2, selected_segment.Segment.Y2) > minimum_size)
{
int index_of_this_family = list_of_family.Count;
list_of_family.Add(new List <SegmentExtended>());
list_of_family[index_of_this_family].Add(selected_segment);
for (int j = 0; j < copy_of_list_of_segment.Count; j++)
{
SegmentExtended tested_segment = copy_of_list_of_segment[j];
if (testIfSegmentAreParrallel(selected_segment, tested_segment) || testIfSegmentArePerpendicular(selected_segment, tested_segment))
{
list_of_family[index_of_this_family].Add(tested_segment);
}
}
foreach (SegmentExtended element in list_of_family[index_of_this_family])
{
copy_of_list_of_segment.Remove(element);
}
}
else
{
copy_of_list_of_segment.RemoveAt(0);
}
}
return(list_of_family);
}
/// <summary>
/// Implemenation of segment merger "LSM: perceptually accurate linesegment merging"
/// https://doi.org/10.1117/1.JEI.25.6.061620
/// </summary>
/// <returns>Return the merged Segment or null if the condition are not </returns>
public static SegmentExtended LSMSegmentMerger(SegmentExtended Global_L1, SegmentExtended Global_L2, double xi_s, double tau_theta)
{
SegmentExtended L1 = Global_L1;
SegmentExtended L2 = Global_L2;
double l1 = Toolbox.Distance(L1);
double l2 = Toolbox.Distance(L2);
double theta1 = Toolbox.Angle(L1);
double theta2 = Toolbox.Angle(L2);
if (l1 < l2)
{
/// Yeah i know i could have made it here but for now, it's fancier to do this
Toolbox.SwapNum(ref L1, ref L2);
Toolbox.SwapNum(ref l1, ref l2);
Toolbox.SwapNum(ref theta1, ref theta2);
}
PointD L1_a = new PointD(L1.Segment.X1, L1.Segment.Y1);
PointD L1_b = new PointD(L1.Segment.X2, L1.Segment.Y2);
PointD L2_a = new PointD(L2.Segment.X1, L2.Segment.Y1);
PointD L2_b = new PointD(L2.Segment.X2, L2.Segment.Y2);
/// Now we Compute d (c1 and c2 are useless)
Tuple <PointD, PointD, double> F1F2D = ComputeAndReturnF1F2AndD(L1_a, L1_b, L2_a, L2_b);
PointD f1 = F1F2D.Item1;
PointD f2 = F1F2D.Item2;
double d = F1F2D.Item3;
double tau_s = xi_s * l1;
if (d > tau_s)
{
/// We don't merge
return(null);
}
/// Now we compute the adaptive angluar thresold tau_theta_prime
double normalise_l2 = l2 / l1;
double normalise_d = d / tau_s;
double lambda = normalise_l2 + normalise_d;
double tau_theta_prime = (1 - 1 / (1 + Math.Exp(-2 * (lambda - 1.5)))) * tau_theta;
double theta = Math.Abs(theta2 - theta1);
if ((theta < tau_theta_prime) || (theta > (Math.PI - tau_theta_prime)))
{
SegmentExtended M = new SegmentExtended(f1, f2, L1.Color, L1.Width);
double theta_M = Toolbox.Angle(M);
if (Math.Abs(theta1 - theta_M) <= tau_theta / 2)
{
/// We merge
return(M);
}
}
return(null);
}
public void AddSegmentExtended(int id, SegmentExtended s)
{
segmentList.Add(s);
}
