public PointPatternMatchResult GetPointPatternMatchResult(PointsPatternSet compareTo, PointsPatternSet points)
{
PointPatternMatchResult comparisonResults = new PointPatternMatchResult();
if (compareTo.Points.Length == 1 || points.Points.Length <= 1)
{
if (points.Points.Length == compareTo.Points.Length)
{
comparisonResults.Probability = 100d;
}
else
{
comparisonResults.Probability = 0d;
}
}
else
{
double[] aDeltas = new double[Precision];
double[] aCompareToAngles = compareTo.GetAngularMargins(Precision);
double[] aCompareAngles = points.GetAngularMargins(Precision);
for (int i = 0; i <= aCompareToAngles.Length - 1; i++)
{
aDeltas[i] = PointPatternMath.GetAngularDelta(aCompareToAngles[i], aCompareAngles[i]);
}
// Create new PointPatternMatchResult object to hold results from comparison
comparisonResults.Probability = PointPatternMath.GetProbabilityFromAngularDelta(aDeltas.Average());
}
comparisonResults.Name = compareTo.Name;
// Return results of the comparison
return(comparisonResults);
}
} //
#endregion
#region Public Methods
public PointPatternMatchResult[] GetPointPatternMatchResults(Point[] Points)
{
// Create a list of PointPatternMatchResults to hold final results and group results of point pattern set comparison
List <PointPatternMatchResult> comparisonResults = new List <PointPatternMatchResult>(PointPatternSet.Count());
var targetPattern = new PointsPatternSet(null, Points);
// Enumerate each point patterns
foreach (var pointPatternSet in PointPatternSet)
{
// Calculate probability of each point pattern
comparisonResults.Add(GetPointPatternMatchResult(pointPatternSet, targetPattern));
}
// Return comparison results ordered by highest probability
return(comparisonResults.ToArray());//.OrderByDescending(ppmr => ppmr.Probability).
}
