public override ICData Run()
{
List<Point> sourcePoints = Utilities.ExtractPoints(m_Image1, TresholdColor);
List<Point> targetPoints = Utilities.ExtractPoints(m_Image2, TresholdColor);
m_sourceMatrix = Utilities.ListToMatrix(sourcePoints);
m_targetMatrix = Utilities.ListToMatrix(targetPoints);
m_commonSize = new Size(Math.Max(m_Image1.Width, m_Image2.Width), Math.Max(m_Image1.Height, m_Image2.Height));
PCAMatching matching = new PCAMatching(new DoubleMatrix((Matrix<double>)m_sourceMatrix.Clone()), m_targetMatrix);
matching.Calculate();
CPCAresultData retResult = new CPCAresultData(m_sourceMatrix, matching.Result, m_commonSize, matching);
retResult.IncludeSource = IncludeSource;
return retResult;
}
public override ICData Run()
{
Size StartingCommonSize = new Size(Math.Max(m_Image1.Width, m_Image2.Width), Math.Max(m_Image1.Height, m_Image2.Height));
//Preparing structures
List<Point> sourcePoints = Utilities.ExtractPoints(m_Image1, TresholdColor);
List<Point> targetPoints = Utilities.ExtractPoints(m_Image2, TresholdColor);
DoubleMatrix source = Utilities.ListToMatrix(sourcePoints);
DoubleMatrix target = Utilities.ListToMatrix(targetPoints);
//1st station, PCA alignment
////////////////////////////
PCAMatching pcaMatching = new PCAMatching(source, target);
pcaMatching.Calculate();
target = pcaMatching.Result;
//In between stages
DoubleMatrix minMax = PCA.Utils.ShiftToPositives(ref target, source);
minMax = PCA.Utils.ShiftToPositives(ref source, target);
sourcePoints = Utilities.MatrixToList(source);
targetPoints = Utilities.MatrixToList(target);
m_sourcePtArray = sourcePoints.ToArray();
m_targetPtArray = targetPoints.ToArray();
Size meshSize = new Size(
Math.Max((int)Math.Ceiling(minMax[sr_X, sr_MaxCol] + 2), StartingCommonSize.Width),
Math.Max((int)Math.Ceiling(minMax[sr_Y, sr_MaxCol] + 2), StartingCommonSize.Height));
//2nd station,Hausdorff Matching Points insertion
//////////////////////////////////////////////////
IntMatrix sourceBinaryMap = Utilities.ToBinaryMap(source,meshSize);
IntMatrix targetBinaryMap = Utilities.ToBinaryMap(target,meshSize);
HausdorffMatching hausdorffMatching = new HausdorffMatching(sourceBinaryMap, targetBinaryMap);
IntMatrix diffSource = hausdorffMatching.Calculate1on2();
IntMatrix diffTarget = hausdorffMatching.Calculate2on1();
//Preparing a logic for point selection bank
List<Point> currList = null;
Func<int, int, int, int> pointInsertionLogic = (row, col, value) =>
{
for (int i = 2; i < value; ++i)
{
currList.Add(new Point(col, row));
}
return value;
};
//Applying this logic
m_SourceBank = new List<Point>();
currList = m_SourceBank;
diffSource.Iterate(pointInsertionLogic);
m_TargetBank = new List<Point>();
currList = m_TargetBank;
diffTarget.Iterate(pointInsertionLogic);
//3rd station ShapeContext Matching
///////////////////////////////////
ShapeContextMatching shapeContextMatching = new ShapeContextMatching(m_sourcePtArray, m_targetPtArray, meshSize, SelectSamplesLogic);
shapeContextMatching.AlignmentLogic = shapeContextMatching.StandardAlignmentLogic;
if (ShapeContextWarpDistanceTreshold > 0)
{
shapeContextMatching.DistanceTreshold = ShapeContextWarpDistanceTreshold;
}
shapeContextMatching.Calculate();
CShapeContextResultData retResult =
new CShapeContextResultData(
m_sourcePtArray,
m_targetPtArray,
meshSize,
shapeContextMatching.LastSourceSamples,
shapeContextMatching.LastTargetSamples);
return retResult;
}
public CPCAresultData(DoubleMatrix i_Source,DoubleMatrix i_Target,Size i_ImageSize,PCAMatching i_matching)
{
///Determine global shifting if required, and calculating the image size according to manipulated data
m_CommonSize = ShiftToPozitives(ref i_Source, ref i_Target, i_ImageSize);
///Creating new bitmap and setting fields
m_ResultlingBitmap = new Bitmap(m_CommonSize.Width, m_CommonSize.Height);
m_Source = i_Source;
m_Target = i_Target;
SourceColor = Utilities.sr_defaultSourceColor;
TargetColor = Utilities.sr_defaultTargetColor;
m_Matching = i_matching;
}