/*-
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* Fiji distribution of ImageJ for the life sciences.
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package mpicbg.spim.registration.detection.descriptor;
import fiji.util.NNearestNeighborSearch;
import java.util.ArrayList;
import mpicbg.pointdescriptor.LocalCoordinateSystemPointDescriptor;
import mpicbg.pointdescriptor.ModelPointDescriptor;
import mpicbg.pointdescriptor.exception.NoSuitablePointsException;
import mpicbg.pointdescriptor.matcher.Matcher;
import mpicbg.pointdescriptor.matcher.SimpleMatcher;
import mpicbg.pointdescriptor.model.TranslationInvariantModel;
import mpicbg.pointdescriptor.model.TranslationInvariantRigidModel3D;
import mpicbg.pointdescriptor.similarity.SimilarityMeasure;
import mpicbg.pointdescriptor.similarity.SquareDistance;
import mpicbg.spim.mpicbg.PointMatchGeneric;
import mpicbg.spim.registration.detection.DetectionView;
public class CoordSystemSecure3d<T extends DetectionView<?,T>> extends CoordSystem3d<T>
{
final int numExtractions;
public CoordSystemSecure3d( final int numExtractions )
{
this.numExtractions = numExtractions;
}
protected void computeMatching(
final ArrayList< LocalCoordinateSystemPointDescriptor< T > > descriptors1,
final NNearestNeighborSearch< LocalCoordinateSystemPointDescriptor< T > > nnsearch2,
final ArrayList<PointMatchGeneric<T>> correspondences,
final double differenceThreshold,
final double ratioOfDistance )
{
//System.out.println( "BeadA" + "\t" + "BeadB1" + "\t" + "BeadB2" + "\t" + "Diff1" + "\t" + "Diff2" );
for ( final LocalCoordinateSystemPointDescriptor< T > descriptorA : descriptors1 )
{
final ModelPointDescriptor< T > modelPointDescriptorA = transformDescriptor( descriptorA );
if( modelPointDescriptorA == null )
continue;
final LocalCoordinateSystemPointDescriptor< T > matches[] = nnsearch2.findNNearestNeighbors( descriptorA, 2 + numExtractions );
// create standard model point descriptors from the coordinate system descriptors
final ArrayList< ModelPointDescriptor< T > > modelPointDescriptorsB = new ArrayList<ModelPointDescriptor<T>>();
for ( LocalCoordinateSystemPointDescriptor< T > match : matches )
{
final ModelPointDescriptor< T > modelPointDescriptorB = transformDescriptor( match );
if ( modelPointDescriptorB != null )
modelPointDescriptorsB.add( modelPointDescriptorB );
}
if ( modelPointDescriptorsB.size() < 2 )
continue;
double bestDifference = Double.MAX_VALUE;
double secondBestDifference = Double.MAX_VALUE;
ModelPointDescriptor< T > bestMatch = null;
ModelPointDescriptor< T > secondBestMatch = null;
for ( final ModelPointDescriptor< T > modelPointDescriptorB : modelPointDescriptorsB )
{
final double difference = modelPointDescriptorA.descriptorDistance( modelPointDescriptorB );
if ( difference < secondBestDifference )
{
secondBestDifference = difference;
secondBestMatch = modelPointDescriptorB;
if ( secondBestDifference < bestDifference )
{
double tmpDiff = secondBestDifference;
ModelPointDescriptor< T > tmpMatch = secondBestMatch;
secondBestDifference = bestDifference;
secondBestMatch = bestMatch;
bestDifference = tmpDiff;
bestMatch = tmpMatch;
}
}
}
if ( bestDifference < differenceThreshold && bestDifference * ratioOfDistance <= secondBestDifference )
{
final T detectionA = descriptorA.getBasisPoint();
final T detectionB = bestMatch.getBasisPoint();
//System.out.println( beadA.getID() + "\t" + matches[ 0 ].getBasisPoint().getID() + "\t" + matches[ 1 ].getBasisPoint().getID() + "\t" + bestDifference + "\t" + secondBestDifference );
detectionA.addPointDescriptorCorrespondence( detectionB, 1 );
detectionB.addPointDescriptorCorrespondence( detectionA, 1 );
correspondences.add( new PointMatchGeneric<T>( detectionA, detectionB, 1 ) );
}
}
//System.exit( 0 );
}
final private static TranslationInvariantModel<?> model = new TranslationInvariantRigidModel3D();
final private static Matcher matcher = new SimpleMatcher( 3 );
final private static SimilarityMeasure similarityMeasure = new SquareDistance();
final private static <T extends DetectionView<?,T>> ModelPointDescriptor< T > transformDescriptor( final LocalCoordinateSystemPointDescriptor< T > desc )
{
final T basisPoint = desc.getBasisPoint();
final ArrayList< T > orderedNearestNeighboringPoints = desc.getOrderedNearestNeighboringPoints();
try
{
return new ModelPointDescriptor<T>( basisPoint, orderedNearestNeighboringPoints, model, similarityMeasure, matcher );
}
catch (NoSuitablePointsException e)
{
return null;
}
}
}