Package net.preibisch.mvrecon.process.fusion.intensityadjust

Class IntensityAdjustmentTools

java.lang.Object

net.preibisch.mvrecon.process.fusion.intensityadjust.IntensityAdjustmentTools

public class IntensityAdjustmentTools
extends Object

Constructor Summary

Constructors

Constructor	Description
IntensityAdjustmentTools()

Method Summary

Modifier and Type	Method	Description
static <M extends mpicbg.models.Model<M> & mpicbg.models.Affine1D<M>> HashMap<mpicbg.spim.data.sequence.ViewId,mpicbg.models.AffineModel1D>	computeIntensityAdjustment(mpicbg.spim.data.generic.AbstractSpimData<?> spimData, List<? extends mpicbg.spim.data.sequence.ViewId> viewIds, M intensityModel, net.imglib2.Interval bb, double downsampling, int maxMatches, Map<? extends mpicbg.spim.data.sequence.ViewId,mpicbg.models.AffineModel1D> existingAdjustments)
static boolean	containsAdjustments(IntensityAdjustments adjustments, Collection<? extends mpicbg.spim.data.sequence.ViewId> viewIds)
static <M extends mpicbg.models.Model<M> & mpicbg.models.Affine1D<M>> HashMap<mpicbg.spim.data.sequence.ViewId,mpicbg.models.AffineModel1D>	runGlobal(HashMap<net.imglib2.util.Pair<Integer,Integer>,ArrayList<mpicbg.models.PointMatch>> intensityMatches, HashMap<Integer,mpicbg.spim.data.sequence.ViewId> viewMap, M model)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

IntensityAdjustmentTools

public IntensityAdjustmentTools()

Method Details

containsAdjustments

public static boolean containsAdjustments(IntensityAdjustments adjustments,
 Collection<? extends mpicbg.spim.data.sequence.ViewId> viewIds)

computeIntensityAdjustment

public static <M extends mpicbg.models.Model<M> & mpicbg.models.Affine1D<M>>
HashMap<mpicbg.spim.data.sequence.ViewId,mpicbg.models.AffineModel1D> computeIntensityAdjustment(mpicbg.spim.data.generic.AbstractSpimData<?> spimData,
 List<? extends mpicbg.spim.data.sequence.ViewId> viewIds,
 M intensityModel,
 net.imglib2.Interval bb,
 double downsampling,
 int maxMatches,
 Map<? extends mpicbg.spim.data.sequence.ViewId,mpicbg.models.AffineModel1D> existingAdjustments)

runGlobal

public static <M extends mpicbg.models.Model<M> & mpicbg.models.Affine1D<M>>
HashMap<mpicbg.spim.data.sequence.ViewId,mpicbg.models.AffineModel1D> runGlobal(HashMap<net.imglib2.util.Pair<Integer,Integer>,ArrayList<mpicbg.models.PointMatch>> intensityMatches,
 HashMap<Integer,mpicbg.spim.data.sequence.ViewId> viewMap,
 M model)

Type Parameters:

M - - which model type

Parameters:

intensityMatches - - all pointmatches for the pairs of images

viewMap - - links images to ViewIds - integers need to be between 0 and viewMap.keySet().size() - 1

model - - the model to use

Returns:

the transformations for each image indexed by integer