Uses of Class
trainableSegmentation.FeatureStackArray

Packages that use FeatureStackArray

Package	Description
trainableSegmentation
trainableSegmentation.unsupervised

Uses of FeatureStackArray in trainableSegmentation

Methods in trainableSegmentation that return FeatureStackArray

Modifier and Type	Method and Description
FeatureStackArray	WekaSegmentation.getFeatureStackArray() Get the current feature stack array
FeatureStackArray	FeatureStack3D.getFeatureStackArray() Convert FeatureStack3D into a feature stack array (for 2D stacks).

Methods in trainableSegmentation with parameters of type FeatureStackArray

Modifier and Type	Method and Description
boolean	WekaSegmentation.addBinaryData(List<org.jogamp.vecmath.Point3f>[] classPoints, FeatureStackArray fsa, String whiteClassName, String blackClassName) Add instances to two classes from lists of coordinates.
boolean	WekaSegmentation.addRandomBalancedBinaryData(List<org.jogamp.vecmath.Point3f>[] classPoints, FeatureStackArray fsa, ij.ImagePlus weights, String whiteClassName, String blackClassName, int numSamples) Add instances to two classes from lists of coordinates in a random and balanced way.
boolean	WekaSegmentation.addRandomBalancedBinaryData(List<org.jogamp.vecmath.Point3f>[] classPoints, FeatureStackArray fsa, String whiteClassName, String blackClassName, int numSamples) Add instances to two classes from lists of coordinates in a random and balanced way.
ij.ImagePlus	WekaSegmentation.applyClassifier(FeatureStackArray fsa, int numThreads, boolean probabilityMaps) Apply current classifier to a set of feature vectors (given in a feature stack array).
ij.ImagePlus	WekaSegmentation.applyClassifier(ij.ImagePlus imp, FeatureStackArray fsa, int numThreads, boolean probabilityMaps) Apply current classifier to a given image with precomputed features.
void	WekaSegmentation.setFeatureStackArray(FeatureStackArray fsa) Assign an arbitrary filter stack array

Uses of FeatureStackArray in trainableSegmentation.unsupervised

Methods in trainableSegmentation.unsupervised that return FeatureStackArray

Modifier and Type	Method and Description
FeatureStackArray	ColorClustering.createFSArray(ij.ImagePlus image) Create FeatureStackArray based on provided image and selected channels (private variable)
FeatureStackArray	ColorClustering.getFeatureStackArray() Get FeatureStackArray that is being used

Methods in trainableSegmentation.unsupervised with parameters of type FeatureStackArray

Modifier and Type	Method and Description
ij.ImagePlus	ColorClustering.createClusteredImage(FeatureStackArray featureStackArray) Creates clustered image based on provided FeatureStackArray and using private clusterer, returns as ImagePlus
ij.ImagePlus	ColorClustering.createProbabilityMaps(FeatureStackArray featureStackArray) Create probability map based on provided features and current cluster.
void	ColorClustering.setFeatureStackArray(FeatureStackArray featureStackArray) Set FeatureStackArray that is to be used