| Package | Description |
|---|---|
| trainableSegmentation | |
| trainableSegmentation.unsupervised |
| 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).
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
WekaSegmentation.addBinaryData(List<Point3f>[] classPoints,
FeatureStackArray fsa,
String whiteClassName,
String blackClassName)
Add instances to two classes from lists of coordinates.
|
boolean |
WekaSegmentation.addRandomBalancedBinaryData(List<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<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
|
| 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
|
| 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
|
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