Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
TexturalParameterExtractor.resultsTable |
private MTBTableModel |
ArealParameterExtractor.resultsTable |
Modifier and Type | Method and Description |
---|---|
private MTBTableModel |
TexturalParameterExtractor.makeTable() |
private MTBTableModel |
ArealParameterExtractor.makeTable() |
Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
PaCeQuant.resultFeatureTable
Table with region features.
|
Modifier and Type | Field and Description |
---|---|
private Vector<MTBTableModel> |
PaCeQuant.resultLobeFeatureTables
(Optional) set of tables with type information and features per lobe.
|
Modifier and Type | Method and Description |
---|---|
private MTBTableModel |
PaCeQuant.calculateRegionFeatures(MTBRegion2DSet regions,
MTBImage labelImg)
Extracts features for all detected and valid cell regions.
|
protected MTBTableModel |
PaCeQuant.runFeatureExtractionPhase(MTBImage img,
MTBRegion2DSet validRegions,
MTBImage labelImg)
Extracts features from given set of regions and corresponding images
|
Modifier and Type | Class and Description |
---|---|
class |
Mica2DTableModel
Implementation of a TableModel for the Granule Detector
result table.
|
Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
NeuriteDetector2D.detectionResultTable |
private MTBTableModel |
NeuriteDetector2DAlgos.resultTable
Result table showing the the detection and morphology measurements.
|
Modifier and Type | Method and Description |
---|---|
MTBTableModel |
NeuriteDetector2DAlgos.getResultTable()
Get final result table of morphology measurements.
|
MTBTableModel |
NeuriteDetector2D.getResultTable()
Get the result table of the detected neurites.
|
private MTBTableModel |
NeuriteDetector2D.makeTable()
Create the result table and include the specific table header.
|
Constructor and Description |
---|
NeuriteDetector2DAlgos(MTBImage _inputImage,
int _nucleiChannel,
int _nucleusSize,
double _nucleusRation,
int[] _neuronChannels,
double _niblackConstant,
int _maxFragmentDistance,
String _pathToFile,
String _resultDir,
NeuriteDetector2DAlgos.DetectorExternalEnergy _energyLabel,
double _alpha,
double _beta,
double _stepSize,
double _motionFraction,
int _maxIterations,
int _resampleConstant,
int _maxSpineLength,
int _neuriteMaskSize,
Color _neuriteColor,
MTBTableModel _table,
Boolean _verbose,
org.rosuda.JRI.Rengine _re)
Constructor.
|
Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
NeuronAnalyzer2D.detectionResultTable |
Modifier and Type | Method and Description |
---|---|
MTBTableModel |
NeuronAnalyzer2D.getDetectionResultTable()
Get the result table of the detected neurites.
|
Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
NuclearParticleDetector2D.resultTable |
Modifier and Type | Method and Description |
---|---|
MTBTableModel |
NuclearParticleDetector2D.getResultTable()
Get particle statistics.
|
Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
ScratchAssayAnalyzer.resultsTable |
Modifier and Type | Method and Description |
---|---|
private MTBTableModel |
ScratchAssayAnalyzer.makeTable()
create results table
|
private MTBTableModel |
ScratchAssaySVMTrainer.makeTable() |
Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
XylemGrower.resultsTable
A table containing information for each region
|
private MTBTableModel |
XylemDetector.resultsTable
A table containing information for each region
|
Modifier and Type | Method and Description |
---|---|
MTBTableModel |
XylemGrower.getResultsTable() |
private MTBTableModel |
XylemGrower.makeTable(MTBRegion2DSet regionSet,
MTBImage labelImg,
int imgWidth,
int imgHeight)
create results table
|
Modifier and Type | Method and Description |
---|---|
void |
XylemGrower.setResultsTable(MTBTableModel resultsTable) |
Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
KMeans.clusterLabels
List of assigned cluster indices, starting with 1.
|
private MTBTableModel |
KMeans.data
Data to be clustered.
|
Modifier and Type | Method and Description |
---|---|
MTBTableModel |
KMeans.getDataLabels()
Get assigned labels.
|
Modifier and Type | Method and Description |
---|---|
void |
KMeans.setInputData(MTBTableModel inputData)
Specify input data.
|
Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
MTBTableModelDataIOSwing.TableModelShowButton.data
Data to be displayed.
|
Constructor and Description |
---|
MTBTableWindow(MTBTableModel mtm)
Default constructor.
|
Modifier and Type | Method and Description |
---|---|
MTBTableModel |
MTBNeuriteSkelGraph.toSWC(String fileName,
MTBImageByte neuronImage)
Method to save neurite skeleton graph as SWC file.
|
Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
TileFeatureCalculatorResult.resultTable
Result table for visual result inspection.
|
private MTBTableModel |
MorphologyAnalyzer2D.table |
private MTBTableModel |
MorphologyAnalyzer3D.table |
Modifier and Type | Method and Description |
---|---|
MTBTableModel |
TileFeatureCalculatorResult.getResultTable()
Get result table.
|
MTBTableModel |
MorphologyAnalyzer2D.getTable() |
MTBTableModel |
MorphologyAnalyzer3D.getTable() |
Modifier and Type | Field and Description |
---|---|
private MTBTableModel |
Region2DSkeletonAnalyzer.resultFeatureTable
Table with region skeleton features.
|
Modifier and Type | Method and Description |
---|---|
MTBTableModel |
Region2DSkeletonAnalyzer.getResultTable()
Get table of calculated features.
|
Modifier and Type | Field and Description |
---|---|
protected MTBTableModel |
GroundtruthEvaluation.resultTable
Table with result data.
|
Modifier and Type | Method and Description |
---|---|
MTBTableModel |
GroundtruthEvaluation.getResultTable()
Get evaluation results.
|
Modifier and Type | Field and Description |
---|---|
protected MTBTableModel |
SnakeOptimizer.energyData |
Copyright © 2010–2020 Martin Luther University Halle-Wittenberg, Institute of Computer Science, Pattern Recognition and Bioinformatics. All rights reserved.