Modifier and Type | Field and Description |
---|---|
private MTBImageShort |
PaCeQuant.resultCellLabelImg
Label image of detected cell regions.
|
MTBImageShort |
PaCeQuant.SegmentationResult.resultLabelImg
Result image with labels of segmented regions.
|
MTBImageShort |
PaCeQuant.SegmentationResult.resultLableImgWithoutIDs
Label image without region ID strings.
|
Modifier and Type | Method and Description |
---|---|
protected static void |
PaCeQuant.drawStringToImage(MTBImageShort img,
String s,
int g,
int xPos,
int yPos)
Draws string at given position into image.
|
Modifier and Type | Field and Description |
---|---|
private MTBImageShort |
NucleusDetector2D.inImg
Reference to original image, for internal use only
|
private MTBImageShort |
NucleusSeparator2D.resultImg
Result label image of separated nuclei.
|
protected MTBImageShort |
NucleusSeparator2DAlgos.resultImg
Result label image of separated nuclei.
|
Modifier and Type | Method and Description |
---|---|
MTBImageShort |
NucleusSeparator2DPeakSearch.getLabelImage()
Returns gray-scale label image with nuclei regions.
|
MTBImageShort |
NucleusSeparator2D.getResultImage()
Returns result image, i.e. the segmentation mask.
|
MTBImageShort |
NucleusSeparator2DAlgos.getResultImg()
Get value of resultImg.
|
Modifier and Type | Method and Description |
---|---|
private void |
NucleusSeparator2D.prepareResultImage(MTBImageShort labelImage)
Prepare visualization of result.
|
void |
NucleusSeparator2DAlgos.setResultImg(MTBImageShort value)
Set value of resultImg.
|
Constructor and Description |
---|
NucleusSeparator2DPeakSearch(MTBImageShort grey)
Constructor with input image.
|
NucleusSeparator2DPeakSearch(MTBImageShort grey,
MTBImage label)
Constructor with gray-scale and binary image.
|
Modifier and Type | Field and Description |
---|---|
private MTBImageShort |
PlastidDetector2DParticlesUWT.resultLabelImage
Label image of detected plastid regions with stromuli.
|
Modifier and Type | Field and Description |
---|---|
private MTBImageShort |
StromulesDetector2D.resultLabelImage
Label image of detected plastid regions with stromuli.
|
Modifier and Type | Method and Description |
---|---|
private void |
StromulesDetector2D.detectStromuliRidgeModel(MTBImageShort roiImgDilated,
MTBRegion2DSet dilatedROIs)
Detect stromule candidates applying Steger operator.
|
private void |
StromulesDetector2D.detectStromuliStatisticalModel(MTBImageShort roiImg,
MTBImage result_stack,
double[] comXs,
double[] comYs,
double[] orient)
Detect stromules applying a statistical model.
|
Modifier and Type | Field and Description |
---|---|
private MTBImageShort |
BordersOnLabeledComponents.resultImage
Image of extracted borders.
|
Modifier and Type | Method and Description |
---|---|
MTBImageShort |
BordersOnLabeledComponents.getResultImage()
Get result image with extracted borders.
|
Modifier and Type | Field and Description |
---|---|
protected MTBImageShort |
GroundtruthEvaluation.gtLabelImage
Preprocessed groundtruth label image with short pixel type.
|
protected MTBImageShort |
GroundtruthEvaluation.segLabelImage
Preprocessed segmentation label image with short pixel type.
|
Modifier and Type | Field and Description |
---|---|
protected MTBImageShort |
EvaluationMeasure.gtLabelImage
Groundtruth labeling.
|
protected MTBImageShort |
EvaluationMeasure.segLabelImage
Label image of segmentation result.
|
Constructor and Description |
---|
EvaluationMeasure(MTBImageShort sLabels,
MTBImageShort gLabels)
Constructor.
|
Measure_DetectionErrors(MTBImageShort segImg,
MTBImageShort gtImg,
ArrayList<ArrayList<Point>> _segContours,
ArrayList<ArrayList<Point>> _gtContours,
ArrayList<Integer> _segRegions,
ArrayList<Integer> _gtRegions,
byte[][] mmatrix)
Constructor with arguments.
|
Measure_HausdorffDistance(MTBImageShort segImg,
MTBImageShort gtImg,
ArrayList<ArrayList<Point>> _segContours,
ArrayList<ArrayList<Point>> _gtContours,
ArrayList<Integer> _segRegions,
ArrayList<Integer> _gtRegions,
byte[][] mmatrix)
Constructor with arguments.
|
Measure_OdetsCriteria(MTBImageShort segImg,
MTBImageShort gtImg,
ArrayList<ArrayList<Point>> _segContours,
ArrayList<ArrayList<Point>> _gtContours,
ArrayList<Integer> _segRegions,
ArrayList<Integer> _gtRegions,
byte[][] mmatrix,
int nValue)
Constructor with arguments.
|
Measure_PrattsFigureOfMerit(MTBImageShort segImg,
MTBImageShort gtImg,
ArrayList<ArrayList<Point>> _segContours,
ArrayList<ArrayList<Point>> _gtContours,
ArrayList<Integer> _segRegions,
ArrayList<Integer> _gtRegions,
byte[][] mmatrix)
Constructor with arguments.
|
Measure_RecallPrecisionF(MTBImageShort _segLabels,
MTBImageShort _gtLabels,
TreeSet<Integer> _labelsetSG,
TreeSet<Integer> _labelsetGT,
int[] _gtIDs,
int[] _sgIDs,
HashMap<Integer,Integer> _sizesGT,
HashMap<Integer,Integer> _sizesSG,
int _minRegionCount,
int _maxRegionCount,
double[][] _scoreMatrix,
byte[][] _matchingMatrix)
Default constructor with parameters.
|
Modifier and Type | Field and Description |
---|---|
private MTBImageShort |
LabelImageConverter.labelImageGray
Output gray-scale image.
|
Modifier and Type | Method and Description |
---|---|
MTBImageShort |
LabelImageConverter.getResultLabelImage()
Returns result label image.
|
Modifier and Type | Field and Description |
---|---|
private MTBImageShort |
LevelsetSolveNonPDE.resultImage |
Modifier and Type | Field and Description |
---|---|
private Vector<MTBImageShort> |
LevelsetSolveNonPDE.intermediateLS |
Modifier and Type | Method and Description |
---|---|
MTBImageShort |
MTBLevelsetMembership.getMTBImage()
Creates a bi-level MTBImageShort of the level set function.
|
MTBImageShort |
MTBLevelsetMembership.getMTBImageLabel()
Creates a MTBImageShort of the level set function.
|
MTBImageShort |
LevelsetSolveNonPDE.getResultImage()
Get value of resultImage.
|
Modifier and Type | Method and Description |
---|---|
Vector<MTBImageShort> |
LevelsetSolveNonPDE.getIntermediateLS()
Get value of intermediateLS.
|
Modifier and Type | Method and Description |
---|---|
MTBImageShort |
MTBLevelsetFunctionPDE.getPhiImage()
Get visualization of current level set function.
|
Copyright © 2010–2020 Martin Luther University Halle-Wittenberg, Institute of Computer Science, Pattern Recognition and Bioinformatics. All rights reserved.