Modifier and Type | Class and Description |
---|---|
class |
BinarySegmentation
Performs a segmentation on voxels so that each voxel has an on or off state after
the operation.
|
class |
BinarySegmentationReference
Uses an existing
BinarySegmentation that is located by a unique identifier. |
class |
BinarySegmentationThreshold
Implementation of
BinarySegmentation that performs global
thresholding. |
class |
BinarySegmentationUnary
An implementation of
BinarySegmentation that delegates to one other BinarySegmentation . |
Modifier and Type | Class and Description |
---|---|
class |
SegmentChannelIntoObjects
A base class for algorithms to segment a channel into one or more objects.
|
class |
SegmentChannelIntoObjectsUnary
Implementation of
SegmentChannelIntoObjects that calls a single delegate SegmentChannelIntoObjects . |
Modifier and Type | Class and Description |
---|---|
class |
SegmentStackIntoObjectsPooled<T extends InferenceModel>
A base class for algorithms to segment a stack into one or more objects - using a pool of models
|
class |
SegmentStackIntoObjectsScaleDecode<T,S extends ImageInferenceModel<T>>
A
SegmentStackIntoObjectsScaleDecode that scales the input image, before performing
inference, and then decodes the output. |
class |
SuppressNonMaximum<T extends InferenceModel>
Applies a segmentation procedure followed by non-maximum suppression.
|
Modifier and Type | Class and Description |
---|---|
class |
AtScale
Perform a segmentation at a different scale, and then fit the results back to the original scale.
|
class |
ConnectedComponentsFromBinarySegmentation
Performs a binary-segmentation of the channel and converts its connected-components into objects
|
class |
Filter
Applies an object-filter to the results of an upstream segmentation.
|
class |
ImposeMinima
Imposes minima in seed locations on the input-channel before performing the segmentation
|
class |
Mser
Applies the MSER algorithm from imglib2
|
class |
SegmentOnMaximumIntensityAndExpandInZ
Perform a segmentation in a MIP instead of z-stacks, and fits the result back into a 3D
segmentation.
|
Modifier and Type | Class and Description |
---|---|
class |
WatershedYeong
A 'rainfall' watershed algorithm
|
Modifier and Type | Class and Description |
---|---|
class |
Invert
Performs a segmentation and inverts and on and off bytes
|
class |
Repeat |
class |
Sequence
Performs a sequence of succesive segmentations
|
class |
ThresholdAgainstChannel
Thresholds each voxels by comparing against another channel that has per-voxel thresholds
|
Modifier and Type | Class and Description |
---|---|
class |
FloodFillEachIntensityLevel
Creates an object for each separate intensity-value (beginning at
startingColor ) by
flood-filling. |
Modifier and Type | Class and Description |
---|---|
class |
SegmentThresholdAboveMinBound |
Modifier and Type | Class and Description |
---|---|
class |
SegmentObjectsFromONNXModel
Performs instance-segmentation using the ONNX Runtime and an
.onnx model file. |
Modifier and Type | Class and Description |
---|---|
class |
SegmentObjectsFromTensorFlowModel
Performs instance-segmentation using OpenCV's DNN module and a TensorFlow
.pb SavedModel file. |
Copyright © 2010–2023 Owen Feehan, ETH Zurich, University of Zurich, Hoffmann-La Roche. All rights reserved.