Uses of Class
org.anchoranalysis.image.bean.segment.SegmentationBean
Packages that use SegmentationBean
Package
Description
Base classes to perform binary-segmentation.
Base classes to segment a channel into objects.
Instance-segmentation of a
Stack
.Implementations of
SegmentChannelIntoObjects
.Implementation of a Watershed transformation
based on Yeong et al. 2009.
Implementations of
BinarySegmentation
.Segmenting a
Stack
using the ONNX Runtime to produce
an ObjectCollection
.Segmentation of a
Stack
using OpenCV.-
Uses of SegmentationBean in org.anchoranalysis.image.bean.segment.binary
Subclasses of SegmentationBean in org.anchoranalysis.image.bean.segment.binaryModifier and TypeClassDescriptionclass
Performs a segmentation on voxels so that each voxel has an on or off state after the operation.class
Uses an existingBinarySegmentation
that is located by a unique identifier.class
Implementation ofBinarySegmentation
that performs global thresholding.class
An implementation ofBinarySegmentation
that delegates to one otherBinarySegmentation
. -
Uses of SegmentationBean in org.anchoranalysis.image.bean.segment.object
Subclasses of SegmentationBean in org.anchoranalysis.image.bean.segment.objectModifier and TypeClassDescriptionclass
A base class for algorithms to segment a channel into one or more objects.class
Implementation ofSegmentChannelIntoObjects
that calls a single delegateSegmentChannelIntoObjects
. -
Uses of SegmentationBean in org.anchoranalysis.image.inference.bean.segment.instance
Subclasses of SegmentationBean in org.anchoranalysis.image.inference.bean.segment.instanceModifier and TypeClassDescriptionclass
SegmentStackIntoObjectsPooled<T extends InferenceModel>
A base class for algorithms to segment a stack into one or more objects - using a pool of modelsclass
SegmentStackIntoObjectsScaleDecode<T,
S extends ImageInferenceModel<T>> ASegmentStackIntoObjectsScaleDecode
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. -
Uses of SegmentationBean in org.anchoranalysis.plugin.image.bean.object.segment.channel
Modifier and TypeClassDescriptionclass
Perform a segmentation at a different scale, and then fit the results back to the original scale.class
Performs a binary-segmentation of the channel and converts its connected-components into objectsclass
Applies an object-filter to the results of an upstream segmentation.class
Imposes minima in seed locations on the input-channel before performing the segmentationclass
Applies the MSER algorithm from imglib2class
Perform a segmentation in a MIP instead of z-stacks, and fits the result back into a 3D segmentation. -
Uses of SegmentationBean in org.anchoranalysis.plugin.image.bean.object.segment.channel.watershed.yeong
-
Uses of SegmentationBean in org.anchoranalysis.plugin.image.bean.segment.binary
Subclasses of SegmentationBean in org.anchoranalysis.plugin.image.bean.segment.binaryModifier and TypeClassDescriptionclass
Performs a segmentation and inverts and on and off bytesclass
Repeats a binary segmentation operation for a specified number of iterations.class
Performs a sequence of succesive segmentationsclass
Thresholds each voxels by comparing against another channel that has per-voxel thresholds -
Uses of SegmentationBean in org.anchoranalysis.plugin.imagej.bean.object.segment
Subclasses of SegmentationBean in org.anchoranalysis.plugin.imagej.bean.object.segmentModifier and TypeClassDescriptionclass
Creates an object for each separate intensity-value (beginning atstartingColor
) by flood-filling. -
Uses of SegmentationBean in org.anchoranalysis.plugin.onnx.bean.object.segment.stack
Subclasses of SegmentationBean in org.anchoranalysis.plugin.onnx.bean.object.segment.stackModifier and TypeClassDescriptionclass
Performs instance-segmentation using the ONNX Runtime and an.onnx
model file. -
Uses of SegmentationBean in org.anchoranalysis.plugin.opencv.bean.object.segment.stack
Modifier and TypeClassDescriptionclass
Performs instance-segmentation using OpenCV's DNN module and a TensorFlow.pb
SavedModel file.