Package org.anchoranalysis.image.inference.bean.segment.instance

Instance-segmentation of a Stack.

See: Description

Class Summary

Class	Description
DecodeInstanceSegmentation<T>	Decodes inference output into segmented-objects.
SegmentStackIntoObjectsPooled<T extends InferenceModel>	A base class for algorithms to segment a stack into one or more objects - using a pool of models
SegmentStackIntoObjectsScaleDecode<T,S extends ImageInferenceModel<T>>	A SegmentStackIntoObjectsScaleDecode that scales the input image, before performing inference, and then decodes the output.
SuppressNonMaximum<T extends InferenceModel>	Applies a segmentation procedure followed by non-maximum suppression.

Package org.anchoranalysis.image.inference.bean.segment.instance Description

Instance-segmentation of a Stack.

i.e. a collection of object-masks is inferred from an image-stack.