Uses of Class
org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsPooled
| Package | Description |
|---|---|
| org.anchoranalysis.image.inference.bean.segment.instance |
Instance-segmentation of a
Stack. |
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Uses of SegmentStackIntoObjectsPooled in org.anchoranalysis.image.inference.bean.segment.instance
Subclasses of SegmentStackIntoObjectsPooled in org.anchoranalysis.image.inference.bean.segment.instance Modifier and Type Class Description classSegmentStackIntoObjectsScaleDecode<T,S extends ImageInferenceModel<T>>ASegmentStackIntoObjectsScaleDecodethat scales the input image, before performing inference, and then decodes the output.classSuppressNonMaximum<T extends InferenceModel>Applies a segmentation procedure followed by non-maximum suppression.Methods in org.anchoranalysis.image.inference.bean.segment.instance that return SegmentStackIntoObjectsPooled Modifier and Type Method Description SegmentStackIntoObjectsPooled<T>SuppressNonMaximum. getSegment()The segmentation algorithm that is applied as an input to non-maximum suppression.Methods in org.anchoranalysis.image.inference.bean.segment.instance with parameters of type SegmentStackIntoObjectsPooled Modifier and Type Method Description voidSuppressNonMaximum. setSegment(SegmentStackIntoObjectsPooled<T> segment)The segmentation algorithm that is applied as an input to non-maximum suppression.Constructors in org.anchoranalysis.image.inference.bean.segment.instance with parameters of type SegmentStackIntoObjectsPooled Constructor Description SuppressNonMaximum(SegmentStackIntoObjectsPooled<T> segment)Creates with a particular segmentation algorithm as an input.SuppressNonMaximum(SegmentStackIntoObjectsPooled<T> segment, ReduceElements<org.anchoranalysis.image.voxel.object.ObjectMask> reduce, boolean separateEachLabel)