Object

org.anchoranalysis.bean.AnchorBean<B>

org.anchoranalysis.bean.initializable.InitializableBean<T,org.anchoranalysis.image.bean.nonbean.init.ImageInitialization>

org.anchoranalysis.image.bean.ImageBean<T>

org.anchoranalysis.image.bean.segment.SegmentationBean<SegmentStackIntoObjectsPooled<T>>

org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsPooled<T>

org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum<T>

Type Parameters:: T - model-type

public class SuppressNonMaximum<T extends InferenceModel>
extends SegmentStackIntoObjectsPooled<T>

Applies a segmentation procedure followed by non-maximum suppression.

Author:: Owen Feehan

Constructor Summary

Constructors
Constructor	Description
`SuppressNonMaximum()`
`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)`

Method Summary

Modifier and Type	Method	Description
`ConcurrentModelPool<T>`	`createModelPool(ConcurrencyPlan plan, Logger logger)`	Creates the model pool (to be used by multiple threads).
`ReduceElements<org.anchoranalysis.image.voxel.object.ObjectMask>`	`getReduce()`	The algorithm for reducing the number of object-masks.
`SegmentStackIntoObjectsPooled<T>`	`getSegment()`	The segmentation algorithm that is applied as an input to non-maximum suppression.
`boolean`	`isSeparateEachLabel()`	If true, each label is reduced separately.
`SegmentedObjects`	`segment(Stack stack, ConcurrentModelPool<T> modelPool, ExecutionTimeRecorder executionTimeRecorder)`	Segments a stack to produce an object-collection.
`void`	`setReduce(ReduceElements<org.anchoranalysis.image.voxel.object.ObjectMask> reduce)`	The algorithm for reducing the number of object-masks.
`void`	`setSegment(SegmentStackIntoObjectsPooled<T> segment)`	The segmentation algorithm that is applied as an input to non-maximum suppression.
`void`	`setSeparateEachLabel(boolean separateEachLabel)`	If true, each label is reduced separately.

Methods inherited from class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsPooled

resolve, segment

Methods inherited from class org.anchoranalysis.bean.initializable.InitializableBean

getInitialization, getLogger, getPropertyInitializer, initialize, initializeRecursive, initRecursiveWithInitializer, isInitialized, onInitialization

Methods inherited from class org.anchoranalysis.bean.AnchorBean

checkMisconfigured, describeBean, describeChildren, duplicateBean, fields, findFieldsOfClass, getBeanName, getLocalPath, localise, toString

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Details
- SuppressNonMaximum
  
  public SuppressNonMaximum(SegmentStackIntoObjectsPooled<T> segment)
  
  Creates with a particular segmentation algorithm as an input.
  
  Parameters:
  
  segment - the segmentation algorithm to use, before applying non-maximum suppression.
- SuppressNonMaximum
  
  public SuppressNonMaximum()
- SuppressNonMaximum
  
  public SuppressNonMaximum(SegmentStackIntoObjectsPooled<T> segment, ReduceElements<org.anchoranalysis.image.voxel.object.ObjectMask> reduce, boolean separateEachLabel)
Method Details
- createModelPool
  
  public ConcurrentModelPool<T> createModelPool(ConcurrencyPlan plan, Logger logger) throws CreateModelFailedException
  
  Description copied from class: SegmentStackIntoObjectsPooled
  
  Creates the model pool (to be used by multiple threads).
  
  Specified by:
  
  createModelPool in class SegmentStackIntoObjectsPooled<T extends InferenceModel>
  
  Parameters:
  
  plan - the number and types of processors available for concurrent execution.
  
  logger - the logger.
  
  Returns:
  
  the newly created model pool.
  
  Throws:
  
  CreateModelFailedException - if a model cannot be created.
- segment
  
  public SegmentedObjects segment(Stack stack, ConcurrentModelPool<T> modelPool, ExecutionTimeRecorder executionTimeRecorder) throws org.anchoranalysis.image.bean.nonbean.segment.SegmentationFailedException
  
  Description copied from class: SegmentStackIntoObjectsPooled
  
  Segments a stack to produce an object-collection.
  Any created objects will always exist inside the stack's Extent.
  
  Specified by:
  
  segment in class SegmentStackIntoObjectsPooled<T extends InferenceModel>
  
  Parameters:
  
  stack - the stack to segment.
  
  modelPool - the pool of model instances which can each be used for inference (in parallel).
  
  executionTimeRecorder - measures execution-times of particular operations.
  
  Returns:
  
  a collection of objects with corresponding confidence scores.
  
  Throws:
  
  org.anchoranalysis.image.bean.nonbean.segment.SegmentationFailedException - if anything goes wrong during the segmentation.
- getSegment
  
  public SegmentStackIntoObjectsPooled<T> getSegment()
  
  The segmentation algorithm that is applied as an input to non-maximum suppression.
- setSegment
  
  public void setSegment(SegmentStackIntoObjectsPooled<T> segment)
  
  The segmentation algorithm that is applied as an input to non-maximum suppression.
- getReduce
  
  public ReduceElements<org.anchoranalysis.image.voxel.object.ObjectMask> getReduce()
  
  The algorithm for reducing the number of object-masks.
- setReduce
  
  public void setReduce(ReduceElements<org.anchoranalysis.image.voxel.object.ObjectMask> reduce)
  
  The algorithm for reducing the number of object-masks.
- isSeparateEachLabel
  
  public boolean isSeparateEachLabel()
  
  If true, each label is reduced separately. if false, all labels are reduced together.
- setSeparateEachLabel
  
  public void setSeparateEachLabel(boolean separateEachLabel)
  
  If true, each label is reduced separately. if false, all labels are reduced together.

Class SuppressNonMaximum<T extends InferenceModel>