Implementation of a clustering algorithm checking for identical image intensity values. More...

#include <mlIdenticalIntensitiesClusterAlgorithm.h>

Inheritance diagram for ml::IdenticalIntensitiesClusterAlgorithm< DATATYPE >:

Public Member Functions
	IdenticalIntensitiesClusterAlgorithm (const ComputeClusterParameters &parameters, Clusters *clusters)

ML_FORCE_INLINE bool	isInTolerance (DATATYPE neighborValue, DATATYPE currentValue)
	Tolerance calculation for scalar images.

Public Member Functions inherited from ml::ClusterAlgorithm< DATATYPE, IdenticalIntensitiesClusterAlgorithm< DATATYPE > >
	ClusterAlgorithm (const ComputeClusterParameters &parameters, Clusters *clusters)
	Constructor to be used.

MLErrorCode	runClustering ()

MLErrorCode	processSlice (MLint zi, const ImageVector &inputImageExtent, TSubImage< MLint8 > &inMaskSlice)

Public Member Functions inherited from ml::ClusterAlgorithmBase
	ClusterAlgorithmBase (const ComputeClusterParameters &parameters, Clusters *clusters)
	Constructor to be used.

virtual	~ClusterAlgorithmBase ()
	Default virtual destructor.

bool	hasResults () const
	Returns whether getCluster() and getClusterOfVoxel() contains cluster data.

Static Public Member Functions
static ML_FORCE_INLINE DATATYPE	getVoxel (void *position)
	Get the typed voxel value for current position.

static ML_FORCE_INLINE MLdouble	getVoxelAsDouble (void *position)

Additional Inherited Members
Public Types inherited from ml::ClusterAlgorithm< DATATYPE, IdenticalIntensitiesClusterAlgorithm< DATATYPE > >
typedef DATATYPE	ClusterVoxelType
	The used type of the voxels, needed by derived classes.

Protected Types inherited from ml::ClusterAlgorithmBase
enum	{ _NR_OF_SUBIMAGES = 2 }
	We do not load the whole image into memory, only keep two slices at once. More...

Protected Member Functions inherited from ml::ClusterAlgorithm< DATATYPE, IdenticalIntensitiesClusterAlgorithm< DATATYPE > >
MLuint	updateClusterRefForNeighbor (void *neighborVoxelPtr, MLint x, MLint y, MLint z, DATATYPE currentValue, MLuint currentClusterRef)
	Checks if neighbor at position x,y,z belongs to the same cluster given by currentClusterRef.

MLErrorCode	calcClustersForSlices ()
	Template applying cluster calculations for one slice.

Protected Member Functions inherited from ml::ClusterAlgorithmBase
void	setInSliceVoxelType (MLDataType dt)
	Sets voxel type of input slices.

void	freeInSliceData ()
	Releases memory of input image slices.

void	storeNextSlice (SubImage &slice)
	Sets next image data, expects the data to be managed by memory manager.

MLErrorCode	loadNextSlice (MLint sliceNr, const ImageVector &inImgExt)
	Gets next image data.

MLErrorCode	loadMaskSlice (TSubImage< MLint8 > &slice, MLint sliceNr, const ImageVector &inImgExt) const
	Gets current slice of the mask image.

MLuint	mergeClusterReference (MLint x, MLint y, MLint z, MLuint currClusterRef)
	Merges a cluster reference currClusterRef for position (x,y,z).

void	setResultFlag (bool result)
	Sets internal result flag to result.

Static Protected Member Functions inherited from ml::ClusterAlgorithm< DATATYPE, IdenticalIntensitiesClusterAlgorithm< DATATYPE > >
static DATATYPE	convertBackgroundValue (MLdouble backgroundValue)

Protected Attributes inherited from ml::ClusterAlgorithmBase
enum ml::ClusterAlgorithmBase:: { ... }	NumInImagesEnum
	We do not load the whole image into memory, only keep two slices at once.

Clusters *	_clusters
	Result clusters.

SubImage	_currentSlices [_NR_OF_SUBIMAGES]
	do not load the whole image into memory, only keep two slices at once

ComputeClusterParameters	_parameters

Detailed Description

template<typename DATATYPE>
class ml::IdenticalIntensitiesClusterAlgorithm< DATATYPE >

Implementation of a clustering algorithm checking for identical image intensity values.

It uses internally two data structures. One (class ClusterRefVolume) holds references for every image voxel to a field of cluster informations (here ClusterRefCollection). Every image voxel will be checked whether it belongs to the background or if not, if it has neighbors with the same gray value. Merging adjacent cluster is done within ClusterRefCollection.

Definition at line 30 of file mlIdenticalIntensitiesClusterAlgorithm.h.

Constructor & Destructor Documentation

◆ IdenticalIntensitiesClusterAlgorithm()

template<typename DATATYPE >

ml::IdenticalIntensitiesClusterAlgorithm< DATATYPE >::IdenticalIntensitiesClusterAlgorithm	(	const ComputeClusterParameters &	parameters,
		Clusters *	clusters )