Inheritance diagram for ml::SimilarIntensitiesClusterAlgorithm< DATATYPE >:

Public Member Functions
	SimilarIntensitiesClusterAlgorithm (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, SimilarIntensitiesClusterAlgorithm< 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

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 *)

Additional Inherited Members
Public Types inherited from ml::ClusterAlgorithm< DATATYPE, SimilarIntensitiesClusterAlgorithm< 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, SimilarIntensitiesClusterAlgorithm< DATATYPE > >
MLuint	updateClusterRefForNeighbor (void *neighborVoxelPtr, MLint x, MLint y, MLint z, DATATYPE currentValue, MLuint currentClusterRef)
MLErrorCode	calcClustersForSlices ()
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, SimilarIntensitiesClusterAlgorithm< 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::SimilarIntensitiesClusterAlgorithm< DATATYPE >

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

Definition at line 30 of file mlSimilarIntensitiesClusterAlgorithm.h.

Constructor & Destructor Documentation

◆ SimilarIntensitiesClusterAlgorithm()

template<typename DATATYPE>

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