Implementation of a clustering algorithm for vector data types. More...

Inheritance diagram for ml::SimilarVectorDirectionsClusterAlgorithm:

Public Types
typedef ClusterAlgorithm< constvoid *, SimilarVectorDirectionsClusterAlgorithm >::ClusterVoxelType	SimilarVectorDirectionsClusterVoxelType
	Voxel type to be used for the VectorClusterAlgorithm.

Public Types inherited from ml::ClusterAlgorithm< const void *, SimilarVectorDirectionsClusterAlgorithm >
typedef const void *	ClusterVoxelType
	The used type of the voxels, needed by derived classes.

Public Member Functions
	SimilarVectorDirectionsClusterAlgorithm (const ComputeClusterParameters &parameters, Clusters *clusters)
	Constructor.

MLErrorCode	runClustering ()

ML_FORCE_INLINE double	calcDotProduct (SimilarVectorDirectionsClusterVoxelType vec1Ptr, SimilarVectorDirectionsClusterVoxelType vec2Ptr)
	Calculates the dot product of two n-dimensional vectors.

ML_FORCE_INLINE bool	isInTolerance (SimilarVectorDirectionsClusterVoxelType neighborValue, SimilarVectorDirectionsClusterVoxelType currentValue)
	Tolerance calculation for vector images.

Public Member Functions inherited from ml::ClusterAlgorithm< const void *, SimilarVectorDirectionsClusterAlgorithm >
	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 SimilarVectorDirectionsClusterVoxelType	getVoxel (void *position)
	Get the typed voxel value for current position.

static ML_FORCE_INLINE MLdouble	getVoxelAsDouble (void *)

static ML_FORCE_INLINE const void *	convertBackgroundValue (MLdouble)

Additional Inherited Members
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< const void *, SimilarVectorDirectionsClusterAlgorithm >
MLuint	updateClusterRefForNeighbor (void neighborVoxelPtr, MLint x, MLint y, MLint z, const void 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< const void *, SimilarVectorDirectionsClusterAlgorithm >
static const void *	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

Implementation of a clustering algorithm for vector data types.

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 the difference between the directions of neighboring vectors is within a similarity tolerance. Merging adjacent cluster is done within ClusterRefCollection.

Definition at line 30 of file mlSimilarVectorDirectionsClusterAlgorithm.h.

Member Typedef Documentation

◆ SimilarVectorDirectionsClusterVoxelType

typedef ClusterAlgorithm<constvoid*,SimilarVectorDirectionsClusterAlgorithm>::ClusterVoxelType ml::SimilarVectorDirectionsClusterAlgorithm::SimilarVectorDirectionsClusterVoxelType

Voxel type to be used for the VectorClusterAlgorithm.

Definition at line 35 of file mlSimilarVectorDirectionsClusterAlgorithm.h.

Constructor & Destructor Documentation

◆ SimilarVectorDirectionsClusterAlgorithm()

ml::SimilarVectorDirectionsClusterAlgorithm::SimilarVectorDirectionsClusterAlgorithm	(	const ComputeClusterParameters &	parameters,
		Clusters *	clusters
	)

inline

Constructor.

Definition at line 38 of file mlSimilarVectorDirectionsClusterAlgorithm.h.

Member Function Documentation

◆ calcDotProduct()

ML_FORCE_INLINE double ml::SimilarVectorDirectionsClusterAlgorithm::calcDotProduct	(	SimilarVectorDirectionsClusterVoxelType	vec1Ptr,
		SimilarVectorDirectionsClusterVoxelType	vec2Ptr
	)

inline

Calculates the dot product of two n-dimensional vectors.

Definition at line 74 of file mlSimilarVectorDirectionsClusterAlgorithm.h.

◆ convertBackgroundValue()

static ML_FORCE_INLINE const void * ml::SimilarVectorDirectionsClusterAlgorithm::convertBackgroundValue ( MLdouble )

inlinestatic

Definition at line 109 of file mlSimilarVectorDirectionsClusterAlgorithm.h.

◆ getVoxel()

static ML_FORCE_INLINE SimilarVectorDirectionsClusterVoxelType ml::SimilarVectorDirectionsClusterAlgorithm::getVoxel ( void * position )

inlinestatic

Get the typed voxel value for current position.

Definition at line 63 of file mlSimilarVectorDirectionsClusterAlgorithm.h.

◆ getVoxelAsDouble()

static ML_FORCE_INLINE MLdouble ml::SimilarVectorDirectionsClusterAlgorithm::getVoxelAsDouble ( void * )

inlinestatic

Definition at line 68 of file mlSimilarVectorDirectionsClusterAlgorithm.h.

◆ isInTolerance()

ML_FORCE_INLINE bool ml::SimilarVectorDirectionsClusterAlgorithm::isInTolerance	(	SimilarVectorDirectionsClusterVoxelType	neighborValue,
		SimilarVectorDirectionsClusterVoxelType	currentValue
	)

inline

Tolerance calculation for vector images.

Needed by template function updateClusterRefForNeighbor in base class.

Definition at line 102 of file mlSimilarVectorDirectionsClusterAlgorithm.h.

◆ runClustering()

MLErrorCode ml::SimilarVectorDirectionsClusterAlgorithm::runClustering ( )

inline

Definition at line 43 of file mlSimilarVectorDirectionsClusterAlgorithm.h.

References ML_BAD_DATA_TYPE, and ML_RESULT_OK.

Referenced by ml::TypedComputeClusters::process().

The documentation for this class was generated from the following file:

MeVisLab/Standard/Sources/Shared/MLClusterAlgorithm/mlSimilarVectorDirectionsClusterAlgorithm.h

Public Types

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Typedef Documentation

◆ SimilarVectorDirectionsClusterVoxelType

Constructor & Destructor Documentation

◆ SimilarVectorDirectionsClusterAlgorithm()

Member Function Documentation

◆ calcDotProduct()

◆ convertBackgroundValue()

◆ getVoxel()

◆ getVoxelAsDouble()

◆ isInTolerance()

◆ runClustering()