#include <itkLabelStatisticsImageFilter.h>

Inheritance diagram for itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >:

Collaboration diagram for itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >:

Classes
class	LabelStatistics
	Statistics stored per label. More...
Public Types
typedef std::vector < IndexValueType >	BoundingBoxType
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef HistogramType::Pointer	HistogramPointer
typedef itk::Statistics::Histogram < RealType >	HistogramType
typedef TInputImage::IndexType	IndexType
typedef TInputImage::Pointer	InputImagePointer
typedef TLabelImage::Pointer	LabelImagePointer
typedef TLabelImage	LabelImageType
typedef TLabelImage::IndexType	LabelIndexType
typedef TLabelImage::PixelType	LabelPixelType
typedef TLabelImage::RegionType	LabelRegionType
typedef TLabelImage::SizeType	LabelSizeType
typedef itksys::hash_map < LabelPixelType, LabelStatistics > ::const_iterator	MapConstIterator
typedef itksys::hash_map < LabelPixelType, LabelStatistics >::iterator	MapIterator
typedef IdentifierType	MapSizeType
typedef itksys::hash_map < LabelPixelType, LabelStatistics >	MapType
typedef TInputImage::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef SimpleDataObjectDecorator < RealType >	RealObjectType
typedef NumericTraits < PixelType >::RealType	RealType
typedef TInputImage::RegionType	RegionType
typedef LabelStatisticsImageFilter	Self
typedef TInputImage::SizeType	SizeType
typedef ImageToImageFilter < TInputImage, TInputImage >	Superclass
typedef std::vector < LabelPixelType >	ValidLabelValuesContainerType
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
BoundingBoxType	GetBoundingBox (LabelPixelType label) const
MapSizeType	GetCount (LabelPixelType label) const
HistogramPointer	GetHistogram (LabelPixelType label) const
const LabelImageType *	GetLabelInput () const
RealType	GetMaximum (LabelPixelType label) const
RealType	GetMean (LabelPixelType label) const
RealType	GetMedian (LabelPixelType label) const
RealType	GetMinimum (LabelPixelType label) const
virtual const char *	GetNameOfClass () const
MapSizeType	GetNumberOfLabels () const
MapSizeType	GetNumberOfObjects () const
RegionType	GetRegion (LabelPixelType label) const
RealType	GetSigma (LabelPixelType label) const
RealType	GetSum (LabelPixelType label) const
virtual bool	GetUseHistograms () const
virtual const ValidLabelValuesContainerType &	GetValidLabelValues () const
RealType	GetVariance (LabelPixelType label) const
bool	HasLabel (LabelPixelType label) const
void	SetHistogramParameters (const int numBins, RealType lowerBound, RealType upperBound)
void	SetLabelInput (const TLabelImage *input)
virtual void	SetUseHistograms (bool _arg)
	typedef (Concept::HasNumericTraits< PixelType >) InputHasNumericTraitsCheck
virtual void	UseHistogramsOff ()
virtual void	UseHistogramsOn ()
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension
Protected Member Functions
void	AfterThreadedGenerateData ()
void	AllocateOutputs ()
void	BeforeThreadedGenerateData ()
void	EnlargeOutputRequestedRegion (DataObject *data)
void	GenerateInputRequestedRegion ()
void	ThreadedGenerateData (const RegionType &outputRegionForThread, ThreadIdType threadId)

	LabelStatisticsImageFilter ()
	~LabelStatisticsImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Private Member Functions
	LabelStatisticsImageFilter (const Self &)
void	operator= (const Self &)
Private Attributes
MapType	m_LabelStatistics
std::vector< MapType >	m_LabelStatisticsPerThread
RealType	m_LowerBound
SimpleFastMutexLock	m_Mutex
HistogramType::SizeType	m_NumBins
RealType	m_UpperBound
bool	m_UseHistograms
ValidLabelValuesContainerType	m_ValidLabelValues

Detailed Description

template<class TInputImage, class TLabelImage>
class itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >

Given an intensity image and a label map, compute min, max, variance and mean of the pixels associated with each label or segment.

LabelStatisticsImageFilter computes the minimum, maximum, sum, mean, median, variance and sigma of regions of an intensity image, where the regions are defined via a label map (a second input). The label image should be integral type. The filter needs all of its input image. It behaves as a filter with an input and output. Thus it can be inserted in a pipline with other filters and the statistics will only be recomputed if a downstream filter changes.

Optionally, the filter also computes intensity histograms on each object. If histograms are enabled, a median intensity value can also be computed, although its accuracy is limited to the bin width of the histogram. If histograms are not enabled, the median returns zero.

The filter passes its intensity input through unmodified. The filter is threaded. It computes statistics in each thread then combines them in its AfterThreadedGenerate method.

Wiki Examples:

All Examples

Get statistical properties of labeled regions in an image

Definition at line 60 of file itkLabelStatisticsImageFilter.h.