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itk::simple::LabelStatisticsImageFilter Class Reference

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

#include <sitkLabelStatisticsImageFilter.h>

+ Inheritance diagram for itk::simple::LabelStatisticsImageFilter:
+ Collaboration diagram for itk::simple::LabelStatisticsImageFilter:

Public Types

using PixelIDTypeList = BasicPixelIDTypeList
 
using Self = LabelStatisticsImageFilter
 
- Public Types inherited from itk::simple::ImageFilter
using Self = ImageFilter
 
- Public Types inherited from itk::simple::ProcessObject
using Self = ProcessObject
 

Public Member Functions

void Execute (const Image &image, const Image &labelImage)
 
std::vector< int > GetBoundingBox (int64_t label) const
 
uint64_t GetCount (int64_t label) const
 
std::vector< int64_t > GetLabels () const
 
double GetMaximum (int64_t label) const
 
double GetMean (int64_t label) const
 
double GetMedian (int64_t label) const
 
double GetMinimum (int64_t label) const
 
std::string GetName () const
 
uint64_t GetNumberOfLabels ()
 
std::vector< unsigned int > GetRegion (int64_t label) const
 
double GetSigma (int64_t label) const
 
double GetSum (int64_t label) const
 
bool GetUseHistograms () const
 
double GetVariance (int64_t label) const
 
bool HasLabel (int64_t label)
 
 LabelStatisticsImageFilter ()
 
SelfSetUseHistograms (bool UseHistograms)
 
std::string ToString () const
 
SelfUseHistogramsOff ()
 
SelfUseHistogramsOn ()
 
virtual ~LabelStatisticsImageFilter ()
 
- Public Member Functions inherited from itk::simple::ImageFilter
 ImageFilter ()
 
virtual ~ImageFilter ()=0
 
- Public Member Functions inherited from itk::simple::ProcessObject
virtual void Abort ()
 
virtual int AddCommand (itk::simple::EventEnum event, const std::function< void()> &func)
 Directly add a callback to observe an event. More...
 
virtual int AddCommand (itk::simple::EventEnum event, itk::simple::Command &cmd)
 Add a Command Object to observer the event. More...
 
virtual float GetProgress () const
 An Active Measurement of the progress of execution. More...
 
virtual bool HasCommand (itk::simple::EventEnum event) const
 Query of this object has any registered commands for event. More...
 
 ProcessObject ()
 
virtual void RemoveAllCommands ()
 Remove all registered commands. More...
 
virtual ~ProcessObject ()
 
virtual void DebugOn ()
 
virtual void DebugOff ()
 
virtual bool GetDebug () const
 
virtual void SetDebug (bool debugFlag)
 
virtual void SetNumberOfThreads (unsigned int n)
 
virtual unsigned int GetNumberOfThreads () const
 
virtual void SetNumberOfWorkUnits (unsigned int n)
 
virtual unsigned int GetNumberOfWorkUnits () const
 

Private Types

using MemberFunctionType = void(Self::*)(const Image *image, const Image *labelImage)
 

Private Member Functions

template<class TImageType1 , class TImageType2 >
void DualExecuteInternal (const Image *image, const Image *labelImage)
 

Private Attributes

std::unique_ptr< detail::DualMemberFunctionFactory< MemberFunctionType > > m_DualMemberFactory
 
itk::ProcessObjectm_Filter {nullptr}
 
std::vector< int64_t > m_Labels {std::vector<int64_t>()}
 
std::function< std::vector< int >int64_t)> m_pfGetBoundingBox
 
std::function< uint64_t(int64_t)> m_pfGetCount
 
std::function< double(int64_t)> m_pfGetMaximum
 
std::function< double(int64_t)> m_pfGetMean
 
std::function< double(int64_t)> m_pfGetMedian
 
std::function< double(int64_t)> m_pfGetMinimum
 
std::function< std::vector< unsigned int >int64_t)> m_pfGetRegion
 
std::function< double(int64_t)> m_pfGetSigma
 
std::function< double(int64_t)> m_pfGetSum
 
std::function< double(int64_t)> m_pfGetVariance
 
bool m_UseHistograms {true}
 

Friends

struct detail::DualExecuteInternalAddressor< MemberFunctionType >
 

Additional Inherited Members

- Static Public Member Functions inherited from itk::simple::ProcessObject
static bool GetGlobalDefaultDebug ()
 
static void GlobalDefaultDebugOff ()
 
static void GlobalDefaultDebugOn ()
 
static void SetGlobalDefaultDebug (bool debugFlag)
 
static void GlobalWarningDisplayOn ()
 
static void GlobalWarningDisplayOff ()
 
static void SetGlobalWarningDisplay (bool flag)
 
static bool GetGlobalWarningDisplay ()
 
static double GetGlobalDefaultCoordinateTolerance ()
 Access the global tolerance to determine congruent spaces. More...
 
static void SetGlobalDefaultCoordinateTolerance (double)
 Access the global tolerance to determine congruent spaces. More...
 
static double GetGlobalDefaultDirectionTolerance ()
 Access the global tolerance to determine congruent spaces. More...
 
static void SetGlobalDefaultDirectionTolerance (double)
 Access the global tolerance to determine congruent spaces. More...
 
static bool SetGlobalDefaultThreader (const std::string &threader)
 Set/Get the default threader used for process objects. More...
 
static std::string GetGlobalDefaultThreader ()
 Set/Get the default threader used for process objects. More...
 
static void SetGlobalDefaultNumberOfThreads (unsigned int n)
 
static unsigned int GetGlobalDefaultNumberOfThreads ()
 Set/Get the default threader used for process objects. More...
 
- Protected Member Functions inherited from itk::simple::ImageFilter
void CheckImageMatchingDimension (const Image &image1, const Image &image2, const std::string &image2Name)
 
void CheckImageMatchingPixelType (const Image &image1, const Image &image2, const std::string &image2Name)
 
void CheckImageMatchingSize (const Image &image1, const Image &image2, const std::string &image2Name)
 
- Protected Member Functions inherited from itk::simple::ProcessObject
virtual unsigned long AddITKObserver (const itk::EventObject &, itk::Command *)
 
virtual itk::ProcessObjectGetActiveProcess ()
 
virtual void OnActiveProcessDelete ()
 
virtual void onCommandDelete (const itk::simple::Command *cmd) noexcept
 
virtual void PreUpdate (itk::ProcessObject *p)
 
virtual void RemoveITKObserver (EventCommand &e)
 
- Protected Member Functions inherited from itk::simple::NonCopyable
 NonCopyable ()=default
 
 NonCopyable (const NonCopyable &)=delete
 
NonCopyableoperator= (const NonCopyable &)=delete
 
- Static Protected Member Functions inherited from itk::simple::ImageFilter
template<class TImageType >
static void FixNonZeroIndex (TImageType *img)
 
- Static Protected Member Functions inherited from itk::simple::ProcessObject
template<class TImageType >
static TImageType::ConstPointer CastImageToITK (const Image &img)
 
template<class TPixelType , unsigned int VImageDimension, unsigned int VLength, template< typename, unsigned int > class TVector>
static Image CastITKToImage (itk::Image< TVector< TPixelType, VLength >, VImageDimension > *img)
 
template<unsigned int VImageDimension, unsigned int VLength, template< unsigned int > class TVector>
static Image CastITKToImage (itk::Image< TVector< VLength >, VImageDimension > *img)
 
template<class TImageType >
static Image CastITKToImage (TImageType *img)
 
static const itk::EventObjectGetITKEventObject (EventEnum e)
 
template<typename T >
static std::ostream & ToStringHelper (std::ostream &os, const T &v)
 
static std::ostream & ToStringHelper (std::ostream &os, const char &v)
 
static std::ostream & ToStringHelper (std::ostream &os, const signed char &v)
 
static std::ostream & ToStringHelper (std::ostream &os, const unsigned char &v)
 

Detailed Description

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 pipeline 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.

This filter is automatically multi-threaded and can stream its input when NumberOfStreamDivisions is set to more than

See also
itk::LabelStatisticsImageFilter for the Doxygen on the original ITK class.

Definition at line 47 of file sitkLabelStatisticsImageFilter.h.

Member Typedef Documentation

◆ MemberFunctionType

using itk::simple::LabelStatisticsImageFilter::MemberFunctionType = void (Self::*)( const Image * image, const Image * labelImage )
private

Setup for member function dispatching

Definition at line 194 of file sitkLabelStatisticsImageFilter.h.

◆ PixelIDTypeList

Define the pixels types supported by this filter

Definition at line 59 of file sitkLabelStatisticsImageFilter.h.

◆ Self

Definition at line 49 of file sitkLabelStatisticsImageFilter.h.

Constructor & Destructor Documentation

◆ ~LabelStatisticsImageFilter()

virtual itk::simple::LabelStatisticsImageFilter::~LabelStatisticsImageFilter ( )
virtual

Destructor

◆ LabelStatisticsImageFilter()

itk::simple::LabelStatisticsImageFilter::LabelStatisticsImageFilter ( )

Default Constructor that takes no arguments and initializes default parameters

Member Function Documentation

◆ DualExecuteInternal()

template<class TImageType1 , class TImageType2 >
void itk::simple::LabelStatisticsImageFilter::DualExecuteInternal ( const Image image,
const Image labelImage 
)
private

◆ Execute()

void itk::simple::LabelStatisticsImageFilter::Execute ( const Image image,
const Image labelImage 
)

Execute the filter on the input image

◆ GetBoundingBox()

std::vector<int> itk::simple::LabelStatisticsImageFilter::GetBoundingBox ( int64_t  label) const
inline

Return the computed bounding box for a label. A vector of minIndex, maxIndex pairs for each axis. The intervals include the endpoints.

This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.

Definition at line 153 of file sitkLabelStatisticsImageFilter.h.

◆ GetCount()

uint64_t itk::simple::LabelStatisticsImageFilter::GetCount ( int64_t  label) const
inline

Return the number of pixels for a label.

This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.

Definition at line 144 of file sitkLabelStatisticsImageFilter.h.

◆ GetLabels()

std::vector<int64_t> itk::simple::LabelStatisticsImageFilter::GetLabels ( ) const
inline

This is a measurement. Its value is updated in the Execute methods, so the value will only be valid after an execution.

Definition at line 170 of file sitkLabelStatisticsImageFilter.h.

◆ GetMaximum()

double itk::simple::LabelStatisticsImageFilter::GetMaximum ( int64_t  label) const
inline

Return the computed Maximum for a label.

This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.

Definition at line 90 of file sitkLabelStatisticsImageFilter.h.

◆ GetMean()

double itk::simple::LabelStatisticsImageFilter::GetMean ( int64_t  label) const
inline

Return the computed Mean for a label.

This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.

Definition at line 99 of file sitkLabelStatisticsImageFilter.h.

◆ GetMedian()

double itk::simple::LabelStatisticsImageFilter::GetMedian ( int64_t  label) const
inline

Return the computed Median for a label. Requires histograms to be enabled!

This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.

Definition at line 108 of file sitkLabelStatisticsImageFilter.h.

◆ GetMinimum()

double itk::simple::LabelStatisticsImageFilter::GetMinimum ( int64_t  label) const
inline

Return the computed Minimum for a label.

This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.

Definition at line 81 of file sitkLabelStatisticsImageFilter.h.

◆ GetName()

std::string itk::simple::LabelStatisticsImageFilter::GetName ( ) const
inlinevirtual

Name of this class

Implements itk::simple::ProcessObject.

Definition at line 174 of file sitkLabelStatisticsImageFilter.h.

◆ GetNumberOfLabels()

uint64_t itk::simple::LabelStatisticsImageFilter::GetNumberOfLabels ( )

Return the number of labels after execution .

◆ GetRegion()

std::vector<unsigned int> itk::simple::LabelStatisticsImageFilter::GetRegion ( int64_t  label) const
inline

Return the computed region.

This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.

Definition at line 162 of file sitkLabelStatisticsImageFilter.h.

◆ GetSigma()

double itk::simple::LabelStatisticsImageFilter::GetSigma ( int64_t  label) const
inline

Return the computed Standard Deviation for a label.

This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.

Definition at line 117 of file sitkLabelStatisticsImageFilter.h.

◆ GetSum()

double itk::simple::LabelStatisticsImageFilter::GetSum ( int64_t  label) const
inline

Return the compute Sum for a label.

This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.

Definition at line 135 of file sitkLabelStatisticsImageFilter.h.

◆ GetUseHistograms()

bool itk::simple::LabelStatisticsImageFilter::GetUseHistograms ( ) const
inline

Definition at line 73 of file sitkLabelStatisticsImageFilter.h.

◆ GetVariance()

double itk::simple::LabelStatisticsImageFilter::GetVariance ( int64_t  label) const
inline

Return the computed Variance for a label.

This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.

Definition at line 126 of file sitkLabelStatisticsImageFilter.h.

◆ HasLabel()

bool itk::simple::LabelStatisticsImageFilter::HasLabel ( int64_t  label)

Does the specified label exist? Can only be called after a call a call to Update().

◆ SetUseHistograms()

Self& itk::simple::LabelStatisticsImageFilter::SetUseHistograms ( bool  UseHistograms)
inline

Definition at line 65 of file sitkLabelStatisticsImageFilter.h.

◆ ToString()

std::string itk::simple::LabelStatisticsImageFilter::ToString ( ) const
virtual

Print ourselves out

Reimplemented from itk::simple::ProcessObject.

◆ UseHistogramsOff()

Self& itk::simple::LabelStatisticsImageFilter::UseHistogramsOff ( )
inline

Definition at line 69 of file sitkLabelStatisticsImageFilter.h.

◆ UseHistogramsOn()

Self& itk::simple::LabelStatisticsImageFilter::UseHistogramsOn ( )
inline

Set the value of UseHistograms to true or false respectfully.

Definition at line 68 of file sitkLabelStatisticsImageFilter.h.

Friends And Related Function Documentation

◆ detail::DualExecuteInternalAddressor< MemberFunctionType >

Definition at line 196 of file sitkLabelStatisticsImageFilter.h.

Member Data Documentation

◆ m_DualMemberFactory

std::unique_ptr<detail::DualMemberFunctionFactory<MemberFunctionType> > itk::simple::LabelStatisticsImageFilter::m_DualMemberFactory
private

Definition at line 200 of file sitkLabelStatisticsImageFilter.h.

◆ m_Filter

itk::ProcessObject* itk::simple::LabelStatisticsImageFilter::m_Filter {nullptr}
private

Definition at line 230 of file sitkLabelStatisticsImageFilter.h.

◆ m_Labels

std::vector<int64_t> itk::simple::LabelStatisticsImageFilter::m_Labels {std::vector<int64_t>()}
private

Definition at line 227 of file sitkLabelStatisticsImageFilter.h.

◆ m_pfGetBoundingBox

std::function<std::vector<int>int64_t)> itk::simple::LabelStatisticsImageFilter::m_pfGetBoundingBox
private

Definition at line 223 of file sitkLabelStatisticsImageFilter.h.

◆ m_pfGetCount

std::function<uint64_t(int64_t)> itk::simple::LabelStatisticsImageFilter::m_pfGetCount
private

Definition at line 221 of file sitkLabelStatisticsImageFilter.h.

◆ m_pfGetMaximum

std::function<double(int64_t)> itk::simple::LabelStatisticsImageFilter::m_pfGetMaximum
private

Definition at line 209 of file sitkLabelStatisticsImageFilter.h.

◆ m_pfGetMean

std::function<double(int64_t)> itk::simple::LabelStatisticsImageFilter::m_pfGetMean
private

Definition at line 211 of file sitkLabelStatisticsImageFilter.h.

◆ m_pfGetMedian

std::function<double(int64_t)> itk::simple::LabelStatisticsImageFilter::m_pfGetMedian
private

Definition at line 213 of file sitkLabelStatisticsImageFilter.h.

◆ m_pfGetMinimum

std::function<double(int64_t)> itk::simple::LabelStatisticsImageFilter::m_pfGetMinimum
private

Definition at line 207 of file sitkLabelStatisticsImageFilter.h.

◆ m_pfGetRegion

std::function<std::vector<unsigned int>int64_t)> itk::simple::LabelStatisticsImageFilter::m_pfGetRegion
private

Definition at line 225 of file sitkLabelStatisticsImageFilter.h.

◆ m_pfGetSigma

std::function<double(int64_t)> itk::simple::LabelStatisticsImageFilter::m_pfGetSigma
private

Definition at line 215 of file sitkLabelStatisticsImageFilter.h.

◆ m_pfGetSum

std::function<double(int64_t)> itk::simple::LabelStatisticsImageFilter::m_pfGetSum
private

Definition at line 219 of file sitkLabelStatisticsImageFilter.h.

◆ m_pfGetVariance

std::function<double(int64_t)> itk::simple::LabelStatisticsImageFilter::m_pfGetVariance
private

Definition at line 217 of file sitkLabelStatisticsImageFilter.h.

◆ m_UseHistograms

bool itk::simple::LabelStatisticsImageFilter::m_UseHistograms {true}
private

Definition at line 204 of file sitkLabelStatisticsImageFilter.h.


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