ITK  5.1.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | List of all members
itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkVectorConfidenceConnectedImageFilter.h>

+ Inheritance diagram for itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >:
+ Collaboration diagram for itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >:

Public Types

using ConstPointer = SmartPointer< const Self >
 
using CovarianceMatrixType = typename DistanceThresholdFunctionType::CovarianceMatrixType
 
using DistanceThresholdFunctionPointer = typename DistanceThresholdFunctionType::Pointer
 
using DistanceThresholdFunctionType = MahalanobisDistanceThresholdImageFunction< InputImageType >
 
using IndexType = typename InputImageType::IndexType
 
using InputImagePixelType = typename InputImageType::PixelType
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = TInputImage
 
using MeanVectorType = typename DistanceThresholdFunctionType::MeanVectorType
 
using OutputImagePixelType = typename OutputImageType::PixelType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageRegionType = typename OutputImageType::RegionType
 
using OutputImageType = TOutputImage
 
using Pointer = SmartPointer< Self >
 
using SeedsContainerType = std::vector< IndexType >
 
using Self = VectorConfidenceConnectedImageFilter
 
using SizeType = typename InputImageType::SizeType
 
using Superclass = ImageToImageFilter< TInputImage, TOutputImage >
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using InputImageConstPointer = typename InputImageType::ConstPointer
 
using InputImagePixelType = typename InputImageType::PixelType
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = TInputImage
 
using OutputImagePixelType = typename Superclass::OutputImagePixelType
 
using OutputImageRegionType = typename Superclass::OutputImageRegionType
 
using Pointer = SmartPointer< Self >
 
using Self = ImageToImageFilter
 
using Superclass = ImageSource< TOutputImage >
 
- Public Types inherited from itk::ImageSource< TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = Superclass::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType
 
using OutputImagePixelType = typename OutputImageType::PixelType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageRegionType = typename OutputImageType::RegionType
 
using OutputImageType = TOutputImage
 
using Pointer = SmartPointer< Self >
 
using Self = ImageSource
 
using Superclass = ProcessObject
 
- Public Types inherited from itk::ProcessObject
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = DataObject::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArray = std::vector< DataObjectPointer >
 
using DataObjectPointerArraySizeType = DataObjectPointerArray::size_type
 
using MultiThreaderType = MultiThreaderBase
 
using NameArray = std::vector< DataObjectIdentifierType >
 
using Pointer = SmartPointer< Self >
 
using Self = ProcessObject
 
using Superclass = Object
 
- Public Types inherited from itk::Object
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = Object
 
using Superclass = LightObject
 
- Public Types inherited from itk::LightObject
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = LightObject
 

Public Member Functions

void AddSeed (const IndexType &seed)
 
void ClearSeeds ()
 
virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const char * GetNameOfClass () const
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void SetSeed (const IndexType &seed)
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageTypeGetInput () const
 
const InputImageTypeGetInput (unsigned int idx) const
 
void PopBackInput () override
 
void PopFrontInput () override
 
virtual void PushBackInput (const InputImageType *image)
 
virtual void PushFrontInput (const InputImageType *image)
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetInput (const InputImageType *image)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageTypeGetOutput ()
 
const OutputImageTypeGetOutput () const
 
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
ProcessObject::DataObjectPointer MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override
 
ProcessObject::DataObjectPointer MakeOutput (const ProcessObject::DataObjectIdentifierType &) override
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOff ()
 
virtual void AbortGenerateDataOn ()
 
virtual const bool & GetAbortGenerateData () const
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
NameArray GetInputNames () const
 
DataObjectPointerArray GetInputs ()
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual DataObjectPointerArraySizeType GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
DataObjectPointerArray GetOutputs ()
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
virtual void SetAbortGenerateData (bool _arg)
 
virtual const float & GetProgress () const
 
void UpdateProgress (float progress)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputInformation ()
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetReleaseDataFlag (bool flag)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag () const
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void ReleaseDataBeforeUpdateFlagOff ()
 
virtual void SetNumberOfWorkUnits (ThreadIdType _arg)
 
virtual const ThreadIdTypeGetNumberOfWorkUnits () const
 
MultiThreaderTypeGetMultiThreader () const
 
void SetMultiThreader (MultiThreaderType *threader)
 
virtual void PrepareOutputs ()
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
void Register () const override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetReferenceCount (int) override
 
void UnRegister () const noexcept override
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
void SetMetaDataDictionary (MetaDataDictionary &&rrhs)
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static void SetGlobalDefaultDirectionTolerance (double)
 
static double GetGlobalDefaultDirectionTolerance ()
 
static void SetGlobalDefaultCoordinateTolerance (double)
 
static double GetGlobalDefaultCoordinateTolerance ()
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 
SeedsContainerType m_Seeds
 
double m_Multiplier
 
unsigned int m_NumberOfIterations
 
OutputImagePixelType m_ReplaceValue
 
unsigned int m_InitialNeighborhoodRadius
 
DistanceThresholdFunctionPointer m_ThresholdFunction
 
virtual void SetMultiplier (double _arg)
 
virtual double GetMultiplier () const
 
virtual void SetNumberOfIterations (unsigned int _arg)
 
virtual unsigned int GetNumberOfIterations () const
 
virtual void SetReplaceValue (OutputImagePixelType _arg)
 
virtual OutputImagePixelType GetReplaceValue () const
 
virtual void SetInitialNeighborhoodRadius (unsigned int _arg)
 
virtual const unsigned int & GetInitialNeighborhoodRadius () const
 
const MeanVectorTypeGetMean () const
 
const CovarianceMatrixTypeGetCovariance () const
 
virtual const SeedsContainerTypeGetSeeds () const
 
 VectorConfidenceConnectedImageFilter ()
 
void GenerateInputRequestedRegion () override
 
void EnlargeOutputRequestedRegion (DataObject *output) override
 
void GenerateData () override
 

Additional Inherited Members

- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension
 
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
- Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >
 
using OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >
 
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
 ImageToImageFilter ()
 
 ~ImageToImageFilter () override
 
void VerifyInputInformation () ITKv5_CONST override
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
void PushBackInput (const DataObject *input) override
 
void PushFrontInput (const DataObject *input) override
 
- Protected Member Functions inherited from itk::ImageSource< TOutputImage >
 ImageSource ()
 
 ~ImageSource () override=default
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 
virtual void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)
 
virtual void AllocateOutputs ()
 
virtual void BeforeThreadedGenerateData ()
 
virtual void AfterThreadedGenerateData ()
 
virtual const ImageRegionSplitterBaseGetImageRegionSplitter () const
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
virtual bool GetDynamicMultiThreading () const
 
virtual void SetDynamicMultiThreading (bool _arg)
 
virtual void DynamicMultiThreadingOn ()
 
virtual void DynamicMultiThreadingOff ()
 
- Protected Member Functions inherited from itk::ProcessObject
 ProcessObject ()
 
 ~ProcessObject () override
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
 
virtual void AddInput (DataObject *input)
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
virtual void SetPrimaryInput (DataObject *input)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredInputs () const
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
void SetRequiredInputNames (const NameArray &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
void AddOptionalInputName (const DataObjectIdentifierType &)
 
void AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
 
virtual void SetOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
virtual void SetPrimaryOutput (DataObject *output)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
 
virtual void AddOutput (DataObject *output)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredOutputs () const
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
virtual void VerifyPreconditions () ITKv5_CONST
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
virtual void GenerateOutputInformation ()
 
virtual void PropagateResetPipeline ()
 
virtual void ReleaseInputs ()
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void RestoreInputReleaseDataFlags ()
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
 ~Object () override
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 
- Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const ImageRegionSplitterBaseGetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION ThreaderCallback (void *arg)
 
- Protected Attributes inherited from itk::ImageSource< TOutputImage >
bool m_DynamicMultiThreading
 
- Protected Attributes inherited from itk::ProcessObject
bool m_Updating
 
TimeStamp m_OutputInformationMTime
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 

Detailed Description

template<typename TInputImage, typename TOutputImage>
class itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >

Segment pixels with similar statistics using connectivity.

This filter extracts a connected set of pixels whose pixel intensities are consistent with the pixel statistics of a seed point. The mean and variance across a neighborhood (8-connected, 26-connected, etc.) are calculated for a seed point. Then pixels connected to this seed point whose values are within the confidence interval for the seed point are grouped. The width of the confidence interval is controlled by the "Multiplier" variable (the confidence interval is the mean plus or minus the "Multiplier" times the standard deviation). If the intensity variations across a segment were gaussian, a "Multiplier" setting of 2.5 would define a confidence interval wide enough to capture 99% of samples in the segment.

After this initial segmentation is calculated, the mean and variance are re-calculated. All the pixels in the previous segmentation are used to calculate the mean the standard deviation (as opposed to using the pixels in the neighborhood of the seed point). The segmentation is then recalculted using these refined estimates for the mean and variance of the pixel values. This process is repeated for the specified number of iterations. Setting the "NumberOfIterations" to zero stops the algorithm after the initial segmentation from the seed point.

NOTE: the lower and upper threshold are restricted to lie within the valid numeric limits of the input data pixel type. Also, the limits may be adjusted to contain the seed point's intensity.

Examples
Examples/Segmentation/VectorConfidenceConnected.cxx.

Definition at line 59 of file itkVectorConfidenceConnectedImageFilter.h.

Member Typedef Documentation

◆ ConstPointer

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self>

Definition at line 68 of file itkVectorConfidenceConnectedImageFilter.h.

◆ CovarianceMatrixType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::CovarianceMatrixType = typename DistanceThresholdFunctionType::CovarianceMatrixType

Definition at line 92 of file itkVectorConfidenceConnectedImageFilter.h.

◆ DistanceThresholdFunctionPointer

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::DistanceThresholdFunctionPointer = typename DistanceThresholdFunctionType::Pointer

Definition at line 95 of file itkVectorConfidenceConnectedImageFilter.h.

◆ DistanceThresholdFunctionType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::DistanceThresholdFunctionType = MahalanobisDistanceThresholdImageFunction<InputImageType>

Definition at line 90 of file itkVectorConfidenceConnectedImageFilter.h.

◆ IndexType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::IndexType = typename InputImageType::IndexType

Definition at line 80 of file itkVectorConfidenceConnectedImageFilter.h.

◆ InputImagePixelType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::InputImagePixelType = typename InputImageType::PixelType

Definition at line 79 of file itkVectorConfidenceConnectedImageFilter.h.

◆ InputImagePointer

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::InputImagePointer = typename InputImageType::Pointer

Definition at line 77 of file itkVectorConfidenceConnectedImageFilter.h.

◆ InputImageRegionType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::InputImageRegionType = typename InputImageType::RegionType

Definition at line 78 of file itkVectorConfidenceConnectedImageFilter.h.

◆ InputImageType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage

Definition at line 76 of file itkVectorConfidenceConnectedImageFilter.h.

◆ MeanVectorType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::MeanVectorType = typename DistanceThresholdFunctionType::MeanVectorType

Definition at line 93 of file itkVectorConfidenceConnectedImageFilter.h.

◆ OutputImagePixelType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::OutputImagePixelType = typename OutputImageType::PixelType

Definition at line 86 of file itkVectorConfidenceConnectedImageFilter.h.

◆ OutputImagePointer

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::OutputImagePointer = typename OutputImageType::Pointer

Definition at line 84 of file itkVectorConfidenceConnectedImageFilter.h.

◆ OutputImageRegionType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::OutputImageRegionType = typename OutputImageType::RegionType

Definition at line 85 of file itkVectorConfidenceConnectedImageFilter.h.

◆ OutputImageType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::OutputImageType = TOutputImage

Definition at line 83 of file itkVectorConfidenceConnectedImageFilter.h.

◆ Pointer

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self>

Definition at line 67 of file itkVectorConfidenceConnectedImageFilter.h.

◆ SeedsContainerType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SeedsContainerType = std::vector<IndexType>

Definition at line 88 of file itkVectorConfidenceConnectedImageFilter.h.

◆ Self

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::Self = VectorConfidenceConnectedImageFilter

Standard class type aliases.

Definition at line 65 of file itkVectorConfidenceConnectedImageFilter.h.

◆ SizeType

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SizeType = typename InputImageType::SizeType

Definition at line 81 of file itkVectorConfidenceConnectedImageFilter.h.

◆ Superclass

template<typename TInputImage , typename TOutputImage >
using itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::Superclass = ImageToImageFilter<TInputImage, TOutputImage>

Definition at line 66 of file itkVectorConfidenceConnectedImageFilter.h.

Constructor & Destructor Documentation

◆ VectorConfidenceConnectedImageFilter()

template<typename TInputImage , typename TOutputImage >
itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::VectorConfidenceConnectedImageFilter ( )
protected

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

Member Function Documentation

◆ AddSeed()

template<typename TInputImage , typename TOutputImage >
void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::AddSeed ( const IndexType seed)

Add seed point.

◆ ClearSeeds()

template<typename TInputImage , typename TOutputImage >
void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::ClearSeeds ( )

Remove all seeds

◆ CreateAnother()

template<typename TInputImage , typename TOutputImage >
virtual::itk::LightObject::Pointer itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::CreateAnother ( ) const
virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

◆ EnlargeOutputRequestedRegion()

template<typename TInputImage , typename TOutputImage >
void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::EnlargeOutputRequestedRegion ( DataObject output)
overrideprotectedvirtual

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

Reimplemented from itk::ProcessObject.

◆ GenerateData()

template<typename TInputImage , typename TOutputImage >
void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GenerateData ( )
overrideprotectedvirtual

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

Reimplemented from itk::ImageSource< TOutputImage >.

◆ GenerateInputRequestedRegion()

template<typename TInputImage , typename TOutputImage >
void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( )
overrideprotectedvirtual

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

◆ GetCovariance()

template<typename TInputImage , typename TOutputImage >
const CovarianceMatrixType& itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetCovariance ( ) const

Get the Covariance matrix computed during the segmentation

◆ GetInitialNeighborhoodRadius()

template<typename TInputImage , typename TOutputImage >
virtual const unsigned int& itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetInitialNeighborhoodRadius ( ) const
virtual

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

◆ GetMean()

template<typename TInputImage , typename TOutputImage >
const MeanVectorType& itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetMean ( ) const

Get the Mean Vector computed during the segmentation

◆ GetMultiplier()

template<typename TInputImage , typename TOutputImage >
virtual double itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetMultiplier ( ) const
virtual

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

◆ GetNameOfClass()

template<typename TInputImage , typename TOutputImage >
virtual const char* itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

◆ GetNumberOfIterations()

template<typename TInputImage , typename TOutputImage >
virtual unsigned int itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetNumberOfIterations ( ) const
virtual

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

◆ GetReplaceValue()

template<typename TInputImage , typename TOutputImage >
virtual OutputImagePixelType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetReplaceValue ( ) const
virtual

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

◆ GetSeeds()

template<typename TInputImage , typename TOutputImage >
virtual const SeedsContainerType& itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetSeeds ( ) const
virtual

Method to access seed container

◆ New()

template<typename TInputImage , typename TOutputImage >
static Pointer itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::New ( )
static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInputImage , typename TOutputImage >
void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overridevirtual

Typedef for the region copier function object that converts an input region to an output region.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

◆ SetInitialNeighborhoodRadius()

template<typename TInputImage , typename TOutputImage >
virtual void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SetInitialNeighborhoodRadius ( unsigned int  _arg)
virtual

Get/Set the radius of the neighborhood over which the statistics are evaluated

◆ SetMultiplier()

template<typename TInputImage , typename TOutputImage >
virtual void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SetMultiplier ( double  _arg)
virtual

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

◆ SetNumberOfIterations()

template<typename TInputImage , typename TOutputImage >
virtual void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SetNumberOfIterations ( unsigned int  _arg)
virtual

Set/Get the number of iterations

◆ SetReplaceValue()

template<typename TInputImage , typename TOutputImage >
virtual void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SetReplaceValue ( OutputImagePixelType  _arg)
virtual

Set/Get value to replace thresholded pixels

◆ SetSeed()

template<typename TInputImage , typename TOutputImage >
void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SetSeed ( const IndexType seed)

Set seed point. This method is deprecated, please use AddSeed()

Member Data Documentation

◆ m_InitialNeighborhoodRadius

template<typename TInputImage , typename TOutputImage >
unsigned int itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_InitialNeighborhoodRadius
private

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

Definition at line 174 of file itkVectorConfidenceConnectedImageFilter.h.

◆ m_Multiplier

template<typename TInputImage , typename TOutputImage >
double itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_Multiplier
private

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

Definition at line 171 of file itkVectorConfidenceConnectedImageFilter.h.

◆ m_NumberOfIterations

template<typename TInputImage , typename TOutputImage >
unsigned int itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_NumberOfIterations
private

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

Definition at line 172 of file itkVectorConfidenceConnectedImageFilter.h.

◆ m_ReplaceValue

template<typename TInputImage , typename TOutputImage >
OutputImagePixelType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_ReplaceValue
private

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

Definition at line 173 of file itkVectorConfidenceConnectedImageFilter.h.

◆ m_Seeds

template<typename TInputImage , typename TOutputImage >
SeedsContainerType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_Seeds
private

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

Definition at line 170 of file itkVectorConfidenceConnectedImageFilter.h.

◆ m_ThresholdFunction

template<typename TInputImage , typename TOutputImage >
DistanceThresholdFunctionPointer itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_ThresholdFunction
private

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

Definition at line 176 of file itkVectorConfidenceConnectedImageFilter.h.


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