ITK  5.1.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | List of all members

#include <itkBilateralImageFilter.h>

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

Public Types

using ArrayType = FixedArray< double, Self::ImageDimension >
 
using ConstPointer = SmartPointer< const Self >
 
using GaussianImageType = Image< double, Self::ImageDimension >
 
using InputImageType = TInputImage
 
using InputInternalPixelType = typename TInputImage::InternalPixelType
 
using InputPixelType = typename TInputImage::PixelType
 
using KernelConstIteratorType = typename KernelType::ConstIterator
 
using KernelIteratorType = typename KernelType::Iterator
 
using KernelType = Neighborhood< double, Self::ImageDimension >
 
using NeighborhoodIteratorType = ConstNeighborhoodIterator< TInputImage >
 
using OutputImageRegionType = typename Superclass::OutputImageRegionType
 
using OutputImageType = TOutputImage
 
using OutputInternalPixelType = typename TOutputImage::InternalPixelType
 
using OutputPixelRealType = typename NumericTraits< OutputPixelType >::RealType
 
using OutputPixelType = typename TOutputImage::PixelType
 
using Pointer = SmartPointer< Self >
 
using Self = BilateralImageFilter
 
using SizeType = typename KernelType::SizeType
 
using SizeValueType = typename KernelType::SizeValueType
 
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

virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const char * GetNameOfClass () const
 
- 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 EnlargeOutputRequestedRegion (DataObject *)
 
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 ()
 

Static Public Attributes

static constexpr unsigned int ImageDimension = TOutputImage::ImageDimension
 
- 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
 
double m_RangeSigma
 
ArrayType m_DomainSigma
 
double m_DomainMu
 
double m_RangeMu
 
unsigned int m_FilterDimensionality
 
KernelType m_GaussianKernel
 
SizeType m_Radius
 
bool m_AutomaticKernelSize
 
unsigned long m_NumberOfRangeGaussianSamples
 
double m_DynamicRange
 
double m_DynamicRangeUsed
 
std::vector< double > m_RangeGaussianTable
 
virtual void SetDomainSigma (ArrayType _arg)
 
virtual const ArrayType GetDomainSigma () const
 
virtual void SetDomainMu (double _arg)
 
virtual const double & GetDomainMu () const
 
virtual void SetRangeSigma (double _arg)
 
virtual double GetRangeSigma () const
 
virtual unsigned int GetFilterDimensionality () const
 
virtual void SetFilterDimensionality (unsigned int _arg)
 
void SetDomainSigma (const double v)
 
virtual void AutomaticKernelSizeOn ()
 
virtual void AutomaticKernelSizeOff ()
 
virtual bool GetAutomaticKernelSize () const
 
virtual void SetAutomaticKernelSize (bool _arg)
 
void SetRadius (const SizeValueType)
 
virtual void SetRadius (SizeType _arg)
 
virtual const SizeTypeGetRadius () const
 
virtual void SetNumberOfRangeGaussianSamples (unsigned long _arg)
 
virtual unsigned long GetNumberOfRangeGaussianSamples () const
 
 BilateralImageFilter ()
 
 ~BilateralImageFilter () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void BeforeThreadedGenerateData () override
 
void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread) override
 
void GenerateInputRequestedRegion () override
 

Additional Inherited Members

- 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 GenerateData () override
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 
virtual void AllocateOutputs ()
 
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::BilateralImageFilter< TInputImage, TOutputImage >

Blurs an image while preserving edges.

This filter uses bilateral filtering to blur an image using both domain and range "neighborhoods". Pixels that are close to a pixel in the image domain and similar to a pixel in the image range are used to calculate the filtered value. Two gaussian kernels (one in the image domain and one in the image range) are used to smooth the image. The result is an image that is smoothed in homogeneous regions yet has edges preserved. The result is similar to anisotropic diffusion but the implementation in non-iterative. Another benefit to bilateral filtering is that any distance metric can be used for kernel smoothing the image range. Hence, color images can be smoothed as vector images, using the CIE distances between intensity values as the similarity metric (the Gaussian kernel for the image domain is evaluated using CIE distances). A separate version of this filter will be designed for color and vector images.

Bilateral filtering is capable of reducing the noise in an image by an order of magnitude while maintaining edges.

The bilateral operator used here was described by Tomasi and Manduchi (Bilateral Filtering for Gray and ColorImages. IEEE ICCV. 1998.)

See also
GaussianOperator
RecursiveGaussianImageFilter
DiscreteGaussianImageFilter
AnisotropicDiffusionImageFilter
Image
Neighborhood
NeighborhoodOperator
Todo:

Support color images

Support vector images

ITK Sphinx Examples:
\li All ITK Sphinx Examples
Examples
Examples/Filtering/BilateralImageFilter.cxx, and SphinxExamples/src/Filtering/ImageFeature/BilateralFilterAnImage/Code.cxx.

Definition at line 75 of file itkBilateralImageFilter.h.

Member Typedef Documentation

◆ ArrayType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::ArrayType = FixedArray<double, Self::ImageDimension>

Typedef of double containers

Definition at line 112 of file itkBilateralImageFilter.h.

◆ ConstPointer

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

Definition at line 84 of file itkBilateralImageFilter.h.

◆ GaussianImageType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::GaussianImageType = Image<double, Self::ImageDimension>

Gaussian image type

Definition at line 127 of file itkBilateralImageFilter.h.

◆ InputImageType

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

Image type information.

Definition at line 93 of file itkBilateralImageFilter.h.

◆ InputInternalPixelType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::InputInternalPixelType = typename TInputImage::InternalPixelType

Definition at line 105 of file itkBilateralImageFilter.h.

◆ InputPixelType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::InputPixelType = typename TInputImage::PixelType

Definition at line 104 of file itkBilateralImageFilter.h.

◆ KernelConstIteratorType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::KernelConstIteratorType = typename KernelType::ConstIterator

Definition at line 124 of file itkBilateralImageFilter.h.

◆ KernelIteratorType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::KernelIteratorType = typename KernelType::Iterator

Kernel iterator.

Definition at line 123 of file itkBilateralImageFilter.h.

◆ KernelType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::KernelType = Neighborhood<double, Self::ImageDimension>

Kernel type alias.

Definition at line 118 of file itkBilateralImageFilter.h.

◆ NeighborhoodIteratorType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::NeighborhoodIteratorType = ConstNeighborhoodIterator<TInputImage>

Neighborhood iterator types.

Definition at line 115 of file itkBilateralImageFilter.h.

◆ OutputImageRegionType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::OutputImageRegionType = typename Superclass::OutputImageRegionType

Superclass type alias.

Definition at line 97 of file itkBilateralImageFilter.h.

◆ OutputImageType

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

Definition at line 94 of file itkBilateralImageFilter.h.

◆ OutputInternalPixelType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::OutputInternalPixelType = typename TOutputImage::InternalPixelType

Definition at line 102 of file itkBilateralImageFilter.h.

◆ OutputPixelRealType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::OutputPixelRealType = typename NumericTraits<OutputPixelType>::RealType

Definition at line 103 of file itkBilateralImageFilter.h.

◆ OutputPixelType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::OutputPixelType = typename TOutputImage::PixelType

Extract some information from the image types. Dimensionality of the two images is assumed to be the same.

Definition at line 101 of file itkBilateralImageFilter.h.

◆ Pointer

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

Definition at line 83 of file itkBilateralImageFilter.h.

◆ Self

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

Standard class type aliases.

Definition at line 81 of file itkBilateralImageFilter.h.

◆ SizeType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::SizeType = typename KernelType::SizeType

Definition at line 119 of file itkBilateralImageFilter.h.

◆ SizeValueType

template<typename TInputImage , typename TOutputImage >
using itk::BilateralImageFilter< TInputImage, TOutputImage >::SizeValueType = typename KernelType::SizeValueType

Definition at line 120 of file itkBilateralImageFilter.h.

◆ Superclass

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

Definition at line 82 of file itkBilateralImageFilter.h.

Constructor & Destructor Documentation

◆ BilateralImageFilter()

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

Constructor.

◆ ~BilateralImageFilter()

template<typename TInputImage , typename TOutputImage >
itk::BilateralImageFilter< TInputImage, TOutputImage >::~BilateralImageFilter ( )
overrideprotecteddefault

Destructor.

Member Function Documentation

◆ AutomaticKernelSizeOff()

template<typename TInputImage , typename TOutputImage >
virtual void itk::BilateralImageFilter< TInputImage, TOutputImage >::AutomaticKernelSizeOff ( )
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ AutomaticKernelSizeOn()

template<typename TInputImage , typename TOutputImage >
virtual void itk::BilateralImageFilter< TInputImage, TOutputImage >::AutomaticKernelSizeOn ( )
virtual

Control automatic kernel size determination. When automatic is "on", the kernel size is a function of the domain sigma. When automatic is "off", the kernel size is whatever is specified by the user.

See also
SetRadius()

◆ BeforeThreadedGenerateData()

template<typename TInputImage , typename TOutputImage >
void itk::BilateralImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData ( )
overrideprotectedvirtual

Do some setup before the ThreadedGenerateData

Reimplemented from itk::ImageSource< TOutputImage >.

◆ CreateAnother()

template<typename TInputImage , typename TOutputImage >
virtual::itk::LightObject::Pointer itk::BilateralImageFilter< 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.

◆ DynamicThreadedGenerateData()

template<typename TInputImage , typename TOutputImage >
void itk::BilateralImageFilter< TInputImage, TOutputImage >::DynamicThreadedGenerateData ( const OutputImageRegionType outputRegionForThread)
overrideprotectedvirtual

Standard pipeline method. This filter is implemented as a multi-threaded filter.

Reimplemented from itk::ImageSource< TOutputImage >.

◆ GenerateInputRequestedRegion()

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

BilateralImageFilter needs a larger input requested region than the output requested region (larger by the size of the domain Gaussian kernel). As such, BilateralImageFilter needs to provide an implementation for GenerateInputRequestedRegion() in order to inform the pipeline execution model.

See also
ImageToImageFilter::GenerateInputRequestedRegion()

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

◆ GetAutomaticKernelSize()

template<typename TInputImage , typename TOutputImage >
virtual bool itk::BilateralImageFilter< TInputImage, TOutputImage >::GetAutomaticKernelSize ( ) const
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ GetDomainMu()

template<typename TInputImage , typename TOutputImage >
virtual const double& itk::BilateralImageFilter< TInputImage, TOutputImage >::GetDomainMu ( ) const
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ GetDomainSigma()

template<typename TInputImage , typename TOutputImage >
virtual const ArrayType itk::BilateralImageFilter< TInputImage, TOutputImage >::GetDomainSigma ( ) const
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ GetFilterDimensionality()

template<typename TInputImage , typename TOutputImage >
virtual unsigned int itk::BilateralImageFilter< TInputImage, TOutputImage >::GetFilterDimensionality ( ) const
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ GetNameOfClass()

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

Run-time type information (and related methods).

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

◆ GetNumberOfRangeGaussianSamples()

template<typename TInputImage , typename TOutputImage >
virtual unsigned long itk::BilateralImageFilter< TInputImage, TOutputImage >::GetNumberOfRangeGaussianSamples ( ) const
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ GetRadius()

template<typename TInputImage , typename TOutputImage >
virtual const SizeType& itk::BilateralImageFilter< TInputImage, TOutputImage >::GetRadius ( ) const
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ GetRangeSigma()

template<typename TInputImage , typename TOutputImage >
virtual double itk::BilateralImageFilter< TInputImage, TOutputImage >::GetRangeSigma ( ) const
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ New()

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

Method for creation through the object factory.

◆ PrintSelf()

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

◆ SetAutomaticKernelSize()

template<typename TInputImage , typename TOutputImage >
virtual void itk::BilateralImageFilter< TInputImage, TOutputImage >::SetAutomaticKernelSize ( bool  _arg)
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ SetDomainMu()

template<typename TInputImage , typename TOutputImage >
virtual void itk::BilateralImageFilter< TInputImage, TOutputImage >::SetDomainMu ( double  _arg)
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ SetDomainSigma() [1/2]

template<typename TInputImage , typename TOutputImage >
virtual void itk::BilateralImageFilter< TInputImage, TOutputImage >::SetDomainSigma ( ArrayType  _arg)
virtual

Standard get/set macros for filter parameters. DomainSigma is specified in the same units as the Image spacing. RangeSigma is specified in the units of intensity.

◆ SetDomainSigma() [2/2]

template<typename TInputImage , typename TOutputImage >
void itk::BilateralImageFilter< TInputImage, TOutputImage >::SetDomainSigma ( const double  v)
inline

Convenience get/set methods for setting all domain parameters to the same values.

Definition at line 145 of file itkBilateralImageFilter.h.

◆ SetFilterDimensionality()

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

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ SetNumberOfRangeGaussianSamples()

template<typename TInputImage , typename TOutputImage >
virtual void itk::BilateralImageFilter< TInputImage, TOutputImage >::SetNumberOfRangeGaussianSamples ( unsigned long  _arg)
virtual

Set/Get the number of samples in the approximation to the Gaussian used for the range smoothing. Samples are only generated in the range of [0, 4*m_RangeSigma]. Default is 100.

◆ SetRadius() [1/2]

template<typename TInputImage , typename TOutputImage >
void itk::BilateralImageFilter< TInputImage, TOutputImage >::SetRadius ( const  SizeValueType)

Set/Get the kernel radius, specified in pixels. This parameter is used only when AutomaticNeighborhoodSize is "off".

◆ SetRadius() [2/2]

template<typename TInputImage , typename TOutputImage >
virtual void itk::BilateralImageFilter< TInputImage, TOutputImage >::SetRadius ( SizeType  _arg)
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

◆ SetRangeSigma()

template<typename TInputImage , typename TOutputImage >
virtual void itk::BilateralImageFilter< TInputImage, TOutputImage >::SetRangeSigma ( double  _arg)
virtual

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

Member Data Documentation

◆ ImageDimension

template<typename TInputImage , typename TOutputImage >
constexpr unsigned int itk::BilateralImageFilter< TInputImage, TOutputImage >::ImageDimension = TOutputImage::ImageDimension
staticconstexpr

Extract some information from the image types. Dimensionality of the two images is assumed to be the same.

Definition at line 109 of file itkBilateralImageFilter.h.

◆ m_AutomaticKernelSize

template<typename TInputImage , typename TOutputImage >
bool itk::BilateralImageFilter< TInputImage, TOutputImage >::m_AutomaticKernelSize
private

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

Definition at line 230 of file itkBilateralImageFilter.h.

◆ m_DomainMu

template<typename TInputImage , typename TOutputImage >
double itk::BilateralImageFilter< TInputImage, TOutputImage >::m_DomainMu
private

Multiplier used to define statistical thresholds. Gaussians are only evaluated to m_DomainMu*m_DomainSigma or m_RangeMu*m_RangeSigma.

Definition at line 221 of file itkBilateralImageFilter.h.

◆ m_DomainSigma

template<typename TInputImage , typename TOutputImage >
ArrayType itk::BilateralImageFilter< TInputImage, TOutputImage >::m_DomainSigma
private

The standard deviation of the gaussian blurring kernel in each dimensional direction. Units match image spacing units.

Definition at line 217 of file itkBilateralImageFilter.h.

◆ m_DynamicRange

template<typename TInputImage , typename TOutputImage >
double itk::BilateralImageFilter< TInputImage, TOutputImage >::m_DynamicRange
private

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

Definition at line 234 of file itkBilateralImageFilter.h.

◆ m_DynamicRangeUsed

template<typename TInputImage , typename TOutputImage >
double itk::BilateralImageFilter< TInputImage, TOutputImage >::m_DynamicRangeUsed
private

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

Definition at line 235 of file itkBilateralImageFilter.h.

◆ m_FilterDimensionality

template<typename TInputImage , typename TOutputImage >
unsigned int itk::BilateralImageFilter< TInputImage, TOutputImage >::m_FilterDimensionality
private

Number of dimensions to process. Default is all dimensions

Definition at line 225 of file itkBilateralImageFilter.h.

◆ m_GaussianKernel

template<typename TInputImage , typename TOutputImage >
KernelType itk::BilateralImageFilter< TInputImage, TOutputImage >::m_GaussianKernel
private

Gaussian kernel used for smoothing in the spatial domain

Definition at line 228 of file itkBilateralImageFilter.h.

◆ m_NumberOfRangeGaussianSamples

template<typename TInputImage , typename TOutputImage >
unsigned long itk::BilateralImageFilter< TInputImage, TOutputImage >::m_NumberOfRangeGaussianSamples
private

Variables for the lookup table of range gaussian values

Definition at line 233 of file itkBilateralImageFilter.h.

◆ m_Radius

template<typename TInputImage , typename TOutputImage >
SizeType itk::BilateralImageFilter< TInputImage, TOutputImage >::m_Radius
private

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

Definition at line 229 of file itkBilateralImageFilter.h.

◆ m_RangeGaussianTable

template<typename TInputImage , typename TOutputImage >
std::vector<double> itk::BilateralImageFilter< TInputImage, TOutputImage >::m_RangeGaussianTable
private

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

Definition at line 236 of file itkBilateralImageFilter.h.

◆ m_RangeMu

template<typename TInputImage , typename TOutputImage >
double itk::BilateralImageFilter< TInputImage, TOutputImage >::m_RangeMu
private

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

Definition at line 222 of file itkBilateralImageFilter.h.

◆ m_RangeSigma

template<typename TInputImage , typename TOutputImage >
double itk::BilateralImageFilter< TInputImage, TOutputImage >::m_RangeSigma
private

The standard deviation of the gaussian blurring kernel in the image range. Units are intensity.

Definition at line 213 of file itkBilateralImageFilter.h.


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