ITK  5.2.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | List of all members
itk::GaussianImageSource< TOutputImage > Class Template Reference
Data Processing Objects » Data SourcesGroup Filtering » | Module ITKImageSources

#include <itkGaussianImageSource.h>

+ Inheritance diagram for itk::GaussianImageSource< TOutputImage >:
+ Collaboration diagram for itk::GaussianImageSource< TOutputImage >:

Public Types

using ArrayType = FixedArray< double, Self::NDimensions >
 
using ConstPointer = SmartPointer< const Self >
 
using DirectionType = typename TOutputImage::DirectionType
 
using OutputImagePixelType = typename TOutputImage::PixelType
 
using OutputImageRegionType = typename TOutputImage::RegionType
 
using OutputImageType = TOutputImage
 
using ParametersType = typename Superclass::ParametersType
 
using ParametersValueType = typename Superclass::ParametersValueType
 
using Pointer = SmartPointer< Self >
 
using PointType = typename TOutputImage::PointType
 
using Self = GaussianImageSource
 
using SizeType = typename TOutputImage::SizeType
 
using SizeValueType = typename TOutputImage::SizeValueType
 
using SpacingType = typename TOutputImage::SpacingType
 
using Superclass = ParametricImageSource< TOutputImage >
 
- Public Types inherited from itk::ParametricImageSource< TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using DataObjectPointer = DataObject::Pointer
 
using OutputImagePixelType = typename OutputImageType::PixelType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageType = TOutputImage
 
using ParametersType = Array< ParametersValueType >
 
using ParametersValueType = double
 
using Pointer = SmartPointer< Self >
 
using Self = ParametricImageSource
 
using Superclass = GenerateImageSource< TOutputImage >
 
- Public Types inherited from itk::GenerateImageSource< TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using DirectionType = typename OutputImageType::DirectionType
 
using IndexType = typename OutputImageType::IndexType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageType = TOutputImage
 
using PixelType = typename OutputImageType::PixelType
 
using Pointer = SmartPointer< Self >
 
using PointType = typename OutputImageType::PointType
 
using ReferenceImageBaseType = ImageBase< TOutputImage::ImageDimension >
 
using RegionType = typename OutputImageType::RegionType
 
using Self = GenerateImageSource
 
using SizeType = typename TOutputImage::SizeType
 
using SizeValueType = typename TOutputImage::SizeValueType
 
using SpacingType = typename OutputImageType::SpacingType
 
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::ParametricImageSource< TOutputImage >
virtual void SetParameters (const ParametersType &parameters)=0
 
- Public Member Functions inherited from itk::GenerateImageSource< TOutputImage >
virtual bool GetUseReferenceImage () const
 
virtual void SetUseReferenceImage (bool _arg)
 
virtual void UseReferenceImageOff ()
 
virtual void UseReferenceImageOn ()
 
virtual void SetSize (SizeType _arg)
 
virtual const SizeType & GetSize () const
 
virtual void SetSize (SizeValueType data[])
 
virtual void SetSpacing (SpacingType _arg)
 
virtual const SpacingType & GetSpacing () const
 
virtual void SetSpacing (const float data[])
 
virtual void SetOrigin (PointType _arg)
 
virtual const PointType & GetOrigin () const
 
virtual void SetOrigin (const float data[])
 
virtual void SetDirection (DirectionType _arg)
 
virtual const DirectionType & GetDirection () const
 
virtual void SetStartIndex (IndexType _arg)
 
virtual const IndexType & GetStartIndex () const
 
void SetOutputParametersFromImage (const ReferenceImageBaseType *image)
 
virtual void SetReferenceImage (const ReferenceImageBaseType *input)
 
virtual const ReferenceImageBaseType * GetReferenceImage () const
 
- Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType * GetOutput ()
 
const OutputImageType * GetOutput () const
 
OutputImageType * GetOutput (unsigned int idx)
 
virtual void GraftOutput (DataObject *graft)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *graft)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *graft)
 
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 void EnlargeOutputRequestedRegion (DataObject *)
 
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 ()
 
virtual float GetProgress () const
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
void IncrementProgress (float increment)
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 
virtual void SetReleaseDataFlag (bool val)
 
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 ThreadIdType & GetNumberOfWorkUnits () const
 
MultiThreaderType * GetMultiThreader () 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
 
unsigned long AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
Command * GetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionary & GetMetaDataDictionary ()
 
const MetaDataDictionary & GetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStamp & GetTimeStamp () 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
Pointer Clone () const
 
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool val)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 

Static Public Attributes

static constexpr unsigned int NDimensions = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ParametricImageSource< TOutputImage >
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::GenerateImageSource< TOutputImage >
static constexpr unsigned int NDimensions = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
ArrayType m_Sigma
 
ArrayType m_Mean
 
double m_Scale { 255.0 }
 
bool m_Normalized { false }
 
virtual void SetScale (double _arg)
 
virtual const double & GetScale () const
 
virtual void SetNormalized (bool _arg)
 
virtual const bool & GetNormalized () const
 
virtual void NormalizedOn ()
 
virtual void NormalizedOff ()
 
virtual void SetSigma (ArrayType _arg)
 
virtual const ArrayType & GetSigma () const
 
virtual void SetMean (ArrayType _arg)
 
virtual const ArrayType & GetMean () const
 
void SetParameters (const ParametersType &parameters) override
 
ParametersType GetParameters () const override
 
unsigned int GetNumberOfParameters () const override
 
 GaussianImageSource ()
 
 ~GaussianImageSource () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void GenerateData () override
 

Additional Inherited Members

- Protected Member Functions inherited from itk::ParametricImageSource< TOutputImage >
 ParametricImageSource ()=default
 
 ~ParametricImageSource () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
- Protected Member Functions inherited from itk::GenerateImageSource< TOutputImage >
 GenerateImageSource ()
 
 ~GenerateImageSource () override=default
 
void GenerateOutputInformation () override
 
- Protected Member Functions inherited from itk::ImageSource< TOutputImage >
 ImageSource ()
 
 ~ImageSource () override=default
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &region, ThreadIdType threadId)
 
virtual void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)
 
virtual void AllocateOutputs ()
 
virtual void BeforeThreadedGenerateData ()
 
virtual void AfterThreadedGenerateData ()
 
virtual const ImageRegionSplitterBase * GetImageRegionSplitter () 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
 
DataObject * GetInput (const DataObjectIdentifierType &key)
 
const DataObject * GetInput (const DataObjectIdentifierType &key) const
 
DataObject * GetInput (DataObjectPointerArraySizeType idx)
 
const DataObject * GetInput (DataObjectPointerArraySizeType idx) const
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)
 
virtual void AddInput (DataObject *input)
 
virtual void PushBackInput (const DataObject *input)
 
virtual void PopBackInput ()
 
virtual void PushFrontInput (const DataObject *input)
 
virtual void PopFrontInput ()
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
DataObject * GetPrimaryInput ()
 
const DataObject * GetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
virtual void SetPrimaryInput (DataObject *object)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual const DataObjectPointerArraySizeType & GetNumberOfRequiredInputs () 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)
 
DataObject * GetOutput (const DataObjectIdentifierType &key)
 
const DataObject * GetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObject * GetOutput (DataObjectPointerArraySizeType i)
 
const DataObject * GetOutput (DataObjectPointerArraySizeType i) const
 
virtual void SetOutput (const DataObjectIdentifierType &name, DataObject *output)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
DataObject * GetPrimaryOutput ()
 
const DataObject * GetPrimaryOutput () const
 
virtual void SetPrimaryOutput (DataObject *object)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)
 
virtual void AddOutput (DataObject *output)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual const DataObjectPointerArraySizeType & GetNumberOfRequiredOutputs () 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 VerifyInputInformation () ITKv5_CONST
 
virtual void GenerateInputRequestedRegion ()
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
virtual void PropagateResetPipeline ()
 
virtual void ReleaseInputs ()
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void RestoreInputReleaseDataFlags ()
 
virtual bool GetThreaderUpdateProgress () const
 
virtual void ThreaderUpdateProgressOn ()
 
virtual void ThreaderUpdateProgressOff ()
 
virtual void SetThreaderUpdateProgress (bool arg)
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
 ~Object () override
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &timeStamp)
 
- 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 ImageRegionSplitterBase * GetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION ThreaderCallback (void *arg)
 
- Static Protected Member Functions inherited from itk::ProcessObject
static constexpr float progressFixedToFloat (uint32_t fixed)
 
static uint32_t progressFloatToFixed (float f)
 
- 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 TOutputImage>
class itk::GaussianImageSource< TOutputImage >

Generate an n-dimensional image of a Gaussian.

GaussianImageSource generates an image of a Gaussian. m_Normalized determines whether or not the Gaussian is normalized (whether or not the sum over infinite space is 1.0) When creating an image, it is preferable to not normalize the Gaussian m_Scale scales the output of the Gaussian to span a range larger than 0->1, and is typically set to the maximum value of the output data type (for instance, 255 for uchars)

The output image may be of any dimension.

Examples
SphinxExamples/src/Core/Common/ObserveAnEvent/Code.cxx, and SphinxExamples/src/Filtering/FFT/FilterImageInFourierDomain/Code.cxx.

Definition at line 45 of file itkGaussianImageSource.h.

Member Typedef Documentation

◆ ArrayType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::ArrayType = FixedArray<double, Self::NDimensions>

Type used to store Gaussian parameters.

Definition at line 81 of file itkGaussianImageSource.h.

◆ ConstPointer

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::ConstPointer = SmartPointer<const Self>

Definition at line 54 of file itkGaussianImageSource.h.

◆ DirectionType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::DirectionType = typename TOutputImage::DirectionType

Direction type alias support The direction is the direction cosines of the image.

Definition at line 75 of file itkGaussianImageSource.h.

◆ OutputImagePixelType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::OutputImagePixelType = typename TOutputImage::PixelType

Typedef for the output image PixelType.

Definition at line 60 of file itkGaussianImageSource.h.

◆ OutputImageRegionType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::OutputImageRegionType = typename TOutputImage::RegionType

Typedef to describe the output image region type.

Definition at line 63 of file itkGaussianImageSource.h.

◆ OutputImageType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::OutputImageType = TOutputImage

Typedef for the output image type.

Definition at line 57 of file itkGaussianImageSource.h.

◆ ParametersType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::ParametersType = typename Superclass::ParametersType

Definition at line 89 of file itkGaussianImageSource.h.

◆ ParametersValueType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::ParametersValueType = typename Superclass::ParametersValueType

Types for parameters.

Definition at line 88 of file itkGaussianImageSource.h.

◆ Pointer

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::Pointer = SmartPointer<Self>

Definition at line 53 of file itkGaussianImageSource.h.

◆ PointType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::PointType = typename TOutputImage::PointType

Origin type alias support The origin is the geometric coordinates of the index (0,0).

Definition at line 71 of file itkGaussianImageSource.h.

◆ Self

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::Self = GaussianImageSource

Standard class type aliases.

Definition at line 51 of file itkGaussianImageSource.h.

◆ SizeType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::SizeType = typename TOutputImage::SizeType

Size type matches that used for images

Definition at line 84 of file itkGaussianImageSource.h.

◆ SizeValueType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::SizeValueType = typename TOutputImage::SizeValueType

Definition at line 85 of file itkGaussianImageSource.h.

◆ SpacingType

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::SpacingType = typename TOutputImage::SpacingType

Spacing type alias support Spacing holds the size of a pixel. The spacing is the geometric distance between image samples.

Definition at line 67 of file itkGaussianImageSource.h.

◆ Superclass

template<typename TOutputImage >
using itk::GaussianImageSource< TOutputImage >::Superclass = ParametricImageSource<TOutputImage>

Definition at line 52 of file itkGaussianImageSource.h.

Constructor & Destructor Documentation

◆ GaussianImageSource()

template<typename TOutputImage >
itk::GaussianImageSource< TOutputImage >::GaussianImageSource ( )
protected

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

◆ ~GaussianImageSource()

template<typename TOutputImage >
itk::GaussianImageSource< TOutputImage >::~GaussianImageSource ( )
overrideprotecteddefault

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

Member Function Documentation

◆ CreateAnother()

template<typename TOutputImage >
virtual::itk::LightObject::Pointer itk::GaussianImageSource< 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.

◆ GenerateData()

template<typename TOutputImage >
void itk::GaussianImageSource< TOutputImage >::GenerateData ( )
overrideprotectedvirtual

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

Reimplemented from itk::ImageSource< TOutputImage >.

◆ GetMean()

template<typename TOutputImage >
virtual const ArrayType& itk::GaussianImageSource< TOutputImage >::GetMean ( ) const
virtual

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

◆ GetNameOfClass()

template<typename TOutputImage >
virtual const char* itk::GaussianImageSource< TOutputImage >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::ParametricImageSource< TOutputImage >.

◆ GetNormalized()

template<typename TOutputImage >
virtual const bool& itk::GaussianImageSource< TOutputImage >::GetNormalized ( ) const
virtual

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

◆ GetNumberOfParameters()

template<typename TOutputImage >
unsigned int itk::GaussianImageSource< TOutputImage >::GetNumberOfParameters ( ) const
overridevirtual

Get the number of parameters for this image source. When this source is templated over an N-dimensional output image type, the number of parameters is 2*N+1.

Implements itk::ParametricImageSource< TOutputImage >.

◆ GetParameters()

template<typename TOutputImage >
ParametersType itk::GaussianImageSource< TOutputImage >::GetParameters ( ) const
overridevirtual

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

Implements itk::ParametricImageSource< TOutputImage >.

◆ GetScale()

template<typename TOutputImage >
virtual const double& itk::GaussianImageSource< TOutputImage >::GetScale ( ) const
virtual

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

◆ GetSigma()

template<typename TOutputImage >
virtual const ArrayType& itk::GaussianImageSource< TOutputImage >::GetSigma ( ) const
virtual

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

◆ New()

template<typename TOutputImage >
static Pointer itk::GaussianImageSource< TOutputImage >::New ( )
static

Method for creation through the object factory.

◆ NormalizedOff()

template<typename TOutputImage >
virtual void itk::GaussianImageSource< TOutputImage >::NormalizedOff ( )
virtual

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

◆ NormalizedOn()

template<typename TOutputImage >
virtual void itk::GaussianImageSource< TOutputImage >::NormalizedOn ( )
virtual

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

◆ PrintSelf()

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

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

Reimplemented from itk::ImageSource< TOutputImage >.

◆ SetMean()

template<typename TOutputImage >
virtual void itk::GaussianImageSource< TOutputImage >::SetMean ( ArrayType  _arg)
virtual

Set/Get the mean in each direction.

◆ SetNormalized()

template<typename TOutputImage >
virtual void itk::GaussianImageSource< TOutputImage >::SetNormalized ( bool  _arg)
virtual

Set/Get whether or not to normalize the Gaussian. Default is false.

◆ SetParameters()

template<typename TOutputImage >
void itk::GaussianImageSource< TOutputImage >::SetParameters ( const ParametersType &  parameters)
override

Set/Get the parameters for this source. When this source is templated over an N-dimensional output image type, the first N values in the parameter array are the Sigma parameters in each dimension, the next N values are the Mean parameters in each dimension, and the last value is the Scale.

◆ SetScale()

template<typename TOutputImage >
virtual void itk::GaussianImageSource< TOutputImage >::SetScale ( double  _arg)
virtual

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

◆ SetSigma()

template<typename TOutputImage >
virtual void itk::GaussianImageSource< TOutputImage >::SetSigma ( ArrayType  _arg)
virtual

Set/Get the standard deviation in each direction.

Member Data Documentation

◆ m_Mean

template<typename TOutputImage >
ArrayType itk::GaussianImageSource< TOutputImage >::m_Mean
private

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

Definition at line 149 of file itkGaussianImageSource.h.

◆ m_Normalized

template<typename TOutputImage >
bool itk::GaussianImageSource< TOutputImage >::m_Normalized { false }
private

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

Definition at line 153 of file itkGaussianImageSource.h.

◆ m_Scale

template<typename TOutputImage >
double itk::GaussianImageSource< TOutputImage >::m_Scale { 255.0 }
private

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

Definition at line 151 of file itkGaussianImageSource.h.

◆ m_Sigma

template<typename TOutputImage >
ArrayType itk::GaussianImageSource< TOutputImage >::m_Sigma
private

Gets and sets for Gaussian parameters Set/Get the scale factor to multiply the true value of the Gaussian.

Definition at line 147 of file itkGaussianImageSource.h.

◆ NDimensions

template<typename TOutputImage >
constexpr unsigned int itk::GaussianImageSource< TOutputImage >::NDimensions = TOutputImage::ImageDimension
staticconstexpr

Dimensionality of the output image

Definition at line 78 of file itkGaussianImageSource.h.

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Generated on Thu Apr 1 2021 02:20:38 for ITK by   doxygen 1.8.16