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itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField > Class Template Reference
[Geometric Transformation Filters]

#include <itkWarpVectorImageFilter.h>

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List of all members.

Detailed Description

template<class TInputImage, class TOutputImage, class TDeformationField>
class itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >

Warps an image using an input deformation field.

WarpVectorImageFilter warps an existing image with respect to a given deformation field. The input image is expected to have vector-like pixel types.

A deformation field is represented as a image whose pixel type is some vector type with at least N elements, where N is the dimension of the input image. The vector type must support element access via operator [].

The output image is produced by inverse mapping: the output pixels are mapped back onto the input image. This scheme avoids the creation of any holes and overlaps in the output image.

Each vector in the deformation field represent the distance between a geometric point in the input space and a point in the output space such that:

\[ p_{in} = p_{out} + d \]

Typically the mapped position does not correspond to an integer pixel position in the input image. Interpolation via an image function is used to compute values at non-integer positions. The default interpolation typed used is the LinearInterpolateImageFunction. The user can specify a particular interpolation function via SetInterpolator(). Note that the input interpolator must derive from base class InterpolateImageFunction.

Position mapped to outside of the input image buffer are assigned a edge padding value.

The LargetPossibleRegion for the output is inherited from the input deformation field. The output image spacing and origin may be set via SetOutputSpacing, SetOutputOrigin. The default are respectively a vector of 1's and a vector of 0's.

This class is templated over the type of the input image, the type of the output image and the type of the deformation field.

The input image is set via SetInput. The input deformation field is set via SetDeformationField.

This filter is implemented as a multithreaded filter.

Warning:
This filter assumes that the input type, output type and deformation field type all have the same number of dimensions.
Author:
Corinne Mattmann
MultiThreaded

Definition at line 87 of file itkWarpVectorImageFilter.h.

Public Types

typedef SmartPointer< const
Self
ConstPointer
typedef double CoordRepType
typedef DataObject::Pointer DataObjectPointer
typedef std::vector< DataObjectPointerDataObjectPointerArray
typedef VectorLinearInterpolateImageFunction<
InputImageType, CoordRepType
DefaultInterpolatorType
typedef DeformationFieldType::Pointer DeformationFieldPointer
typedef TDeformationField DeformationFieldType
typedef DeformationFieldType::PixelType DisplacementType
typedef OutputImageType::IndexType IndexType
typedef Superclass::InputImageConstPointer InputImageConstPointer
typedef InputImageType::PixelType InputImagePixelType
typedef Superclass::InputImagePointer InputImagePointer
typedef InputImageType::RegionType InputImageRegionType
typedef Superclass::InputImageType InputImageType
typedef InterpolatorType::Pointer InterpolatorPointer
typedef VectorInterpolateImageFunction<
InputImageType, CoordRepType
InterpolatorType
typedef OutputImageType::PixelType OutputImagePixelType
typedef Superclass::OutputImagePointer OutputImagePointer
typedef TOutputImage::RegionType OutputImageRegionType
typedef Superclass::OutputImageType OutputImageType
typedef OutputImageType::PixelType PixelType
typedef SmartPointer< SelfPointer
typedef Point< CoordRepType,
itkGetStaticConstMacro(ImageDimension) 
PointType )
typedef WarpVectorImageFilter Self
typedef OutputImageType::SizeType SizeType
typedef OutputImageType::SpacingType SpacingType
typedef ImageToImageFilter<
TInputImage, TOutputImage
Superclass
typedef OutputImageType::PixelType::ValueType ValueType

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
virtual void BeforeThreadedGenerateData ()
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
virtual void GenerateInputRequestedRegion ()
virtual void GenerateOutputInformation ()
virtual const bool & GetAbortGenerateData ()
CommandGetCommand (unsigned long tag)
bool GetDebug () const
DeformationFieldTypeGetDeformationField (void)
virtual PixelType GetEdgePaddingValue ()
const InputImageTypeGetInput (unsigned int idx)
const InputImageTypeGetInput (void)
DataObjectPointerArrayGetInputs ()
virtual InterpolatorTypeGetInterpolator ()
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
virtual unsigned long GetMTime () const
MultiThreaderGetMultiThreader ()
virtual const char * GetNameOfClass () const
std::vector< DataObjectPointer
>::size_type 
GetNumberOfInputs () const
std::vector< DataObjectPointer
>::size_type 
GetNumberOfOutputs () const
virtual const int & GetNumberOfThreads ()
virtual std::vector< DataObjectPointer
>::size_type 
GetNumberOfValidRequiredInputs () const
OutputImageTypeGetOutput (unsigned int idx)
Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have and both
*methods update the data Here
are three ways to use
GetOutput () and make sure the data is valid.In these *examples
virtual const PointTypeGetOutputOrigin ()
Return an array with all the
outputs of this process object
*This is useful for tracing
forward in the pipeline to
contruct *graphs etc *DataObjectPointerArray
GetOutputs ()
virtual const SpacingTypeGetOutputSpacing ()
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual bool GetReleaseDataFlag () const
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
virtual void GraftOutput (DataObject *output)
bool HasObserver (const EventObject &event) const
Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have and both
*methods update the data Here
are three ways to use *a image
is a pointer to some Image
and the *particular ProcessObjects
involved are filters The same
*examples apply to non 
image (e.g.Mesh) data as well.**\code *anotherFilter->SetInput(someFilter->GetOutput())
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
 itkStaticConstMacro (OutputImageDimension, unsigned int, TOutputImage::ImageDimension)
ImageDimension constants * itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension)
 itkStaticConstMacro (PixelDimension, unsigned int, PixelType::Dimension)
 itkStaticConstMacro (ImageDimension, unsigned int, TOutputImage::ImageDimension)
virtual DataObjectPointer MakeOutput (unsigned int idx)
virtual void Modified () const
virtual void PopBackInput ()
virtual void PopFrontInput ()
virtual void PrepareOutputs ()
void Print (std::ostream &os, Indent indent=0) const
virtual void PropagateRequestedRegion (DataObject *output)
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on the application
can accomplish this by popping
*an input off the front of
the input list and push a
new image *onto the back of
input list this only makes
sense for *filters that single
type of input **Other uses
are also possible For a single
input pushing *and popping
inputs allow the application
to temporarily replace *an
input to a filter **virtual
void 
PushBackInput (const InputImageType *image)
virtual void PushFrontInput (const InputImageType *image)
virtual void Register () const
virtual void ReleaseDataBeforeUpdateFlagOff ()
virtual void ReleaseDataBeforeUpdateFlagOn ()
void ReleaseDataFlagOff ()
void ReleaseDataFlagOn ()
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void ResetPipeline ()
virtual void SetAbortGenerateData (bool _arg)
void SetDebug (bool debugFlag) const
void SetDeformationField (DeformationFieldType *field)
virtual void SetEdgePaddingValue (PixelType _arg)
virtual void SetInput (unsigned int, const TInputImage *image)
Set Get the image input of
this process object *virtual
void 
SetInput (const InputImageType *image)
virtual void SetInterpolator (InterpolatorType *_arg)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
Get Set the number of threads
to create when executing
*virtual void 
SetNumberOfThreads (int _arg)
virtual void SetOutputOrigin (const double *values)
Set the output image origin
*virtual void 
SetOutputOrigin (PointType _arg)
virtual void SetOutputSpacing (const double *values)
Set the output image spacing
*virtual void 
SetOutputSpacing (SpacingType _arg)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
Turn on off the flags to control
whether the bulk data belonging
*to the outputs of this ProcessObject
are released after being
*used by a downstream ProcessObject
Default value is off Another
*options for controlling memory
utilization is the *ReleaseDataBeforeUpdateFlag
*virtual void 
SetReleaseDataFlag (bool flag)
virtual void UnRegister () const
*endcode *In the above the
two lines of code can be in
*either order **Note that
it may be more efficient to
*use a pipeline than to call 
Update () once for each filter in *turn.**For an image
*endcode *In the above the
two lines of code can be in
*either order **Note that 
Update () is not called automatically except within a *pipeline as in the first example.When\b streaming(using a *StreamingImageFilter) is activated
*endcode **code *someFilter Update ()
*image Update ()
*anotherFilter Update ()
Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have 
Update () methods
Get the output data of this
process object The output
of this *function is not valid
until an appropriate 
Update () method has *been called
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)

Static Public Member Functions

static void BreakOnError ()
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static Pointer New ()
This is a global flag that
controls whether any warning
*or error messages are displayed
*static void 
SetGlobalWarningDisplay (bool flag)

Public Attributes

Allow people to add remove
invoke observers(callbacks)
to any ITK *object.This is
an implementation of the subject/observer design *pattern.An
observer is added by specifying
an event to respond to *and
an itk unsigned lon 
AddObserver )(const EventObject &event, Command *) const
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on the application
can accomplish this by popping
*an input off the front of
the input list and push a
new image *onto the back of
input list 
Again
This is a global flag that
controls whether any 
debug
*endcode *In the above example
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on the application
can accomplish this by popping
*an input off the front of
the input list and push a
new image *onto the back of
input list this only makes
sense for *filters that single
type of input **Other uses
are also possible For a single
input 
filter
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all 
filters
image = someFilter->GetOutput()
*endcode **In this a someFilter
and a anotherFilter are said
*to constitute a b pipeline
**code
image = someFilter->GetOutput()
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on * 
images
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on 
images
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on 
images
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For 
instance
Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have and both
*methods update the data Here
are three ways to use *a image
is a pointer to some Image 
object
*endcode *In the above the
two lines of code can be in
*either order **Note that
it may be more efficient to
*use a pipeline than to call
the data generated is for
the requested * 
Region
*endcode **In this situation

Protected Types

typedef ImageToImageFilterDetail::ImageRegionCopier<
itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension) 
InputToOutputRegionCopierType )
typedef ImageToImageFilterDetail::ImageRegionCopier<
itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension) 
OutputToInputRegionCopierType )

Protected Member Functions

virtual void AddInput (DataObject *input)
virtual void AddOutput (DataObject *output)
virtual void AfterThreadedGenerateData ()
virtual void AllocateOutputs ()
virtual void CacheInputReleaseDataFlags ()
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
virtual void GenerateData ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
const DataObjectGetInput (unsigned int idx) const
virtual const unsigned int & GetNumberOfRequiredInputs ()
virtual const unsigned int & GetNumberOfRequiredOutputs ()
const DataObjectGetOutput (unsigned int idx) const
 ImageToImageFilter ()
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
virtual void PropagateResetPipeline ()
**these methods end of hiding
the versions from the superclass
*ProcessObject whose arguments
are DataObjects we re expose
*the versions from ProcessObject
to avoid warnings about hiding
*methods from the superclass
*void 
PushBackInput (const DataObject *input)
PushBackInput ()
PushFronInput () in the public section force the *input to be the type expected by an ImageToImageFilter.However
void PushFrontInput (const DataObject *input)
virtual void ReleaseInputs ()
virtual void RemoveInput (DataObject *input)
virtual void RemoveOutput (DataObject *output)
virtual void RestoreInputReleaseDataFlags ()
Protected methods for setting
inputs *Subclasses make use
of them for setting input
*virtual void 
SetNthInput (unsigned int num, DataObject *input)
Protected methods for setting
outputs *Subclasses make use
of them for getting output
*virtual void 
SetNthOutput (unsigned int num, DataObject *output)
void SetNumberOfInputs (unsigned int num)
void SetNumberOfOutputs (unsigned int num)
virtual void SetNumberOfRequiredInputs (unsigned int _arg)
virtual void SetNumberOfRequiredOutputs (unsigned int _arg)
virtual int SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
 WarpVectorImageFilter ()
 ~WarpVectorImageFilter ()

Static Protected Member Functions

static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)

Protected Attributes

**these methods end of hiding
the versions from the superclass
*ProcessObject whose arguments
are DataObjects 
Here
TimeStamp m_OutputInformationMTime
int m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_Updating
Methods invoked by virtual
Print() to print information
about the object *including
superclasses.Typically not
called by the user(use Print()*instead) but used in the
hierarchical print process
to combine the *output of
several classes.*/virtual
void PrintSelf(std voi 
PrintHeader )(std::ostream &os, Indent indent) const


Member Typedef Documentation

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef SmartPointer<const Self> itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::ConstPointer
 

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

Definition at line 95 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef double itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::CoordRepType
 

Interpolator typedef support.

Definition at line 132 of file itkWarpVectorImageFilter.h.

template<class TOutputImage>
typedef DataObject::Pointer itk::ImageSource< TOutputImage >::DataObjectPointer [inherited]
 

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::StatisticsImageFilter< TInputImage >, and itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 62 of file itkImageSource.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray [inherited]
 

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef VectorLinearInterpolateImageFunction<InputImageType,CoordRepType> itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::DefaultInterpolatorType
 

Definition at line 136 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef DeformationFieldType::Pointer itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::DeformationFieldPointer
 

Definition at line 128 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef TDeformationField itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::DeformationFieldType
 

Deformation field typedef support.

Definition at line 127 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef DeformationFieldType::PixelType itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::DisplacementType
 

Definition at line 129 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef OutputImageType::IndexType itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::IndexType
 

Definition at line 112 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef Superclass::InputImageConstPointer itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::InputImageConstPointer
 

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

Definition at line 111 of file itkWarpVectorImageFilter.h.

typedef InputImageType::PixelType itk::ImageToImageFilter< TInputImage , TOutputImage >::InputImagePixelType [inherited]
 

Reimplemented in itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRIBiasFieldCorrectionFilter, itk::RegionGrowImageFilter< TInputImage, TOutputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::CannyEdgeDetectionImageFilter, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ConstantPadImageFilter< TInputImage, TOutputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WrapPadImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, and itk::InPlaceImageFilter< TInputImage, TOutputImage >.

Definition at line 85 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef Superclass::InputImagePointer itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::InputImagePointer
 

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

Definition at line 108 of file itkWarpVectorImageFilter.h.

typedef InputImageType::RegionType itk::ImageToImageFilter< TInputImage , TOutputImage >::InputImageRegionType [inherited]
 

Reimplemented in itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::MRIBiasFieldCorrectionFilter, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ConstantPadImageFilter< TInputImage, TOutputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::IterativeInverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::MeanImageFilter< TInputImage, TOutputImage >, itk::MedianImageFilter< TInputImage, TOutputImage >, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NoiseImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WrapPadImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, and itk::InPlaceImageFilter< TInputImage, TOutputImage >.

Definition at line 84 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef Superclass::InputImageType itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::InputImageType
 

Inherit some types from the superclass.

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

Definition at line 107 of file itkWarpVectorImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) itk::ImageToImageFilter< TInputImage , TOutputImage >::InputToOutputRegionCopierType) [protected, inherited]
 

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

Definition at line 163 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef InterpolatorType::Pointer itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::InterpolatorPointer
 

Definition at line 134 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef VectorInterpolateImageFunction<InputImageType,CoordRepType> itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::InterpolatorType
 

Definition at line 133 of file itkWarpVectorImageFilter.h.

template<class TOutputImage>
typedef OutputImageType::PixelType itk::ImageSource< TOutputImage >::OutputImagePixelType [inherited]
 

Reimplemented in itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRIBiasFieldCorrectionFilter, itk::RegionGrowImageFilter< TInputImage, TOutputImage >, itk::ThresholdMaximumConnectedComponentsImageFilter< TInputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryPointImageToBloxBoundaryProfileImageFilter< TSourceImage >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::BSplineCenteredResampleImageFilterBase< TInputImage, TOutputImage >, itk::BSplineResampleImageFilterBase< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter, itk::ChangeInformationImageFilter< TInputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ConstantPadImageFilter< TInputImage, TOutputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::GaussianImageSource< TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::IterativeInverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinImageFilter, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::RandomImageSource< TOutputImage >, itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ScalarToArrayCastImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleInPlaceImageFilter< TInputImage >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >, itk::ThresholdImageFilter< TImage >, itk::TobogganImageFilter< TInputImage >, itk::TwoOutputExampleImageFilter< TImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WrapPadImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueDifference< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AND< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Minimum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Div< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Sub2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Maximum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Mult< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueAddition< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Atan2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AbsoluteValueDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::OR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskNegatedInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::WeightedAdd2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Add2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::SquaredDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType, Functor::MakeJoin< TInputImage1, TInputImage2 >::FunctorType >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Modulus2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DCovariantVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::XOR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::ComposeRGB< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DCovariantVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Modulus3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::ModulusSquare3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ImageAndPathToImageFilter< TImage, ParametricPath< 2 >, TImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, and itk::InPlaceImageFilter< TImage, TImage >.

Definition at line 71 of file itkImageSource.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef Superclass::OutputImagePointer itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::OutputImagePointer
 

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 110 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef TOutputImage::RegionType itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::OutputImageRegionType
 

Typedef to describe the output image region type.

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

Definition at line 101 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef Superclass::OutputImageType itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::OutputImageType
 

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 109 of file itkWarpVectorImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) itk::ImageToImageFilter< TInputImage , TOutputImage >::OutputToInputRegionCopierType) [protected, inherited]
 

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

Definition at line 168 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef OutputImageType::PixelType itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::PixelType
 

Definition at line 114 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef SmartPointer<Self> itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::Pointer
 

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

Definition at line 94 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef Point<CoordRepType,itkGetStaticConstMacro(ImageDimension) itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::PointType)
 

Point type

Definition at line 139 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef WarpVectorImageFilter itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::Self
 

Standard class typedefs.

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

Definition at line 92 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef OutputImageType::SizeType itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::SizeType
 

Definition at line 113 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef OutputImageType::SpacingType itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::SpacingType
 

Definition at line 115 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef ImageToImageFilter<TInputImage,TOutputImage> itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::Superclass
 

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

Definition at line 93 of file itkWarpVectorImageFilter.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
typedef OutputImageType::PixelType::ValueType itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::ValueType
 

Definition at line 116 of file itkWarpVectorImageFilter.h.


Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage, class TDeformationField>
itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::WarpVectorImageFilter  )  [protected]
 

template<class TInputImage, class TOutputImage, class TDeformationField>
itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::~WarpVectorImageFilter  )  [inline, protected]
 

Definition at line 208 of file itkWarpVectorImageFilter.h.


Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff  )  [virtual, inherited]
 

virtual void itk::ProcessObject::AbortGenerateDataOn  )  [virtual, inherited]
 

Turn on and off the AbortGenerateData flag.

virtual void itk::ProcessObject::AddInput DataObject input  )  [protected, virtual, inherited]
 

virtual void itk::ProcessObject::AddOutput DataObject output  )  [protected, virtual, inherited]
 

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::AfterThreadedGenerateData  )  [inline, protected, virtual, inherited]
 

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::InterpolateImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleInPlaceImageFilter< TInputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::StatisticsImageFilter< TInputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, and itk::DifferenceImageFilter< TInputImage, TOutputImage >.

Definition at line 254 of file itkImageSource.h.

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::AllocateOutputs  )  [protected, virtual, inherited]
 

The GenerateData method normally allocates the buffers for all of the outputs of a filter. Some filters may want to override this default behavior. For example, a filter may have multiple outputs with varying resolution. Or a filter may want to process data in place by grafting its input to its output.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::StatisticsImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, and itk::InPlaceImageFilter< TImage, TImage >.

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::BeforeThreadedGenerateData  )  [virtual]
 

This method is used to set the state of the filter before multi-threading.

Reimplemented from itk::ImageSource< TOutputImage >.

static void itk::LightObject::BreakOnError  )  [static, inherited]
 

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

virtual void itk::ProcessObject::CacheInputReleaseDataFlags  )  [protected, virtual, inherited]
 

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::CallCopyInputRegionToOutputRegion OutputImageRegionType destRegion,
const InputImageRegionType srcRegion
[protected, virtual, inherited]
 

This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.

This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.

If a filter needs a different default behavior, it can override this method.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::CallCopyOutputRegionToInputRegion InputImageRegionType destRegion,
const OutputImageRegionType srcRegion
[protected, virtual, inherited]
 

This function calls the actual region copier to do the mapping from output image space to input image space. It uses a Function object used for dispatching to various routines to copy an output region (start index and size) to an input region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::ExtractImageFilter can support output images of a lower dimension that the input.

This function object can be used by GenerateOutputInformation() to copy the input LargestPossibleRegion to the output LargestPossibleRegion and can also be used in GenerateData or ThreadedGenerateData() where a filter may need to map an output region to an input region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the output region information is copied into the first portion of the input region and the rest of the input region is set to zero. If the input region is a lower dimension than the output, the first portion of the output region is copied to the input region.

If a filter needs a different default behavior, it can override this method. The ExtractImageFilter overrides this function object so that if the input image is a higher dimension than the output image, the filter can control "where" in the input image the output subimage is extracted (as opposed to mapping to first few dimensions of the input).

Reimplemented in itk::ExtractImageFilter< TInputImage, TOutputImage >.

virtual LightObject::Pointer itk::Object::CreateAnother  )  const [virtual, inherited]
 

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::LightObject.

virtual void itk::Object::DebugOff  )  const [virtual, inherited]
 

Turn debugging output off.

virtual void itk::Object::DebugOn  )  const [virtual, inherited]
 

Turn debugging output on.

virtual void itk::LightObject::Delete  )  [virtual, inherited]
 

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion DataObject  )  [inline, virtual, inherited]
 

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, and itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >.

Definition at line 222 of file itkProcessObject.h.

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GenerateData  )  [protected, virtual, inherited]
 

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.

See also:
ThreadedGenerateData()

Reimplemented from itk::ProcessObject.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryPruningImageFilter< TInputImage, TOutputImage >, itk::BinaryThinningImageFilter< TInputImage, TOutputImage >, itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >, itk::FastChamferDistanceImageFilter< TInputImage, TOutputImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FastMarchingUpwindGradientImageFilter< TLevelSet, TSpeedImage >, itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MRIBiasFieldCorrectionFilter, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::NarrowBandCurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >, itk::ScalarImageKmeansImageFilter< TInputImage >, itk::STAPLEImageFilter< TInputImage, TOutputImage >, itk::ThresholdMaximumConnectedComponentsImageFilter< TInputImage >, itk::VnlFFTComplexConjugateToRealImageFilter< TPixel, Dimension >, itk::VnlFFTRealToComplexConjugateImageFilter< TPixel, Dimension >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType >, itk::ApproximateSignedDistanceMapImageFilter< TInputImage, TOutputImage >, itk::BinomialBlurImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryPointImageToBloxBoundaryProfileImageFilter< TSourceImage >, itk::BloxBoundaryPointToCoreAtomImageFilter< dim >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter, itk::ChangeInformationImageFilter< TInputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, TFunctor, TMaskImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::DifferenceOfGaussiansGradientImageFilter< TInputImage, TDataType >, itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GaussianImageSource< TOutputImage >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::Hessian3DToVesselnessMeasureImageFilter< TPixel >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::IterativeInverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NonThreadedShrinkImageFilter< TInputImage, TOutputImage >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ParallelSparseFieldLevelSetImageFilter, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::SpatialFunctionImageEvaluatorFilter< TSpatialFunction, TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TobogganImageFilter< TInputImage >, itk::TriangleMeshToBinaryImageFilter, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryIterativeHoleFillingImageFilter< TImage >, itk::VTKImageImport< TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarPixelsFunctor< TInputImage::ValueType >, TMaskImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarVectorsFunctor< TInputImage::ValueType >, TMaskImage >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long > >, and itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long > >.

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::GenerateInputRequestedRegion  )  [virtual]
 

It is difficult to compute in advance the input image region required to compute the requested output region. Thus the safest thing to do is to request for the whole input image.

For the deformation field, the input requested region set to be the same as that of the output requested region.

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

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::GenerateOutputInformation  )  [virtual]
 

WarpVectorImageFilter produces an image which is a different size than its input image. As such, it needs to provide an implemenation for GenerateOutputInformation() which set the output information according the OutputSpacing, OutputOrigin and the deformation field's LargestPossibleRegion.

Reimplemented from itk::ProcessObject.

virtual void itk::ProcessObject::GenerateOutputRequestedRegion DataObject output  )  [protected, virtual, inherited]
 

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.

Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.

Reimplemented in itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, and itk::watershed::SegmentTreeGenerator< ScalarType >.

virtual const bool& itk::ProcessObject::GetAbortGenerateData  )  [virtual, inherited]
 

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Command* itk::Object::GetCommand unsigned long  tag  )  [inherited]
 

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

bool itk::Object::GetDebug  )  const [inherited]
 

Get the value of the debug flag.

template<class TInputImage, class TOutputImage, class TDeformationField>
DeformationFieldType* itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::GetDeformationField void   ) 
 

Get a pointer the deformation field.

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual PixelType itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::GetEdgePaddingValue  )  [virtual]
 

Get the edge padding value

static bool itk::Object::GetGlobalWarningDisplay  )  [static, inherited]
 

const DataObject* itk::ProcessObject::GetInput unsigned int  idx  )  const [protected, inherited]
 

const InputImageType* itk::ImageToImageFilter< TInputImage , TOutputImage >::GetInput unsigned int  idx  )  [inherited]
 

Reimplemented from itk::ProcessObject.

const InputImageType* itk::ImageToImageFilter< TInputImage , TOutputImage >::GetInput void   )  [inherited]
 

DataObjectPointerArray& itk::ProcessObject::GetInputs  )  [inline, inherited]
 

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.

Definition at line 108 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual InterpolatorType* itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::GetInterpolator  )  [virtual]
 

Get a pointer to the interpolator function.

const MetaDataDictionary& itk::Object::GetMetaDataDictionary void   )  const [inherited]
 

Returns:
A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary void   )  [inherited]
 

Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.

virtual unsigned long itk::Object::GetMTime  )  const [virtual, inherited]
 

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::SceneSpatialObject< SpaceDimension >, and itk::SceneSpatialObject< NDimensions >.

MultiThreader* itk::ProcessObject::GetMultiThreader  )  [inline, inherited]
 

Return the multithreader used by this class.

Definition at line 281 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual const char* itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::GetNameOfClass  )  const [virtual]
 

Run-time type information (and related methods)

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

std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfInputs  )  const [inline, inherited]
 

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.

Definition at line 115 of file itkProcessObject.h.

std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfOutputs  )  const [inline, inherited]
 

Definition at line 132 of file itkProcessObject.h.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs  )  [protected, virtual, inherited]
 

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs  )  [protected, virtual, inherited]
 

virtual const int& itk::ProcessObject::GetNumberOfThreads  )  [virtual, inherited]
 

virtual std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfValidRequiredInputs  )  const [virtual, inherited]
 

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.

Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

const DataObject* itk::ProcessObject::GetOutput unsigned int  idx  )  const [protected, inherited]
 

template<class TOutputImage>
OutputImageType* itk::ImageSource< TOutputImage >::GetOutput unsigned int  idx  )  [inherited]
 

Reimplemented from itk::ProcessObject.

template<class TOutputImage>
Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have and both* methods update the data Here are three ways to use* itk::ImageSource< TOutputImage >::GetOutput void   )  [inherited]
 

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual const PointType& itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::GetOutputOrigin  )  [virtual]
 

Get the output image origin.

Return an array with all the outputs of this process object* This is useful for tracing forward in the pipeline to contruct* graphs etc* DataObjectPointerArray& itk::ProcessObject::GetOutputs  )  [inline, inherited]
 

Definition at line 130 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual const SpacingType& itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::GetOutputSpacing  )  [virtual]
 

Get the output image spacing.

virtual const float& itk::ProcessObject::GetProgress  )  [virtual, inherited]
 

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

virtual int itk::LightObject::GetReferenceCount  )  const [inline, virtual, inherited]
 

Gets the reference count on this object.

Definition at line 98 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag  )  [virtual, inherited]
 

virtual bool itk::ProcessObject::GetReleaseDataFlag  )  const [virtual, inherited]
 

static void itk::Object::GlobalWarningDisplayOff  )  [inline, static, inherited]
 

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn  )  [inline, static, inherited]
 

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GraftNthOutput unsigned int  idx,
DataObject output
[virtual, inherited]
 

Graft the specified data object onto this ProcessObject's idx'th output. This is the similar to GraftOutput method except is allows you specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfOutputs()). See the GraftOutput for general usage information.

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GraftOutput DataObject output  )  [virtual, inherited]
 

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

    // setup the mini-pipeline to process the input to this filter
    firstFilterInMiniPipeline->SetInput( this->GetInput() );

    // setup the mini-pipeline to calculate the correct regions
    // and write to the appropriate bulk data block
    lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );

    // execute the mini-pipeline
    lastFilterInMiniPipeline->Update();

    // graft the mini-pipeline output back onto this filter's output.
    // this is needed to get the appropriate regions passed back.
    this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );

For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

bool itk::Object::HasObserver const EventObject event  )  const [inherited]
 

Return true if an observer is registered for this event.

template<class TOutputImage>
Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have and both* methods update the data Here are three ways to use* a image is a pointer to some Image and the* particular ProcessObjects involved are filters The same* examples apply to non itk::ImageSource< TOutputImage >::image e.g.  Mesh  )  [inherited]
 

itk::ImageToImageFilter< TInputImage , TOutputImage >::ImageToImageFilter  )  [protected, inherited]
 

void itk::Object::InvokeEvent const EventObject  )  const [inherited]
 

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

void itk::Object::InvokeEvent const EventObject  )  [inherited]
 

Call Execute on all the Commands observing this event id.

itk::ImageToImageFilter< TInputImage , TOutputImage >::itkStaticConstMacro OutputImageDimension  ,
unsigned  int,
TOutputImage ::ImageDimension 
[inherited]
 

Reimplemented in itk::BinaryPruningImageFilter< TInputImage, TOutputImage >, itk::BinaryThinningImageFilter< TInputImage, TOutputImage >, itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage, TBinaryPriorImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ConstantPadImageFilter< TInputImage, TOutputImage >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::FastIncrementalBinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFunctionDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleFunctionErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::MeanImageFilter< TInputImage, TOutputImage >, itk::MedianImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NoiseImageFilter< TInputImage, TOutputImage >, itk::NonThreadedShrinkImageFilter< TInputImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueDifference< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AND< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Minimum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Div< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Sub2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Maximum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Mult< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueAddition< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Atan2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AbsoluteValueDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::OR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskNegatedInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::WeightedAdd2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Add2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::SquaredDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Modulus2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DCovariantVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::XOR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::ComposeRGB< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DCovariantVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Modulus3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::ModulusSquare3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, and itk::InPlaceImageFilter< TInputImage, TOutputImage >.

ImageDimension constants* itk::ImageToImageFilter< TInputImage , TOutputImage >::itkStaticConstMacro InputImageDimension  ,
unsigned  int,
TInputImage ::ImageDimension 
[inherited]
 

Reimplemented in itk::BinaryPruningImageFilter< TInputImage, TOutputImage >, itk::BinaryThinningImageFilter< TInputImage, TOutputImage >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::LabelVotingImageFilter< TInputImage, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage, TBinaryPriorImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, TFunctor, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::FastIncrementalBinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFunctionDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleFunctionErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::MeanImageFilter< TInputImage, TOutputImage >, itk::MedianImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >, itk::NoiseImageFilter< TInputImage, TOutputImage >, itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarPixelsFunctor< TInputImage::ValueType >, TMaskImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarVectorsFunctor< TInputImage::ValueType >, TMaskImage >, and itk::InPlaceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage, class TDeformationField>
itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::itkStaticConstMacro PixelDimension  ,
unsigned  int,
PixelType::Dimension 
 

Dimension of the Vector pixel type.

template<class TInputImage, class TOutputImage, class TDeformationField>
itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::itkStaticConstMacro ImageDimension  ,
unsigned  int,
TOutputImage::ImageDimension 
 

Determine the image dimension.

template<class TOutputImage>
virtual DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput unsigned int  idx  )  [virtual, inherited]
 

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

Reimplemented in itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::MinimumMaximumImageFilter< TInputImage >, and itk::StatisticsImageFilter< TInputImage >.

virtual void itk::Object::Modified  )  const [virtual, inherited]
 

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Referenced by itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TInputImage, class TOutputImage, class TDeformationField>
static Pointer itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::New  )  [static]
 

Method for creation through the object factory.

Reimplemented from itk::Object.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PopBackInput  )  [virtual, inherited]
 

Reimplemented from itk::ProcessObject.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PopFrontInput  )  [virtual, inherited]
 

Reimplemented from itk::ProcessObject.

virtual void itk::ProcessObject::PrepareOutputs  )  [virtual, inherited]
 

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.

Reimplemented in itk::WatershedImageFilter< TInputImage >.

void itk::LightObject::Print std::ostream &  os,
Indent  indent = 0
const [inherited]
 

Cause the object to print itself out.

bool itk::Object::PrintObservers std::ostream &  os,
Indent  indent
const [protected, inherited]
 

template<class TInputImage, class TOutputImage, class TDeformationField>
void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::PrintSelf std::ostream &  os,
Indent  indent
const [protected, virtual]
 

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

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

virtual void itk::LightObject::PrintTrailer std::ostream &  os,
Indent  indent
const [protected, virtual, inherited]
 

virtual void itk::ProcessObject::PropagateRequestedRegion DataObject output  )  [virtual, inherited]
 

Send the requested region information back up the pipeline (to the filters that preceed this one).

Reimplemented in itk::VTKImageImport< TOutputImage >.

virtual void itk::ProcessObject::PropagateResetPipeline  )  [protected, virtual, inherited]
 

Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

* * these methods end of hiding the versions from the superclass* ProcessObject whose arguments are DataObjects we re expose* the versions from ProcessObject to avoid warnings about hiding* methods from the superclass* void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushBackInput const DataObject input  )  [inline, protected, virtual, inherited]
 

Reimplemented from itk::ProcessObject.

Definition at line 250 of file itkImageToImageFilter.h.

* itk::ImageToImageFilter< TInputImage , TOutputImage >::PushBackInput  )  [protected, inherited]
 

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on the application can accomplish this by popping* an input off the front of the input list and push a new image* onto the back of input list this only makes sense for* filters that single type of input* * Other uses are also possible For a single input pushing* and popping inputs allow the application to temporarily replace* an input to a filter** virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushBackInput const InputImageType image  )  [virtual, inherited]
 

* itk::ImageToImageFilter< TInputImage , TOutputImage >::PushFronInput  )  [protected, inherited]
 

void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushFrontInput const DataObject input  )  [inline, protected, virtual, inherited]
 

Reimplemented from itk::ProcessObject.

Definition at line 252 of file itkImageToImageFilter.h.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushFrontInput const InputImageType image  )  [virtual, inherited]
 

virtual void itk::Object::Register  )  const [virtual, inherited]
 

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff  )  [virtual, inherited]
 

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn  )  [virtual, inherited]
 

void itk::ProcessObject::ReleaseDataFlagOff  )  [inline, inherited]
 

Definition at line 254 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn  )  [inline, inherited]
 

Definition at line 253 of file itkProcessObject.h.

virtual void itk::ProcessObject::ReleaseInputs  )  [protected, virtual, inherited]
 

A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten.

See also:
InPlaceImageFilter::ReleaseInputs()

Reimplemented in itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, and itk::InPlaceImageFilter< TImage, TImage >.

void itk::Object::RemoveAllObservers  )  [inherited]
 

Remove all observers .

virtual void itk::ProcessObject::RemoveInput DataObject input  )  [protected, virtual, inherited]
 

void itk::Object::RemoveObserver unsigned long  tag  )  [inherited]
 

Remove the observer with this tag value.

virtual void itk::ProcessObject::RemoveOutput DataObject output  )  [protected, virtual, inherited]
 

virtual void itk::ProcessObject::ResetPipeline  )  [virtual, inherited]
 

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

virtual void itk::ProcessObject::RestoreInputReleaseDataFlags  )  [protected, virtual, inherited]
 

Restore the cached input ReleaseDataFlags.

virtual void itk::ProcessObject::SetAbortGenerateData bool  _arg  )  [virtual, inherited]
 

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

void itk::Object::SetDebug bool  debugFlag  )  const [inherited]
 

Set the value of the debug flag. A non-zero value turns debugging on.

template<class TInputImage, class TOutputImage, class TDeformationField>
void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::SetDeformationField DeformationFieldType field  ) 
 

Set the deformation field.

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::SetEdgePaddingValue PixelType  _arg  )  [virtual]
 

Set the edge padding value

This is a global flag that controls whether any warning* or error messages are displayed* static void itk::Object::SetGlobalWarningDisplay bool  flag  )  [static, inherited]
 

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::SetInput unsigned  int,
const TInputImage *  image
[virtual, inherited]
 

Set Get the image input of this process object* virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::SetInput const InputImageType image  )  [virtual, inherited]
 

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::SetInterpolator InterpolatorType _arg  )  [virtual]
 

Set the interpolator function.

void itk::Object::SetMetaDataDictionary const MetaDataDictionary rhs  )  [inherited]
 

Returns:
Set the MetaDataDictionary

Protected methods for setting inputs* Subclasses make use of them for setting input* virtual void itk::ProcessObject::SetNthInput unsigned int  num,
DataObject input
[protected, virtual, inherited]
 

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetEquivalencyTable(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputSegmentTree(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetReferenceImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetReferenceImage(), and itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage().

Protected methods for setting outputs* Subclasses make use of them for getting output* virtual void itk::ProcessObject::SetNthOutput unsigned int  num,
DataObject output
[protected, virtual, inherited]
 

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::EquivalenceRelabeler(), itk::watershed::Segmenter< TInputImage >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), and itk::watershed::Segmenter< TInputImage >::SetSegmentTable().

void itk::ProcessObject::SetNumberOfInputs unsigned int  num  )  [protected, inherited]
 

Called to allocate the input array. Copies old inputs.

void itk::ProcessObject::SetNumberOfOutputs unsigned int  num  )  [protected, inherited]
 

Called to allocate the output array. Copies old outputs.

virtual void itk::ProcessObject::SetNumberOfRequiredInputs unsigned int  _arg  )  [protected, virtual, inherited]
 

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs unsigned int  _arg  )  [protected, virtual, inherited]
 

Get Set the number of threads to create when executing* virtual void itk::ProcessObject::SetNumberOfThreads int  _arg  )  [virtual, inherited]
 

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::SetOutputOrigin const double *  values  )  [virtual]
 

template<class TInputImage, class TOutputImage, class TDeformationField>
Set the output image origin* virtual void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::SetOutputOrigin PointType  _arg  )  [virtual]
 

template<class TInputImage, class TOutputImage, class TDeformationField>
virtual void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::SetOutputSpacing const double *  values  )  [virtual]
 

template<class TInputImage, class TOutputImage, class TDeformationField>
Set the output image spacing* virtual void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::SetOutputSpacing SpacingType  _arg  )  [virtual]
 

virtual void itk::ProcessObject::SetProgress float  _arg  )  [virtual, inherited]
 

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

virtual void itk::Object::SetReferenceCount int   )  [virtual, inherited]
 

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

Turn on off the flags to control whether the bulk data belonging* to the outputs of this ProcessObject are released after being* used by a downstream ProcessObject Default value is off Another* options for controlling memory utilization is the* ReleaseDataBeforeUpdateFlag* virtual void itk::ProcessObject::SetReleaseDataFlag bool  flag  )  [virtual, inherited]
 

template<class TOutputImage>
virtual int itk::ImageSource< TOutputImage >::SplitRequestedRegion int  i,
int  num,
OutputImageRegionType splitRegion
[protected, virtual, inherited]
 

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".

template<class TInputImage, class TOutputImage, class TDeformationField>
void itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::ThreadedGenerateData const OutputImageRegionType outputRegionForThread,
int  threadId
[protected, virtual]
 

WarpVectorImageFilter is implemented as a multi-threaded filter. As such, it needs to provide and implementation for ThreadedGenerateData().

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TOutputImage>
static ITK_THREAD_RETURN_TYPE itk::ImageSource< TOutputImage >::ThreaderCallback void *  arg  )  [static, protected, inherited]
 

Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

virtual void itk::Object::UnRegister  )  const [virtual, inherited]
 

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

template<class TOutputImage>
* endcode* In the above the two lines of code can be in* either order* * Note that it may be more efficient to* use a pipeline than to call itk::ImageSource< TOutputImage >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>
* endcode* In the above the two lines of code can be in* either order* * Note that itk::ImageSource< TOutputImage >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>
* endcode* * code* someFilter itk::ImageSource< TOutputImage >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>
* image itk::ImageSource< TOutputImage >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>
* anotherFilter itk::ImageSource< TOutputImage >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>
Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have itk::ImageSource< TOutputImage >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>
Get the output data of this process object The output of this* function is not valid until an appropriate itk::ImageSource< TOutputImage >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::UpdateLargestPossibleRegion  )  [virtual, inherited]
 

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

virtual void itk::ProcessObject::UpdateOutputData DataObject output  )  [virtual, inherited]
 

Actually generate new output

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::UpdateOutputInformation  )  [virtual, inherited]
 

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented in itk::watershed::Segmenter< TInputImage >, and itk::VTKImageImport< TOutputImage >.

void itk::ProcessObject::UpdateProgress float  amount  )  [inherited]
 

Update the progress of the process object.

Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.


Member Data Documentation

Allow people to add remove invoke observers (callbacks) to any ITK * object. This is an implementation of the subject/observer design * pattern. An observer is added by specifying an event to respond to * and an itk unsigned lon itk::Object::AddObserver)(const EventObject &event, Command *) const [inherited]
 

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on the application can accomplish this by popping* an input off the front of the input list and push a new image* onto the back of input list itk::ImageToImageFilter< TInputImage , TOutputImage >::Again [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

This is a global flag that controls whether any itk::Object::debug [inherited]
 

Definition at line 94 of file itkObject.h.

template<class TOutputImage>
* endcode* In the above itk::ImageSource< TOutputImage >::example [inherited]
 

Reimplemented in itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, and itk::VotingBinaryIterativeHoleFillingImageFilter< TImage >.

Definition at line 100 of file itkImageSource.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on the application can accomplish this by popping* an input off the front of the input list and push a new image* onto the back of input list this only makes sense for* filters that single type of input* * Other uses are also possible For a single input itk::ImageToImageFilter< TInputImage , TOutputImage >::filter [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all itk::ImageToImageFilter< TInputImage , TOutputImage >::filters [inherited]
 

Reimplemented from itk::ProcessObject.

Definition at line 103 of file itkImageToImageFilter.h.

* * these methods end of hiding the versions from the superclass* ProcessObject whose arguments are DataObjects itk::ImageToImageFilter< TInputImage , TOutputImage >::Here [protected, inherited]
 

Definition at line 246 of file itkImageToImageFilter.h.

template<class TOutputImage>
* itk::ImageSource< TOutputImage >::image = someFilter->GetOutput() [inherited]
 

Reimplemented in itk::ExtractImageFilter< TInputImage, TOutputImage >.

Definition at line 98 of file itkImageSource.h.

template<class TOutputImage>
* endcode* * In this a someFilter and a anotherFilter are said* to constitute a b pipeline* * code* itk::ImageSource< TOutputImage >::image = someFilter->GetOutput() [inherited]
 

Reimplemented in itk::ExtractImageFilter< TInputImage, TOutputImage >.

Definition at line 92 of file itkImageSource.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on* itk::ImageToImageFilter< TInputImage , TOutputImage >::images [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on itk::ImageToImageFilter< TInputImage , TOutputImage >::images [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on itk::ImageToImageFilter< TInputImage , TOutputImage >::images [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For itk::ImageToImageFilter< TInputImage , TOutputImage >::instance [inherited]
 

Reimplemented in itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >.

Definition at line 103 of file itkImageToImageFilter.h.

TimeStamp itk::ProcessObject::m_OutputInformationMTime [protected, inherited]
 

Time when GenerateOutputInformation was last called.

Definition at line 428 of file itkProcessObject.h.

int itk::LightObject::m_ReferenceCount [mutable, protected, inherited]
 

Number of uses of this object by other objects.

Definition at line 119 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]
 

Mutex lock to protect modification to the reference count

Definition at line 122 of file itkLightObject.h.

bool itk::ProcessObject::m_Updating [protected, inherited]
 

This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.

Definition at line 425 of file itkProcessObject.h.

template<class TOutputImage>
Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have and both* methods update the data Here are three ways to use* a image is a pointer to some Image itk::ImageSource< TOutputImage >::object [inherited]
 

Definition at line 79 of file itkImageSource.h.

Methods invoked by virtual Print () to print information about the object * including superclasses. Typically not called by the user (use Print() * instead) but used in the hierarchical print process to combine the * output of several classes. */ virtual void PrintSelf(std voi itk::LightObject::PrintHeader)(std::ostream &os, Indent indent) const [protected, inherited]
 

template<class TOutputImage>
* endcode* In the above the two lines of code can be in* either order* * Note that it may be more efficient to* use a pipeline than to call the data generated is for the requested* itk::ImageSource< TOutputImage >::Region [inherited]
 

Definition at line 110 of file itkImageSource.h.

template<class TOutputImage>
* endcode* * In this itk::ImageSource< TOutputImage >::situation [inherited]
 

Definition at line 88 of file itkImageSource.h.


The documentation for this class was generated from the following file:
Generated at Sun Jul 9 21:57:59 2006 for ITK by doxygen 1.4.2 written by Dimitri van Heesch, © 1997-2000