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itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage > Class Template Reference
[Filters that can potentialy be modified to be ThreadedIntensity Image Filters]

#include <itkEigenAnalysis2DImageFilter.h>

Inheritance diagram for itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >:

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Collaboration diagram for itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >:

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List of all members.

Detailed Description

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
class itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >

Computes pixel-wise the eigen values and eigen vectors of a 2D symmetrical matrix.

The filter expects three inputs images { A, B, C } representing the component of the matrix

| A B | | B c |

The eigen values are stored in two output images, and the eigen vector associated with the maximum eigenvalue is stored in an image using vector as pixel type.

Definition at line 43 of file itkEigenAnalysis2DImageFilter.h.

Public Types

typedef SmartPointer< const
Self
ConstPointer
typedef DataObject::Pointer DataObjectPointer
typedef std::vector< DataObjectPointerDataObjectPointerArray
typedef DataObjectPointerArray::size_type DataObjectPointerArraySizeType
typedef EigenValueImageType::PixelType EigenValueImagePixelType
typedef EigenValueImageType::Pointer EigenValueImagePointer
typedef EigenValueImageType::RegionType EigenValueImageRegionType
typedef TEigenValueImage EigenValueImageType
typedef EigenVectorImageType::PixelType EigenVectorImagePixelType
typedef EigenVectorImageType::Pointer EigenVectorImagePointer
typedef EigenVectorImageType::RegionType EigenVectorImageRegionType
typedef TEigenVectorImage EigenVectorImageType
typedef TEigenVectorImage::PixelType EigenVectorType
typedef InputImageType::ConstPointer InputImageConstPointer
typedef InputImageType::PixelType InputImagePixelType
typedef InputImageType::Pointer InputImagePointer
typedef InputImageType::RegionType InputImageRegionType
typedef TInputImage InputImageType
typedef OutputImageType::PixelType OutputImagePixelType
typedef OutputImageType::Pointer OutputImagePointer
typedef Superclass::OutputImageRegionType OutputImageRegionType
typedef TEigenValueImage OutputImageType
typedef SmartPointer< SelfPointer
typedef EigenAnalysis2DImageFilter Self
typedef ImageToImageFilter<
TInputImage, TEigenValueImage > 
Superclass
typedef EigenVectorType::ValueType VectorComponentType

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
virtual const bool & GetAbortGenerateData ()
CommandGetCommand (unsigned long tag)
bool GetDebug () const
const InputImageTypeGetInput (unsigned int idx)
const InputImageTypeGetInput (void)
DataObjectPointerArrayGetInputs ()
EigenValueImageTypeGetMaxEigenValue (void)
EigenVectorImageTypeGetMaxEigenVector (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
EigenValueImageTypeGetMinEigenValue (void)
virtual unsigned long GetMTime () const
MultiThreaderGetMultiThreader ()
virtual const char * GetNameOfClass () const
DataObjectPointerArraySizeType GetNumberOfInputs () const
virtual DataObjectPointerArraySizeType GetNumberOfValidRequiredInputs () const
OutputImageTypeGetOutput (unsigned int idx)
OutputImageTypeGetOutput (void)
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
virtual void GraftOutput (DataObject *output)
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
 itkStaticConstMacro (OutputImageDimension, unsigned int, TEigenValueImage::ImageDimension)
 itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension)
 itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension)
DataObject::Pointer 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)
virtual void PushBackInput (const InputImageType *image)
virtual void PushFrontInput (const InputImageType *image)
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void ResetPipeline ()
virtual void SetAbortGenerateData (bool _arg)
void SetDebug (bool debugFlag) const
virtual void SetInput (unsigned int, const TInputImage *image)
virtual void SetInput (const InputImageType *image)
void SetInput1 (TInputImage *image1)
void SetInput2 (TInputImage *image2)
void SetInput3 (TInputImage *image3)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
virtual void UnRegister () const
virtual void Update ()
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)
unsigned long AddObserver (const EventObject &event, Command *) const
unsigned long AddObserver (const EventObject &event, Command *)
DataObjectPointerArraySizeType GetNumberOfOutputs () const
DataObjectPointerArrayGetOutputs ()
virtual const int & GetNumberOfThreads ()
virtual void SetNumberOfThreads (int _arg)
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual void ReleaseDataBeforeUpdateFlagOff ()
virtual void ReleaseDataBeforeUpdateFlagOn ()
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual bool GetReleaseDataFlag () const
void ReleaseDataFlagOff ()
void ReleaseDataFlagOn ()
virtual void SetReleaseDataFlag (bool flag)

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static void SetGlobalWarningDisplay (bool flag)

Protected Types

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

Protected Member Functions

virtual void AfterThreadedGenerateData ()
virtual void AllocateOutputs ()
virtual void BeforeThreadedGenerateData ()
virtual void CacheInputReleaseDataFlags ()
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 EigenAnalysis2DImageFilter ()
void GenerateData (void)
virtual void GenerateInputRequestedRegion ()
virtual void GenerateOutputInformation ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void PrintSelf (std::ostream &os, Indent indent) const
virtual void PropagateResetPipeline ()
void PushBackInput (const DataObject *input)
void PushFrontInput (const DataObject *input)
virtual void ReleaseInputs ()
virtual void RestoreInputReleaseDataFlags ()
void SetNumberOfInputs (unsigned int num)
void SetNumberOfOutputs (unsigned int num)
virtual int SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId) ITK_NO_RETURN
virtual ~EigenAnalysis2DImageFilter ()
virtual void AddInput (DataObject *input)
virtual const unsigned int & GetNumberOfRequiredInputs ()
virtual void RemoveInput (DataObject *input)
virtual void SetNthInput (unsigned int num, DataObject *input)
virtual void SetNumberOfRequiredInputs (unsigned int _arg)
virtual void AddOutput (DataObject *output)
virtual const unsigned int & GetNumberOfRequiredOutputs ()
virtual void RemoveOutput (DataObject *output)
virtual void SetNthOutput (unsigned int num, DataObject *output)
virtual void SetNumberOfRequiredOutputs (unsigned int _arg)
const DataObjectGetInput (unsigned int idx) const
const DataObjectGetOutput (unsigned int idx) const
virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Static Protected Member Functions

static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)

Protected Attributes

TimeStamp m_OutputInformationMTime
volatile int m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_Updating


Member Typedef Documentation

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef SmartPointer<const Self> itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::ConstPointer

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

Definition at line 51 of file itkEigenAnalysis2DImageFilter.h.

typedef DataObject::Pointer itk::ImageSource< TEigenValueImage >::DataObjectPointer [inherited]

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

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.

typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType [inherited]

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef EigenValueImageType::PixelType itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::EigenValueImagePixelType

Definition at line 67 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef EigenValueImageType::Pointer itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::EigenValueImagePointer

Definition at line 65 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef EigenValueImageType::RegionType itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::EigenValueImageRegionType

Definition at line 66 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef TEigenValueImage itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::EigenValueImageType

Some convenient typedefs.

Definition at line 64 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef EigenVectorImageType::PixelType itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::EigenVectorImagePixelType

Definition at line 71 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef EigenVectorImageType::Pointer itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::EigenVectorImagePointer

Definition at line 69 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef EigenVectorImageType::RegionType itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::EigenVectorImageRegionType

Definition at line 70 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef TEigenVectorImage itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::EigenVectorImageType

Definition at line 68 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef TEigenVectorImage::PixelType itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::EigenVectorType

Typedef for the vector type representing the eigen vectors

Definition at line 54 of file itkEigenAnalysis2DImageFilter.h.

typedef InputImageType::ConstPointer itk::ImageToImageFilter< TInputImage , TEigenValueImage >::InputImageConstPointer [inherited]

Definition at line 83 of file itkImageToImageFilter.h.

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

Definition at line 85 of file itkImageToImageFilter.h.

typedef InputImageType::Pointer itk::ImageToImageFilter< TInputImage , TEigenValueImage >::InputImagePointer [inherited]

Definition at line 82 of file itkImageToImageFilter.h.

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

Definition at line 84 of file itkImageToImageFilter.h.

typedef TInputImage itk::ImageToImageFilter< TInputImage , TEigenValueImage >::InputImageType [inherited]

Some convenient typedefs.

Definition at line 81 of file itkImageToImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> itk::ImageToImageFilter< TInputImage , TEigenValueImage >::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.

typedef OutputImageType::PixelType itk::ImageSource< TEigenValueImage >::OutputImagePixelType [inherited]

Definition at line 71 of file itkImageSource.h.

typedef OutputImageType::Pointer itk::ImageSource< TEigenValueImage >::OutputImagePointer [inherited]

Definition at line 69 of file itkImageSource.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef Superclass::OutputImageRegionType itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::OutputImageRegionType

Superclass typedefs.

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

Definition at line 61 of file itkEigenAnalysis2DImageFilter.h.

typedef TEigenValueImage itk::ImageSource< TEigenValueImage >::OutputImageType [inherited]

Some convenient typedefs.

Definition at line 65 of file itkImageSource.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> itk::ImageToImageFilter< TInputImage , TEigenValueImage >::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 TEigenValueImage, class TEigenVectorImage>
typedef SmartPointer<Self> itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::Pointer

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

Definition at line 50 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef EigenAnalysis2DImageFilter itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::Self

Standard class typedefs.

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

Definition at line 48 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef ImageToImageFilter<TInputImage,TEigenValueImage> itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::Superclass

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

Definition at line 49 of file itkEigenAnalysis2DImageFilter.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
typedef EigenVectorType::ValueType itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::VectorComponentType

Definition at line 58 of file itkEigenAnalysis2DImageFilter.h.


Constructor & Destructor Documentation

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::EigenAnalysis2DImageFilter (  )  [protected]

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
virtual itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::~EigenAnalysis2DImageFilter (  )  [inline, protected, virtual]

Definition at line 114 of file itkEigenAnalysis2DImageFilter.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]

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) const [inherited]

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) [inherited]

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::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

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

virtual void itk::ImageSource< TEigenValueImage >::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.

Definition at line 254 of file itkImageSource.h.

virtual void itk::ImageSource< TEigenValueImage >::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.

virtual void itk::ImageSource< TEigenValueImage >::BeforeThreadedGenerateData ( void   )  [inline, protected, virtual, inherited]

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). 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.

Definition at line 242 of file itkImageSource.h.

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 , TEigenValueImage >::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 , TEigenValueImage >::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).

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::FFTRealToComplexConjugateImageFilter< TPixel, Dimension >, 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::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ShrinkImageFilter< 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 >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.

Definition at line 225 of file itkProcessObject.h.

template<class TInputImage, class TEigenValueImage, class TEigenVectorImage>
void itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::GenerateData ( void   )  [protected, virtual]

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::ImageSource< TEigenValueImage >.

virtual void itk::ImageToImageFilter< TInputImage , TEigenValueImage >::GenerateInputRequestedRegion (  )  [protected, virtual, inherited]

What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierachy. Up till now, the base assumption has been that the largest possible region will be requested of the input.

This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.

See also:
ProcessObject::GenerateInputRequestedRegion(), ImageSource::GenerateInputRequestedRegion()

Reimplemented from itk::ProcessObject.

virtual void itk::ProcessObject::GenerateOutputInformation (  )  [protected, virtual, inherited]

Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented in itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, Dimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, Dimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::VoronoiDiagram2DGenerator< TCoordType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryMaskToNarrowBandPointSetFilter< TInputImage, TOutputMesh >, itk::ChangeInformationImageFilter< TInputImage >, itk::CropImageFilter< TInputImage, TOutputImage >,