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itk::HistogramToEntropyImageFilter< THistogram > Class Template Reference

#include <itkHistogramToEntropyImageFilter.h>

Inheritance diagram for itk::HistogramToEntropyImageFilter< THistogram >:

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Collaboration diagram for itk::HistogramToEntropyImageFilter< THistogram >:

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List of all members.

Detailed Description

template<class THistogram>
class itk::HistogramToEntropyImageFilter< THistogram >

The class takes a histogram as an input and gives the entropy image as the output. A pixel, at position I, in the output image is given by.

\[ f(I) = -p \log_2 p \]

where

\[ p = \frac{q_I}{\sum_{i \in I} q_I} \]

where $q_I$ is the frequency of measurement vector, I.

$p$ is the frequency of a measurement vector by the sum of all frequencies = Probability of the the measurement vector

The output image is of type double.

This is useful in plotting the joint histograms during registration.

See also:
HistogramToImageFilter, HistogramToLogProbabilityImageFilter, HistogramToIntensityImageFilter, HistogramToProbabilityImageFilter

Definition at line 101 of file itkHistogramToEntropyImageFilter.h.

Public Types

typedef SmartPointer< const
Self
ConstPointer
typedef DataObject::Pointer DataObjectPointer
typedef std::vector< DataObjectPointerDataObjectPointerArray
typedef Function::HistogramEntropyFunction<
unsigned long > 
FunctorType
typedef HistogramType::SizeType HistogramSizeType
typedef THistogram HistogramType
typedef itk::ImageRegionIteratorWithIndex<
Image< OutputPixelType,
::itk::Statistics::GetHistogramDimension<
THistogram >::HistogramDimension > > 
ImageIteratorType
typedef SimpleDataObjectDecorator<
HistogramType * > 
InputHistogramObjectType
typedef HistogramType::MeasurementVectorType MeasurementVectorType
typedef OutputImageType::PixelType OutputImagePixelType
typedef Superclass::Pointer OutputImagePointer
typedef Superclass::OutputImageRegionType OutputImageRegionType
typedef Image< OutputPixelType,
::itk::Statistics::GetHistogramDimension<
THistogram >::HistogramDimension > 
OutputImageType
typedef FunctorType::OutputPixelType OutputPixelType
typedef SmartPointer< SelfPointer
typedef OutputImageType::PointType PointType
typedef HistogramToEntropyImageFilter Self
typedef HistogramType::SizeType SizeType
typedef OutputImageType::SpacingType SpacingType
typedef ImageSource< Image<
OutputPixelType,::itk::Statistics::GetHistogramDimension<
THistogram >::HistogramDimension > > 
Superclass

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 FunctorTypeGetFunctor () const
Get the functor object The
functor is returned by reference
*Functors do not have to derive
from so they do *not necessarily
have a reference count So
we cannot return a *SmartPointer
*FunctorType
GetFunctor ()
const InputHistogramObjectTypeGetInput (void)
DataObjectPointerArrayGetInputs ()
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
virtual const PointTypeGetOrigin ()
Set the origin of the image
*sa 
GetOrigin ()*/virtual void SetOrigin(PointType _arg)
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
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 float & GetProgress ()
virtual int GetReferenceCount () const
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual bool GetReleaseDataFlag () const
virtual HistogramSizeType GetSize ()
virtual const SpacingTypeGetSpacing ()
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 (ImageDimension, unsigned int,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension)
virtual DataObjectPointer MakeOutput (unsigned int idx)
virtual void Modified () const
virtual void PrepareOutputs ()
void Print (std::ostream &os, Indent indent=0) const
virtual void PropagateRequestedRegion (DataObject *output)
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 SetFunctor (const FunctorType &functor)
virtual void SetInput (const InputHistogramObjectType *inputObject)
Set Get the input of this
process object *virtual void 
SetInput (const HistogramType *histogram)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
Get Set the number of threads
to create when executing
*virtual void 
SetNumberOfThreads (int _arg)
virtual void SetOrigin (const double *values)
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 SetSpacing (const double *values)
void SetTotalFrequency (unsigned long n)
Set the spacing (size of a pixel) of the image.*\sa GetSpacing()*/virtual void SetSpacing(SpacingType _arg)
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
This is a global flag that
controls whether any 
debug
*endcode *In the above example
image
*endcode **In this a someFilter
and a anotherFilter are said
*to constitute a b pipeline
**code
image
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 Member Functions

virtual void AddInput (DataObject *input)
virtual void AddOutput (DataObject *output)
virtual void AfterThreadedGenerateData ()
virtual void AllocateOutputs ()
virtual void BeforeThreadedGenerateData ()
virtual void CacheInputReleaseDataFlags ()
virtual void GenerateData ()
virtual void GenerateInputRequestedRegion ()
virtual void GenerateOutputInformation ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
const DataObjectGetInput (unsigned int idx) const
Method used internally for
getting an input *DataObject
GetInput (unsigned int idx)
virtual const unsigned int & GetNumberOfRequiredInputs ()
virtual const unsigned int & GetNumberOfRequiredOutputs ()
const DataObjectGetOutput (unsigned int idx) const
 HistogramToEntropyImageFilter ()
 HistogramToImageFilter ()
 ImageSource ()
virtual void PopBackInput ()
virtual void PopFrontInput ()
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void PrintSelf (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
virtual void PropagateResetPipeline ()
Push Pop an 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
*virtual void 
PushBackInput (const DataObject *input)
virtual 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)
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
virtual ~HistogramToEntropyImageFilter ()

Static Protected Member Functions

static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)

Protected Attributes

Push Pop an 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
FunctorType m_Functor
PointType m_Origin
TimeStamp m_OutputInformationMTime
int m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
SizeType m_Size
SpacingType m_Spacing
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 THistogram>
typedef SmartPointer<const Self> itk::HistogramToEntropyImageFilter< THistogram >::ConstPointer
 

Reimplemented from itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long > >.

Definition at line 110 of file itkHistogramToEntropyImageFilter.h.

typedef DataObject::Pointer itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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 Function::HistogramEntropyFunction< unsigned long > itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::FunctorType [inherited]
 

Standard class typedefs.

Definition at line 58 of file itkHistogramToImageFilter.h.

typedef HistogramType::SizeType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::HistogramSizeType [inherited]
 

Definition at line 92 of file itkHistogramToImageFilter.h.

typedef THistogram itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::HistogramType [inherited]
 

Some convenient typedefs.

Definition at line 90 of file itkHistogramToImageFilter.h.

typedef itk::ImageRegionIteratorWithIndex< Image<OutputPixelType, ::itk::Statistics::GetHistogramDimension<THistogram >::HistogramDimension> > itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::ImageIteratorType [inherited]
 

Definition at line 78 of file itkHistogramToImageFilter.h.

typedef SimpleDataObjectDecorator< HistogramType* > itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::InputHistogramObjectType [inherited]
 

Since histograms are not dataobjects, we use the decorator to push them down the pipeline

Definition at line 97 of file itkHistogramToImageFilter.h.

typedef HistogramType::MeasurementVectorType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::MeasurementVectorType [inherited]
 

Definition at line 91 of file itkHistogramToImageFilter.h.

typedef OutputImageType::PixelType itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::OutputImagePixelType [inherited]
 

Definition at line 71 of file itkImageSource.h.

typedef Superclass::Pointer itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::OutputImagePointer [inherited]
 

Reimplemented from itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >.

Definition at line 70 of file itkHistogramToImageFilter.h.

typedef Superclass::OutputImageRegionType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::OutputImageRegionType [inherited]
 

Superclass typedefs.

Reimplemented from itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >.

Definition at line 84 of file itkHistogramToImageFilter.h.

typedef Image<OutputPixelType, ::itk::Statistics::GetHistogramDimension<THistogram >::HistogramDimension > itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::OutputImageType [inherited]
 

Some convenient typedefs.

Reimplemented from itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >.

Definition at line 69 of file itkHistogramToImageFilter.h.

typedef FunctorType::OutputPixelType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::OutputPixelType [inherited]
 

Definition at line 59 of file itkHistogramToImageFilter.h.

template<class THistogram>
typedef SmartPointer<Self> itk::HistogramToEntropyImageFilter< THistogram >::Pointer
 

Reimplemented from itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long > >.

Definition at line 109 of file itkHistogramToEntropyImageFilter.h.

typedef OutputImageType::PointType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::PointType [inherited]
 

Definition at line 72 of file itkHistogramToImageFilter.h.

template<class THistogram>
typedef HistogramToEntropyImageFilter itk::HistogramToEntropyImageFilter< THistogram >::Self
 

Standard class typedefs.

Reimplemented from itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long > >.

Definition at line 108 of file itkHistogramToEntropyImageFilter.h.

typedef HistogramType::SizeType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::SizeType [inherited]
 

Definition at line 93 of file itkHistogramToImageFilter.h.

typedef OutputImageType::SpacingType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::SpacingType [inherited]
 

Definition at line 71 of file itkHistogramToImageFilter.h.

typedef ImageSource< Image<OutputPixelType, ::itk::Statistics::GetHistogramDimension<THistogram >::HistogramDimension> > itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::Superclass [inherited]
 

Reimplemented from itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >.

Definition at line 63 of file itkHistogramToImageFilter.h.


Constructor & Destructor Documentation

template<class THistogram>
itk::HistogramToEntropyImageFilter< THistogram >::HistogramToEntropyImageFilter  )  [inline, protected]
 

Definition at line 116 of file itkHistogramToEntropyImageFilter.h.

template<class THistogram>
virtual itk::HistogramToEntropyImageFilter< THistogram >::~HistogramToEntropyImageFilter  )  [inline, protected, virtual]
 

Definition at line 117 of file itkHistogramToEntropyImageFilter.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]
 

virtual void itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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 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.

virtual void itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::GenerateData void   )  [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::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >.

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

What is the input requested region that is required to produce the output requested region? By default, the largest possible region is always required but this is overridden in many subclasses. For instance, for an image processing filter where an output pixel is a simple function of an input pixel, the input requested region will be set to the output requested region. For an image processing filter where an output pixel is a function of the pixels in a neighborhood of an input pixel, then the input requested region will need to be larger than the output requested region (to avoid introducing artificial boundary conditions). This function should never request an input region that is outside the the input largest possible region (i.e. implementations of this method should crop the input requested region at the boundaries of the input largest possible region).

Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, Dimension >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >, 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::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType >, itk::BilateralImageFilter< TInputImage, TOutputImage >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinomialBlurImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, 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::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DeformationFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::GradientMagnitudeImageFilter< TInputImage, TOutputImage >, 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::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::MeanImageFilter< TInputImage, TOutputImage >, itk::MedianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >, itk::NoiseImageFilter< TInputImage, TOutputImage >, itk::NonThreadedShrinkImageFilter< TInputImage, TOutputImage >, itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PermuteAxesImageFilter< TImage >, itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >, itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WrapPadImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::MeshSource< TOutputMesh >, itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >, itk::PathToPathFilter< TInputPath, TOutputPath >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::SegmentTreeGenerator< ScalarType >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< VoronoiDiagram2D< TCoordType > >, itk::PathAndImageToPathFilter< TFourierSeriesPath, TSwathMeritImage, OrthogonallyCorrected2DParametricPath >, itk::PathToPathFilter< TInputPath, TOutputChainCodePath >, itk::PathToPathFilter< TInputChainCodePath, TOutputFourierSeriesPath >, and itk::PathToPathFilter< TFourierSeriesPath, OrthogonallyCorrected2DParametricPath >.

virtual void itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::GenerateOutputInformation  )  [inline, 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 from itk::ProcessObject.

Definition at line 162 of file itkHistogramToImageFilter.h.

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.

const FunctorType& itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::GetFunctor  )  const [inline, inherited]
 

Definition at line 151 of file itkHistogramToImageFilter.h.

Get the functor object The functor is returned by reference* Functors do not have to derive from so they do* not necessarily have a reference count So we cannot return a* SmartPointer* FunctorType& itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::GetFunctor  )  [inline, inherited]
 

Definition at line 150 of file itkHistogramToImageFilter.h.

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

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

Method used internally for getting an input* DataObject* itk::ProcessObject::GetInput unsigned int  idx  )  [protected, inherited]
 

Reimplemented in itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, itk::TriangleMeshToBinaryImageFilter, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, itk::PathToPathFilter< TInputPath, TOutputPath >, itk::ImageFileWriter, itk::ImageSeriesWriter, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::PathToPathFilter< TInputPath, TOutputChainCodePath >, itk::PathToPathFilter< TInputChainCodePath, TOutputFourierSeriesPath >, and itk::PathToPathFilter< TFourierSeriesPath, OrthogonallyCorrected2DParametricPath >.

Referenced by itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetEquivalencyTable(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetInputEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::GetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetInputSegmentTree(), and itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::GetLabelInput().

const InputHistogramObjectType* itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::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.

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.

virtual const char* itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::GetNameOfClass  )  const [virtual, inherited]
 

Run-time type information (and related methods).

Reimplemented from itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >.

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 >.

virtual const PointType& itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::GetOrigin  )  [virtual, inherited]
 

Get the origin of the image.

Set the origin of the image* sa itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::GetOrigin  )  [inherited]
 

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

OutputImageType* itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::GetOutput unsigned int  idx  )  [inherited]
 

Reimplemented from itk::ProcessObject.

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< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::GetOutput void   )  [inherited]
 

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.

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]
 

virtual HistogramSizeType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::GetSize void   )  [virtual, inherited]
 

Get the size of the histogram.

virtual const SpacingType& itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::GetSpacing  )  [virtual, inherited]
 

Get the spacing (size of a pixel) of the image. For ImageBase and Image, the default data spacing is unity.

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().

virtual void itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

virtual void itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::HistogramToImageFilter  )  [protected, inherited]
 

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< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::image e.g.  Mesh  )  [inherited]
 

itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::ImageSource  )  [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::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::itkStaticConstMacro ImageDimension  ,
unsigned  int,
::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension 
[inherited]
 

Determine the image dimension.

virtual DataObjectPointer itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

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 THistogram>
static Pointer itk::HistogramToEntropyImageFilter< THistogram >::New  )  [static]
 

Method for creation through the object factory.

Reimplemented from itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long > >.

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

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

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

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

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]
 

virtual void itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::PrintSelf std::ostream &  os,
Indent  indent
const [protected, virtual, inherited]
 

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::ProcessObject.

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.

Push Pop an 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* virtual void itk::ProcessObject::PushBackInput const DataObject input  )  [protected, virtual, inherited]
 

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

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

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

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.

void itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::SetFunctor const FunctorType functor  )  [inline, inherited]
 

Set the functor object. This replaces the current Functor with a copy of the specified Functor. This allows the user to specify a functor that has ivars set differently than the default functor. This method requires an operator!=() be defined on the functor (or the compiler's default implementation of operator!=() being appropriate).

Definition at line 140 of file itkHistogramToImageFilter.h.

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::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::SetInput const InputHistogramObjectType inputObject  )  [virtual, inherited]
 

Set Get the input of this process object* virtual void itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::SetInput const HistogramType histogram  )  [virtual, inherited]
 

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]
 

virtual void itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::SetOrigin const double *  values  )  [virtual, inherited]
 

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]
 

virtual void itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::SetSpacing const double *  values  )  [virtual, inherited]
 

void itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::SetTotalFrequency unsigned long  n  )  [inherited]
 

Set the itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::spacing size of a  pixel  )  [inherited]
 

virtual int itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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".

virtual void itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::ThreadedGenerateData const OutputImageRegionType outputRegionForThread,
int  threadId
[protected, virtual, inherited]
 

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

See also:
GenerateData(), SplitRequestedRegion()

static ITK_THREAD_RETURN_TYPE itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

* 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< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

* endcode* In the above the two lines of code can be in* either order* * Note that itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

* endcode* * code* someFilter itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

* image itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

* anotherFilter itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

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< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

Get the output data of this process object The output of this* function is not valid until an appropriate itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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.

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]
 

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

Definition at line 94 of file itkObject.h.

* endcode* In the above itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::example [inherited]
 

Definition at line 100 of file itkImageSource.h.

Push Pop an 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::ProcessObject::filters [protected, inherited]
 

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

Definition at line 303 of file itkProcessObject.h.

* itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::image [inherited]
 

Definition at line 98 of file itkImageSource.h.

* endcode* * In this a someFilter and a anotherFilter are said* to constitute a b pipeline* * code* itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::image [inherited]
 

Definition at line 92 of file itkImageSource.h.

FunctorType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::m_Functor [protected, inherited]
 

Definition at line 165 of file itkHistogramToImageFilter.h.

PointType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::m_Origin [protected, inherited]
 

Definition at line 169 of file itkHistogramToImageFilter.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.

SizeType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::m_Size [protected, inherited]
 

Definition at line 167 of file itkHistogramToImageFilter.h.

SpacingType itk::HistogramToImageFilter< THistogram , Function::HistogramEntropyFunction< unsigned long > >::m_Spacing [protected, inherited]
 

Definition at line 168 of file itkHistogramToImageFilter.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.

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< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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]
 

* 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< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::Region [inherited]
 

Definition at line 110 of file itkImageSource.h.

* endcode* * In this itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >::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 20:05:06 2006 for ITK by doxygen 1.4.2 written by Dimitri van Heesch, © 1997-2000