#include <itkImageSource.h>

Inherits itk::ProcessObject, and itk::ImageSourceCommon.

Collaboration diagram for itk::ImageSource< TOutputImage >:

Detailed Description

template<typename TOutputImage>
class itk::ImageSource< TOutputImage >

Base class for all process objects that output image data.

ImageSource is the base class for all process objects that output image data. Specifically, this class defines the GetOutput() method that returns a pointer to the output image. The class also defines some internal private data members that are used to manage streaming of data.

Memory management in an ImageSource is slightly different than a standard ProcessObject. ProcessObject's always release the bulk data associated with their output prior to GenerateData() being called. ImageSources default to not releasing the bulk data incase that particular memory block is large enough to hold the new output values. This avoids unnecessary deallocation/allocation sequences. ImageSource's can be forced to use a memory management model similar to the default ProcessObject behaviour by calling ProcessObject::ReleaseDataBeforeUpdateFlagOn(). A user may want to set this flag to limit peak memory usage during a pipeline update.

Wiki Examples:

Definition at line 86 of file itkImageSource.h.

Classes
struct	ThreadStruct

Public Types
typedef SmartPointer< const Self >	ConstPointer

typedef Superclass::DataObjectIdentifierType	DataObjectIdentifierType

typedef DataObject::Pointer	DataObjectPointer

typedef Superclass::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType

typedef OutputImageType::PixelType	OutputImagePixelType

typedef OutputImageType::Pointer	OutputImagePointer

typedef OutputImageType::RegionType	OutputImageRegionType

typedef TOutputImage	OutputImageType

typedef SmartPointer< Self >	Pointer

typedef ImageSource	Self

typedef ProcessObject	Superclass

Public Types inherited from itk::ProcessObject
typedef SmartPointer< const Self >	ConstPointer

typedef DataObject::DataObjectIdentifierType	DataObjectIdentifierType

typedef DataObject::Pointer	DataObjectPointer

typedef std::vector < DataObjectPointer >	DataObjectPointerArray

typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType

typedef std::vector < DataObjectIdentifierType >	NameArray

typedef SmartPointer< Self >	Pointer

typedef ProcessObject	Self

typedef Object	Superclass

Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer

typedef SmartPointer< Self >	Pointer

typedef Object	Self

typedef LightObject	Superclass

Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer

typedef SmartPointer< Self >	Pointer

typedef LightObject	Self

Public Member Functions
virtual const char *	GetNameOfClass () const

OutputImageType *	GetOutput (unsigned int idx)

virtual void	GraftNthOutput (unsigned int idx, DataObject *output)

virtual void	GraftOutput (DataObject *output)

virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)


OutputImageType *	GetOutput (void)

const OutputImageType *	GetOutput (void) const


virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) ITK_OVERRIDE

Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()

virtual void	AbortGenerateDataOn ()

virtual void	EnlargeOutputRequestedRegion (DataObject *)

virtual const bool &	GetAbortGenerateData () const

NameArray	GetInputNames () const

MultiThreader *	GetMultiThreader () const

DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const

DataObjectPointerArraySizeType	GetNumberOfInputs () const

DataObjectPointerArraySizeType	GetNumberOfOutputs () const

virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const

NameArray	GetOutputNames () const

virtual const float &	GetProgress () const

NameArray	GetRequiredInputNames () const

bool	HasInput (const DataObjectIdentifierType &key) const

bool	HasOutput (const DataObjectIdentifierType &key) const

virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)

virtual void	PrepareOutputs ()

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

virtual void	Update ()

virtual void	UpdateLargestPossibleRegion ()

virtual void	UpdateOutputData (DataObject *output)

virtual void	UpdateOutputInformation ()

void	UpdateProgress (float progress)

DataObjectPointerArray	GetInputs ()

DataObjectPointerArray	GetOutputs ()

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const

void	SetProgress (float progress)

virtual void	SetReleaseDataFlag (bool flag)

virtual bool	GetReleaseDataFlag () const

void	ReleaseDataFlagOn ()

void	ReleaseDataFlagOff ()

virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)

virtual const bool &	GetReleaseDataBeforeUpdateFlag () const

virtual void	ReleaseDataBeforeUpdateFlagOn ()

virtual void	ReleaseDataBeforeUpdateFlagOff ()

virtual void	SetNumberOfThreads (ThreadIdType _arg)

virtual const ThreadIdType &	GetNumberOfThreads () const

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

unsigned long	AddObserver (const EventObject &event, Command *) const

virtual LightObject::Pointer	CreateAnother () const ITK_OVERRIDE

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary (void)

const MetaDataDictionary &	GetMetaDataDictionary (void) const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

virtual void	Register () const ITK_OVERRIDE

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

virtual void	SetReferenceCount (int) ITK_OVERRIDE

virtual void	UnRegister () const ITK_OVERRIDE

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
virtual void	Delete ()

virtual int	GetReferenceCount () const

	itkCloneMacro (Self)

void	Print (std::ostream &os, Indent indent=0) const

Static Public Attributes
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Protected Member Functions
virtual void	AfterThreadedGenerateData ()

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

virtual void	GenerateData () ITK_OVERRIDE

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter (void) const

	ImageSource ()

virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)

virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)

virtual	~ImageSource ()

Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)

virtual void	AddOutput (DataObject *output)

virtual void	CacheInputReleaseDataFlags ()

virtual void	GenerateInputRequestedRegion ()

virtual void	GenerateOutputInformation ()

virtual void	GenerateOutputRequestedRegion (DataObject *output)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))

	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))

	itkLegacyMacro (virtual void RemoveInput(DataObject *input))

	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

virtual void	PrintSelf (std::ostream &os, Indent indent) const ITK_OVERRIDE

	ProcessObject ()

virtual void	PropagateResetPipeline ()

virtual void	ReleaseInputs ()

virtual void	RemoveInput (const DataObjectIdentifierType &key)

virtual void	RemoveInput (DataObjectPointerArraySizeType)

virtual void	RemoveOutput (const DataObjectIdentifierType &key)

virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)

virtual void	RestoreInputReleaseDataFlags ()

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)

virtual void	SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)

virtual void	SetPrimaryInput (DataObject *input)

virtual void	SetPrimaryOutput (DataObject *output)

virtual void	VerifyInputInformation ()

virtual void	VerifyPreconditions ()

	~ProcessObject ()

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

virtual void	PushBackInput (const DataObject *input)

virtual void	PopBackInput ()

virtual void	PushFrontInput (const DataObject *input)

virtual void	PopFrontInput ()

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName (void) const

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

bool	RemoveRequiredInputName (const DataObjectIdentifierType &)

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

void	SetRequiredInputNames (const NameArray &)

DataObject *	GetOutput (const DataObjectIdentifierType &key)

const DataObject *	GetOutput (const DataObjectIdentifierType &key) const

virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryOutputName (void) const

DataObject *	GetOutput (DataObjectPointerArraySizeType idx)

const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

Protected Member Functions inherited from itk::Object
	Object ()

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &time)

virtual	~Object ()

Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const

	LightObject ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const

virtual void	PrintTrailer (std::ostream &os, Indent indent) const

virtual	~LightObject ()

Static Protected Member Functions
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()

static ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)

Private Member Functions
	ImageSource (const Self &)

void	operator= (const Self &)

Additional Inherited Members
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool flag)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Protected Types inherited from itk::LightObject
typedef int	InternalReferenceCountType

Protected Attributes inherited from itk::ProcessObject
TimeStamp	m_OutputInformationMTime

bool	m_Updating

Protected Attributes inherited from itk::LightObject
InternalReferenceCountType	m_ReferenceCount

SimpleFastMutexLock	m_ReferenceCountLock

Static Private Member Functions inherited from itk::ImageSourceCommon
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter (void)

Member Typedef Documentation

template<typename TOutputImage>

typedef SmartPointer< const Self > itk::ImageSource< TOutputImage >::ConstPointer

Definition at line 94 of file itkImageSource.h.

template<typename TOutputImage>

typedef Superclass::DataObjectIdentifierType itk::ImageSource< TOutputImage >::DataObjectIdentifierType

Definition at line 99 of file itkImageSource.h.

template<typename TOutputImage>

typedef DataObject::Pointer itk::ImageSource< TOutputImage >::DataObjectPointer

Smart Pointer type to a DataObject.

Definition at line 97 of file itkImageSource.h.

template<typename TOutputImage>

typedef Superclass::DataObjectPointerArraySizeType itk::ImageSource< TOutputImage >::DataObjectPointerArraySizeType

Definition at line 100 of file itkImageSource.h.

template<typename TOutputImage>

typedef OutputImageType::PixelType itk::ImageSource< TOutputImage >::OutputImagePixelType

Definition at line 109 of file itkImageSource.h.

template<typename TOutputImage>

typedef OutputImageType::Pointer itk::ImageSource< TOutputImage >::OutputImagePointer

Definition at line 107 of file itkImageSource.h.

template<typename TOutputImage>

typedef OutputImageType::RegionType itk::ImageSource< TOutputImage >::OutputImageRegionType

Definition at line 108 of file itkImageSource.h.

template<typename TOutputImage>

typedef TOutputImage itk::ImageSource< TOutputImage >::OutputImageType

Some convenient typedefs.

Definition at line 103 of file itkImageSource.h.

template<typename TOutputImage>

typedef SmartPointer< Self > itk::ImageSource< TOutputImage >::Pointer

Definition at line 93 of file itkImageSource.h.

template<typename TOutputImage>

typedef ImageSource itk::ImageSource< TOutputImage >::Self

Standard class typedefs.

Definition at line 91 of file itkImageSource.h.

template<typename TOutputImage>

typedef ProcessObject itk::ImageSource< TOutputImage >::Superclass

Definition at line 92 of file itkImageSource.h.

Constructor & Destructor Documentation

template<typename TOutputImage>

itk::ImageSource< TOutputImage >::ImageSource ( )

protected

template<typename TOutputImage>

virtual itk::ImageSource< TOutputImage >::~ImageSource ( )

inlineprotectedvirtual

Definition at line 239 of file itkImageSource.h.

template<typename TOutputImage>

itk::ImageSource< TOutputImage >::ImageSource ( const Self & )

private

Member Function Documentation

template<typename TOutputImage>

virtual void itk::ImageSource< TOutputImage >::AfterThreadedGenerateData ( )

inlineprotectedvirtual

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 313 of file itkImageSource.h.

template<typename TOutputImage>

virtual void itk::ImageSource< TOutputImage >::AllocateOutputs ( )

protectedvirtual

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.

Referenced by itk::InPlaceImageFilter< TImage, TImage >::InternalAllocateOutputs().

template<typename TOutputImage>

virtual void itk::ImageSource< TOutputImage >::BeforeThreadedGenerateData ( void )

inlineprotectedvirtual

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 301 of file itkImageSource.h.

template<typename TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GenerateData ( )

protectedvirtual

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

See Also: ThreadedGenerateData()

Reimplemented from itk::ProcessObject.

Referenced by itk::DivideImageFilter< TInputImage, Image< TConstant, TInputImage::ImageDimension >, TOutputImage >::GenerateData(), and itk::BinaryNotImageFilter< TImage >::GenerateData().

template<typename TOutputImage>

static const ImageRegionSplitterBase* itk::ImageSource< TOutputImage >::GetGlobalDefaultSplitter ( void )

inlinestaticprotected

Returns the default image region splitter.

This is an adapter function from the private common base class to the interface of this class.

Definition at line 320 of file itkImageSource.h.

template<typename TOutputImage>

virtual const ImageRegionSplitterBase* itk::ImageSource< TOutputImage >::GetImageRegionSplitter ( void ) const

protectedvirtual

Get the image splitter to split the image for multi-threading.

The Splitter object divides the image into regions for threading or streaming. The algorithms on how to split an images are separated into class so that they can be easily be reused. When deriving from this class to write a filter consideration to the algorithm used to divide the image should be made. If a change is desired this method should be overridden to return the appropriate object.

Reimplemented in itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >, and itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >.

template<typename TOutputImage>

virtual const char* itk::ImageSource< TOutputImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::ProcessObject.

template<typename TOutputImage>

OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( void )

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

*   anotherFilter->SetInput( someFilter->GetOutput() );
*   anotherFilter->Update();
* 

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

*   image = someFilter->GetOutput();
*   image->Update();
* 

*   someFilter->Update();
*   image = someFilter->GetOutput();
* 

(In the above example, 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 streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Referenced by itk::CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >::AssignCannyInput(), itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >::CheckOutsideValue(), itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage >::GenerateOutputInformation(), and itk::CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetCannyImage().

template<typename TOutputImage>

const OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( void ) const

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

*   anotherFilter->SetInput( someFilter->GetOutput() );
*   anotherFilter->Update();
* 

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

*   image = someFilter->GetOutput();
*   image->Update();
* 

*   someFilter->Update();
*   image = someFilter->GetOutput();
* 

(In the above example, 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 streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

template<typename TOutputImage>

OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( unsigned int idx )

template<typename TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GraftNthOutput	(	unsigned int	idx,
		DataObject *	output
	)

virtual

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

template<typename TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GraftOutput ( DataObject * output )

virtual

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).

Reimplemented in itk::GPUImageToImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > >, and itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >.

template<typename TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GraftOutput	(	const DataObjectIdentifierType &	key,
		DataObject *	output
	)

virtual

Graft the specified data object onto this ProcessObject's named output. This is similar to the GraftOutput method except it allows you to specify which output is affected. See the GraftOutput for general usage information.

Reimplemented in itk::GPUImageToImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > >, and itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >.

template<typename TOutputImage>

virtual ProcessObject::DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput ( ProcessObject::DataObjectPointerArraySizeType idx )

virtual

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 itkSmartPointer to a DataObject. ImageSource and MeshSource override this method to create the correct type of image and mesh respectively. If a filter has multiple outputs of different types, then that filter must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

Reimplemented in itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::StatisticsImageFilter< TInputImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, Function::RankHistogram< TInputImage::PixelType > >, itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::MinimumMaximumImageFilter< TInputImage >, and itk::Testing::HashImageFilter< TImageType >.

template<typename TOutputImage>

void itk::ImageSource< TOutputImage >::operator= ( const Self & )

private

template<typename TOutputImage>

virtual unsigned int itk::ImageSource< TOutputImage >::SplitRequestedRegion	(	unsigned int	i,
		unsigned int	pieces,
		OutputImageRegionType &	splitRegion
	)

protectedvirtual

Split the output's RequestedRegion into "pieces" pieces, returning region "i" as "splitRegion". This method is called concurrently "pieces" 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 "pieces".

To override the algorithm used split the image this method should no longer be overridden. Instead, the algorithm should be implemented in a ImageRegionSplitterBase class, and the GetImageRegionSplitter should overridden to return the splitter object with the desired algorithm.

See Also: GetImageRegionSplitter

Reimplemented in itk::BSplineControlPointImageFilter< TInputImage, TOutputImage >, and itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >.

template<typename TOutputImage>

virtual void itk::ImageSource< TOutputImage >::ThreadedGenerateData	(	const OutputImageRegionType &	outputRegionForThread,
		ThreadIdType	threadId
	)

protectedvirtual

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()

template<typename TOutputImage>

static ITK_THREAD_RETURN_TYPE itk::ImageSource< TOutputImage >::ThreaderCallback ( void * arg )

staticprotected

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().

Member Data Documentation

template<typename TOutputImage>

const unsigned int itk::ImageSource< TOutputImage >::OutputImageDimension = TOutputImage::ImageDimension

static

ImageDimension constant

Definition at line 113 of file itkImageSource.h.

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

itkImageSource.h

Detailed Description

template<typename TOutputImage> class itk::ImageSource< TOutputImage >

Classes

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template<typename TOutputImage>
class itk::ImageSource< TOutputImage >