#include <itkImageSource.h>

Inheritance diagram for itk::ImageSource< TOutputImage >:

Collaboration diagram for itk::ImageSource< TOutputImage >:

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 std::vector < DataObjectPointer >	DataObjectPointerArray
typedef std::vector < DataObjectIdentifierType >	NameArray
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

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)
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual const bool &	GetAbortGenerateData ()
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 ()
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	SetProgress (float _arg)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
DataObjectPointerArray	GetInputs ()
DataObjectPointerArray	GetOutputs ()
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
virtual void	SetReleaseDataFlag (bool flag)
virtual bool	GetReleaseDataFlag () const
void	ReleaseDataFlagOn ()
void	ReleaseDataFlagOff ()
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads ()
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
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 unsigned long	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
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () 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 ()
	ImageSource ()
virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int num, 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)
bool	AddRequiredInputName (const DataObjectIdentifierType &)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs ()
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs ()
bool	IsIndexedName (const DataObjectIdentifierType &) const
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType	MakeIndexFromName (const DataObjectIdentifierType &) const
DataObjectIdentifierType	MakeNameFromIndex (DataObjectPointerArraySizeType) const
void	PrintSelf (std::ostream &os, Indent indent) const
	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)
bool	RemoveRequiredInputName (const DataObjectIdentifierType &)
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	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	SetPrimaryInput (DataObject *input)
virtual void	SetPrimaryOutput (DataObject *output)
void	SetRequiredInputNames (const NameArray &)
virtual void	VerifyInputInformation ()
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
DataObject *	GetInput (DataObjectPointerArraySizeType)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
DataObject *	GetOutput (DataObjectPointerArraySizeType idx)
const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryOutput ()
const DataObject *	GetPrimaryOutput () const
virtual void	PushBackInput (const DataObject *input)
virtual void	PopBackInput ()
virtual void	PushFrontInput (const DataObject *input)
virtual void	PopFrontInput ()
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 ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)

Private Member Functions

	ImageSource (const Self &)
void	operator= (const Self &)

Additional Inherited Members
Protected Attributes inherited from itk::ProcessObject
bool	m_Updating
TimeStamp	m_OutputInformationMTime

Detailed Description

template<class 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:

All Examples

Produce an image programmatically.

Definition at line 64 of file itkImageSource.h.

Member Typedef Documentation

template<class TOutputImage>

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

Reimplemented from itk::ProcessObject.

Definition at line 71 of file itkImageSource.h.

template<class TOutputImage>

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

Reimplemented from itk::ProcessObject.

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

Definition at line 76 of file itkImageSource.h.

template<class TOutputImage>

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

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::StatisticsImageFilter< TInputImage >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, itk::MinimumMaximumImageFilter< TInputImage >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::Testing::HashImageFilter< TImageType >, and itk::ParametricImageSource< TOutputImage >.

Definition at line 74 of file itkImageSource.h.

template<class TOutputImage>

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

Reimplemented from itk::ProcessObject.

Reimplemented in itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, 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 >.

Definition at line 77 of file itkImageSource.h.

template<class TOutputImage>

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

Definition at line 86 of file itkImageSource.h.

template<class TOutputImage>

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

Definition at line 84 of file itkImageSource.h.

template<class TOutputImage>

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

Definition at line 85 of file itkImageSource.h.

template<class TOutputImage>

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

Some convenient typedefs.

Definition at line 80 of file itkImageSource.h.

template<class TOutputImage>

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

Reimplemented from itk::ProcessObject.

Definition at line 70 of file itkImageSource.h.

template<class TOutputImage>

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

Standard class typedefs.

Reimplemented from itk::ProcessObject.

Definition at line 68 of file itkImageSource.h.

template<class TOutputImage>

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

Reimplemented from itk::ProcessObject.

Definition at line 69 of file itkImageSource.h.

Constructor & Destructor Documentation

template<class TOutputImage>

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

protected

template<class TOutputImage>

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

inlineprotectedvirtual

Definition at line 216 of file itkImageSource.h.

template<class TOutputImage>

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

private

Member Function Documentation

template<class 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 290 of file itkImageSource.h.

template<class 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.

template<class 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 278 of file itkImageSource.h.

template<class 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.

template<class TOutputImage>

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

virtual

Run-time type information (and related methods).

Reimplemented from itk::ProcessObject.

template<class 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.

template<class 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<class TOutputImage>

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

template<class 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<class 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<class 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<class 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::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, 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<class TOutputImage>

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

private

template<class TOutputImage>

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

protectedvirtual

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".

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

template<class 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<class 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<class TOutputImage>

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

static

ImageDimension constant

Definition at line 90 of file itkImageSource.h.

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

itkImageSource.h

Classes

Public Types

Public Member Functions

Static Public Attributes

Protected Member Functions

Static Protected Member Functions

Private Member Functions

Additional Inherited Members

Detailed Description

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

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

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