#include <itkMaximumImageFilter.h>
Inheritance diagram for itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage >:
The pixel values of the output image are the maximum between the corresponding pixels of the two input images.
This class is parametrized over the types of the two input images and the type of the output image. Numeric conversions (castings) are done by the C++ defaults.
Definition at line 68 of file itkMaximumImageFilter.h.
Public Types | |
typedef SmartPointer< const Self > | ConstPointer |
typedef DataObject::Pointer | DataObjectPointer |
typedef std::vector< DataObjectPointer > | DataObjectPointerArray |
typedef DataObjectPointerArray::size_type | DataObjectPointerArraySizeType |
typedef TFunction | FunctorType |
typedef Input1ImageType::PixelType | Input1ImagePixelType |
typedef Input1ImageType::ConstPointer | Input1ImagePointer |
typedef Input1ImageType::RegionType | Input1ImageRegionType |
typedef TInputImage1 | Input1ImageType |
typedef Input2ImageType::PixelType | Input2ImagePixelType |
typedef Input2ImageType::ConstPointer | Input2ImagePointer |
typedef Input2ImageType::RegionType | Input2ImageRegionType |
typedef TInputImage2 | Input2ImageType |
typedef InputImageType::ConstPointer | InputImageConstPointer |
typedef InputImageType::PixelType | InputImagePixelType |
typedef InputImageType::Pointer | InputImagePointer |
typedef InputImageType::RegionType | InputImageRegionType |
typedef TInputImage1 | InputImageType |
typedef OutputImageType::PixelType | OutputImagePixelType |
typedef OutputImageType::Pointer | OutputImagePointer |
typedef OutputImageType::RegionType | OutputImageRegionType |
typedef TOutputImage | OutputImageType |
typedef SmartPointer< Self > | Pointer |
typedef MaximumImageFilter | Self |
typedef BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Maximum< typename TInputImage1::PixelType, typename TInputImage2::PixelType, typename TOutputImage::PixelType > > | Superclass |
Public Member Functions | |
virtual void | AbortGenerateDataOff () |
virtual void | AbortGenerateDataOn () |
bool | CanRunInPlace () const |
virtual LightObject::Pointer | CreateAnother () const |
virtual void | DebugOff () const |
virtual void | DebugOn () const |
virtual void | Delete () |
virtual void | EnlargeOutputRequestedRegion (DataObject *) |
virtual const bool & | GetAbortGenerateData () |
Command * | GetCommand (unsigned long tag) |
bool | GetDebug () const |
const FunctorType & | GetFunctor () const |
FunctorType & | GetFunctor () |
virtual bool | GetInPlace () |
const InputImageType * | GetInput (unsigned int idx) |
const InputImageType * | GetInput (void) |
DataObjectPointerArray & | GetInputs () |
const MetaDataDictionary & | GetMetaDataDictionary (void) const |
MetaDataDictionary & | GetMetaDataDictionary (void) |
virtual unsigned long | GetMTime () const |
MultiThreader * | GetMultiThreader () |
virtual const char * | GetNameOfClass () const |
DataObjectPointerArraySizeType | GetNumberOfInputs () const |
virtual DataObjectPointerArraySizeType | GetNumberOfValidRequiredInputs () const |
virtual const float & | GetProgress () |
virtual int | GetReferenceCount () const |
virtual void | GraftNthOutput (unsigned int idx, DataObject *output) |
virtual void | GraftOutput (DataObject *output) |
bool | HasObserver (const EventObject &event) const |
virtual void | InPlaceOff () |
virtual void | InPlaceOn () |
void | InvokeEvent (const EventObject &) const |
void | InvokeEvent (const EventObject &) |
itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage1::ImageDimension) | |
virtual DataObjectPointer | MakeOutput (unsigned int idx) |
virtual void | Modified () const |
virtual void | PopBackInput () |
virtual void | PopFrontInput () |
virtual void | PrepareOutputs () |
void | Print (std::ostream &os, Indent indent=0) const |
virtual void | PropagateRequestedRegion (DataObject *output) |
virtual void | PushBackInput (const InputImageType *image) |
virtual void | PushFrontInput (const InputImageType *image) |
virtual void | Register () const |
void | RemoveAllObservers () |
void | RemoveObserver (unsigned long tag) |
virtual void | ResetPipeline () |
virtual void | SetAbortGenerateData (bool _arg) |
void | SetDebug (bool debugFlag) const |
virtual void | SetInPlace (bool _arg) |
virtual void | SetInput (unsigned int, const TInputImage1 *image) |
virtual void | SetInput (const InputImageType *image) |
void | SetInput1 (const TInputImage1 *image1) |
void | SetInput2 (const TInputImage2 *image2) |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
virtual void | SetProgress (float _arg) |
virtual void | SetReferenceCount (int) |
virtual void | UnRegister () const |
virtual void | Update () |
virtual void | UpdateLargestPossibleRegion () |
virtual void | UpdateOutputData (DataObject *output) |
virtual void | UpdateOutputInformation () |
void | UpdateProgress (float amount) |
unsigned long | AddObserver (const EventObject &event, Command *) const |
unsigned long | AddObserver (const EventObject &event, Command *) |
DataObjectPointerArraySizeType | GetNumberOfOutputs () const |
DataObjectPointerArray & | GetOutputs () |
virtual const int & | GetNumberOfThreads () |
virtual void | SetNumberOfThreads (int _arg) |
OutputImageType * | GetOutput (unsigned int idx) |
OutputImageType * | GetOutput (void) |
virtual const bool & | GetReleaseDataBeforeUpdateFlag () |
virtual void | ReleaseDataBeforeUpdateFlagOff () |
virtual void | ReleaseDataBeforeUpdateFlagOn () |
virtual void | SetReleaseDataBeforeUpdateFlag (bool _arg) |
virtual bool | GetReleaseDataFlag () const |
void | ReleaseDataFlagOff () |
void | ReleaseDataFlagOn () |
virtual void | SetReleaseDataFlag (bool flag) |
itkStaticConstMacro (OutputImageDimension, unsigned int, TOutputImage::ImageDimension) | |
itkStaticConstMacro (InputImage2Dimension, unsigned int, TInputImage2::ImageDimension) | |
itkStaticConstMacro (InputImage1Dimension, unsigned int, TInputImage1::ImageDimension) | |
void | SetFunctor (const FunctorType &functor) |
Static Public Member Functions | |
static void | BreakOnError () |
static Pointer | New () |
static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static void | SetGlobalWarningDisplay (bool flag) |
Protected Types | |
typedef ImageToImageFilterDetail::ImageRegionCopier< itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> | InputToOutputRegionCopierType |
typedef ImageToImageFilterDetail::ImageRegionCopier< itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> | OutputToInputRegionCopierType |
Protected Member Functions | |
virtual void | AfterThreadedGenerateData () |
virtual void | AllocateOutputs () |
virtual void | BeforeThreadedGenerateData () |
virtual void | CacheInputReleaseDataFlags () |
virtual void | CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion) |
virtual void | CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion) |
virtual void | GenerateData () |
virtual void | GenerateInputRequestedRegion () |
virtual void | GenerateOutputInformation () |
virtual void | GenerateOutputRequestedRegion (DataObject *output) |
MaximumImageFilter () | |
bool | PrintObservers (std::ostream &os, Indent indent) const |
virtual void | PrintSelf (std::ostream &os, Indent indent) const |
virtual void | PropagateResetPipeline () |
void | PushBackInput (const DataObject *input) |
void | PushFrontInput (const DataObject *input) |
virtual void | ReleaseInputs () |
virtual void | RestoreInputReleaseDataFlags () |
void | SetNumberOfInputs (unsigned int num) |
void | SetNumberOfOutputs (unsigned int num) |
virtual int | SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion) |
void | ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId) |
virtual | ~MaximumImageFilter () |
virtual void | AddInput (DataObject *input) |
virtual const unsigned int & | GetNumberOfRequiredInputs () |
virtual void | RemoveInput (DataObject *input) |
virtual void | SetNthInput (unsigned int num, DataObject *input) |
virtual void | SetNumberOfRequiredInputs (unsigned int _arg) |
virtual void | AddOutput (DataObject *output) |
virtual const unsigned int & | GetNumberOfRequiredOutputs () |
virtual void | RemoveOutput (DataObject *output) |
virtual void | SetNthOutput (unsigned int num, DataObject *output) |
virtual void | SetNumberOfRequiredOutputs (unsigned int _arg) |
const DataObject * | GetInput (unsigned int idx) const |
const DataObject * | GetOutput (unsigned int idx) const |
virtual void | PrintHeader (std::ostream &os, Indent indent) const |
virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
Static Protected Member Functions | |
static ITK_THREAD_RETURN_TYPE | ThreaderCallback (void *arg) |
Protected Attributes | |
TimeStamp | m_OutputInformationMTime |
volatile int | m_ReferenceCount |
SimpleFastMutexLock | m_ReferenceCountLock |
bool | m_Updating |
typedef SmartPointer<const Self> itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage >::ConstPointer |
Reimplemented from itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >.
Definition at line 86 of file itkMaximumImageFilter.h.
typedef DataObject::Pointer itk::ImageSource< TOutputImage >::DataObjectPointer [inherited] |
Smart Pointer type to a DataObject.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::StatisticsImageFilter< TInputImage >, and itk::StreamingImageFilter< TInputImage, TOutputImage >.
Definition at line 62 of file itkImageSource.h.
typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray [inherited] |
STL Array of SmartPointers to DataObjects
Definition at line 103 of file itkProcessObject.h.
typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType [inherited] |
Size type of an std::vector
Definition at line 112 of file itkProcessObject.h.
typedef TFunction itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::FunctorType [inherited] |
Some convenient typedefs.
Reimplemented in itk::JoinImageFilter< TInputImage1, TInputImage2 >, and itk::WeightedAddImageFilter< TInputImage1, TInputImage2, TOutputImage >.
Definition at line 53 of file itkBinaryFunctorImageFilter.h.
typedef Input1ImageType::PixelType itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::Input1ImagePixelType [inherited] |
Definition at line 60 of file itkBinaryFunctorImageFilter.h.
typedef Input1ImageType::ConstPointer itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::Input1ImagePointer [inherited] |
Definition at line 58 of file itkBinaryFunctorImageFilter.h.
typedef Input1ImageType::RegionType itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::Input1ImageRegionType [inherited] |
Definition at line 59 of file itkBinaryFunctorImageFilter.h.
typedef TInputImage1 itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::Input1ImageType [inherited] |
Definition at line 57 of file itkBinaryFunctorImageFilter.h.
typedef Input2ImageType::PixelType itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::Input2ImagePixelType [inherited] |
Definition at line 64 of file itkBinaryFunctorImageFilter.h.
typedef Input2ImageType::ConstPointer itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::Input2ImagePointer [inherited] |
Definition at line 62 of file itkBinaryFunctorImageFilter.h.
typedef Input2ImageType::RegionType itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::Input2ImageRegionType [inherited] |
Definition at line 63 of file itkBinaryFunctorImageFilter.h.
typedef TInputImage2 itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::Input2ImageType [inherited] |
Definition at line 61 of file itkBinaryFunctorImageFilter.h.
typedef InputImageType::ConstPointer itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::InputImageConstPointer [inherited] |
Reimplemented from itk::ImageToImageFilter< TInputImage1, TOutputImage >.
Definition at line 84 of file itkInPlaceImageFilter.h.
typedef InputImageType::PixelType itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::InputImagePixelType [inherited] |
Reimplemented from itk::ImageToImageFilter< TInputImage1, TOutputImage >.
Definition at line 86 of file itkInPlaceImageFilter.h.
typedef InputImageType::Pointer itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::InputImagePointer [inherited] |
Reimplemented from itk::ImageToImageFilter< TInputImage1, TOutputImage >.
Definition at line 83 of file itkInPlaceImageFilter.h.
typedef InputImageType::RegionType itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::InputImageRegionType [inherited] |
Reimplemented from itk::ImageToImageFilter< TInputImage1, TOutputImage >.
Definition at line 85 of file itkInPlaceImageFilter.h.
typedef TInputImage1 itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::InputImageType [inherited] |
Some convenient typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage1, TOutputImage >.
Reimplemented in itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage >.
Definition at line 82 of file itkInPlaceImageFilter.h.
typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> itk::ImageToImageFilter< TInputImage1 , TOutputImage >::InputToOutputRegionCopierType [protected, inherited] |
Typedef for the region copier function object that converts an input region to an output region.
Definition at line 163 of file itkImageToImageFilter.h.
typedef OutputImageType::PixelType itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::OutputImagePixelType [inherited] |
Reimplemented from itk::InPlaceImageFilter< TInputImage1, TOutputImage >.
Reimplemented in itk::JoinImageFilter< TInputImage1, TInputImage2 >.
Definition at line 68 of file itkBinaryFunctorImageFilter.h.
typedef OutputImageType::Pointer itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::OutputImagePointer [inherited] |
Reimplemented from itk::InPlaceImageFilter< TInputImage1, TOutputImage >.
Definition at line 66 of file itkBinaryFunctorImageFilter.h.
typedef OutputImageType::RegionType itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::OutputImageRegionType [inherited] |
Superclass typedefs.
Reimplemented from itk::InPlaceImageFilter< TInputImage1, TOutputImage >.
Definition at line 67 of file itkBinaryFunctorImageFilter.h.
typedef TOutputImage itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::OutputImageType [inherited] |
Superclass typedefs.
Reimplemented from itk::InPlaceImageFilter< TInputImage1, TOutputImage >.
Reimplemented in itk::Compose2DCovariantVectorImageFilter< TInputImage, TOutputImage >, itk::Compose2DVectorImageFilter< TInputImage, TOutputImage >, itk::JoinImageFilter< TInputImage1, TInputImage2 >, and itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage >.
Definition at line 65 of file itkBinaryFunctorImageFilter.h.
typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> itk::ImageToImageFilter< TInputImage1 , TOutputImage >::OutputToInputRegionCopierType [protected, inherited] |
Typedef for the region copier function object that converts an output region to an input region.
Definition at line 168 of file itkImageToImageFilter.h.
typedef SmartPointer<Self> itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage >::Pointer |
Reimplemented from itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >.
Definition at line 85 of file itkMaximumImageFilter.h.
typedef MaximumImageFilter itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage >::Self |
Standard class typedefs.
Reimplemented from itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >.
Definition at line 78 of file itkMaximumImageFilter.h.
typedef BinaryFunctorImageFilter<TInputImage1,TInputImage2,TOutputImage, Function::Maximum< typename TInputImage1::PixelType, typename TInputImage2::PixelType, typename TOutputImage::PixelType> > itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage >::Superclass |
Reimplemented from itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >.
Definition at line 84 of file itkMaximumImageFilter.h.
itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage >::MaximumImageFilter | ( | ) | [inline, protected] |
Definition at line 107 of file itkMaximumImageFilter.h.
virtual itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage >::~MaximumImageFilter | ( | ) | [inline, protected, virtual] |
Definition at line 108 of file itkMaximumImageFilter.h.
virtual void itk::ProcessObject::AbortGenerateDataOff | ( | ) | [virtual, inherited] |
virtual void itk::ProcessObject::AbortGenerateDataOn | ( | ) | [virtual, inherited] |
Turn on and off the AbortGenerateData flag.
virtual void itk::ProcessObject::AddInput | ( | DataObject * | input | ) | [protected, virtual, inherited] |
unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
Command * | ||||
) | const [inherited] |
unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
Command * | ||||
) | [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
virtual void itk::ProcessObject::AddOutput | ( | DataObject * | output | ) | [protected, virtual, inherited] |
virtual void itk::ImageSource< TOutputImage >::AfterThreadedGenerateData | ( | ) | [inline, protected, virtual, inherited] |
If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.
Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::InterpolateImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleInPlaceImageFilter< TInputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::StatisticsImageFilter< TInputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, and itk::DifferenceImageFilter< TInputImage, TOutputImage >.
Definition at line 254 of file itkImageSource.h.
virtual void itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::AllocateOutputs | ( | ) | [protected, virtual, inherited] |
The GenerateData method normally allocates the buffers for all of the outputs of a filter. Since InPlaceImageFilter's can use an overwritten version of the input for its output, the output buffer should not be allocated. When possible, we graft the input to the filter to the output. If an InPlaceFilter has multiple outputs, then it would need to override this method to graft one of its outputs and allocate the remaining. If a filter is threaded (i.e. it provides an implementation of ThreadedGenerateData()), this method is called automatically. If an InPlaceFilter is not threaded (i.e. it provides an implementation of GenerateData()), then this method (or equivalent) must be called in GenerateData().
Reimplemented from itk::ImageSource< TOutputImage >.
virtual void itk::ImageSource< TOutputImage >::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.
Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::LabelVotingImageFilter< TInputImage, TOutputImage >, itk::BilateralImageFilter< TInputImage, TOutputImage >, itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DeformationFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ImageToVectorImageFilter< TInputImage >, itk::IntensityWindowingImageFilter< TInputImage, TOutputImage >, itk::InterpolateImageFilter< TInputImage, TOutputImage >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InvertIntensityImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::ModulusImageFilter< TInputImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::RescaleIntensityImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleInPlaceImageFilter< TInputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::StatisticsImageFilter< TInputImage >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >, itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >, itk::VectorIndexSelectionCastImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorRescaleIntensityImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::DifferenceImageFilter< TInputImage, TOutputImage >, itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage >, itk::LabelToRGBImageFilter< TLabelImage, TOutputImage >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, itk::Function::Compose3DVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, itk::Function::Modulus3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, itk::Function::ModulusSquare3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, itk::Function::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, itk::Function::Compose3DCovariantVector< TInputImage::PixelType > >, and itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, itk::Function::ComposeRGB< TInputImage::PixelType > >.
Definition at line 242 of file itkImageSource.h.
static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
virtual void itk::ProcessObject::CacheInputReleaseDataFlags | ( | ) | [protected, virtual, inherited] |
Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().
virtual void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::CallCopyInputRegionToOutputRegion | ( | OutputImageRegionType & | destRegion, | |
const InputImageRegionType & | srcRegion | |||
) | [protected, virtual, inherited] |
This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.
This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.
The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.
For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.
If a filter needs a different default behavior, it can override this method.
virtual void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::CallCopyOutputRegionToInputRegion | ( | InputImageRegionType & | destRegion, | |
const OutputImageRegionType & | srcRegion | |||
) | [protected, virtual, inherited] |
This function calls the actual region copier to do the mapping from output image space to input image space. It uses a Function object used for dispatching to various routines to copy an output region (start index and size) to an input region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::ExtractImageFilter can support output images of a lower dimension that the input.
This function object can be used by GenerateOutputInformation() to copy the input LargestPossibleRegion to the output LargestPossibleRegion and can also be used in GenerateData or ThreadedGenerateData() where a filter may need to map an output region to an input region.
The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.
For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the output region information is copied into the first portion of the input region and the rest of the input region is set to zero. If the input region is a lower dimension than the output, the first portion of the output region is copied to the input region.
If a filter needs a different default behavior, it can override this method. The ExtractImageFilter overrides this function object so that if the input image is a higher dimension than the output image, the filter can control "where" in the input image the output subimage is extracted (as opposed to mapping to first few dimensions of the input).
bool itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::CanRunInPlace | ( | ) | const [inline, inherited] |
Can the filter run in place? To do so, the filter's first input and output must have the same dimension and pixel type. This method can be used in conjunction with the InPlace ivar to determine whether a particular use of the filter is really running in place. Some filters may be able to optimize their operation if the InPlace is true and CanRunInPlace is true.
Definition at line 108 of file itkInPlaceImageFilter.h.
virtual LightObject::Pointer itk::Object::CreateAnother | ( | ) | const [virtual, inherited] |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::LightObject.
virtual void itk::Object::DebugOff | ( | ) | const [virtual, inherited] |
Turn debugging output off.
virtual void itk::Object::DebugOn | ( | ) | const [virtual, inherited] |
Turn debugging output on.
virtual void itk::LightObject::Delete | ( | ) | [virtual, inherited] |
Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.
virtual void itk::ProcessObject::EnlargeOutputRequestedRegion | ( | DataObject * | ) | [inline, virtual, inherited] |
Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.
Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTRealToComplexConjugateImageFilter< TPixel, Dimension >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.
Definition at line 225 of file itkProcessObject.h.
virtual void itk::ImageSource< TOutputImage >::GenerateData | ( | ) | [protected, virtual, inherited] |
A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage >, itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryPruningImageFilter< TInputImage, TOutputImage >, itk::BinaryThinningImageFilter< TInputImage, TOutputImage >, itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >, itk::FastChamferDistanceImageFilter< TInputImage, TOutputImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FastMarchingUpwindGradientImageFilter< TLevelSet, TSpeedImage >, itk::FFTWComplexConjugateToRealImageFilter< TPixel, Dimension >, itk::FFTWRealToComplexConjugateImageFilter< TPixel, Dimension >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourShapePriorLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::NarrowBandCurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >, itk::ScalarImageKmeansImageFilter< TInputImage >, itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::STAPLEImageFilter< TInputImage, TOutputImage >, itk::ThresholdMaximumConnectedComponentsImageFilter< TInputImage, TOutputImage >, itk::VnlFFTComplexConjugateToRealImageFilter< TPixel, Dimension >, itk::VnlFFTRealToComplexConjugateImageFilter< TPixel, Dimension >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType >, itk::ApproximateSignedDistanceMapImageFilter< TInputImage, TOutputImage >, itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinomialBlurImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryPointImageToBloxBoundaryProfileImageFilter< TSourceImage >, itk::BloxBoundaryPointToCoreAtomImageFilter< dim >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ChangeInformationImageFilter< TInputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, TFunctor, TMaskImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::DifferenceOfGaussiansGradientImageFilter< TInputImage, TDataType >, itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GaussianImageSource< TOutputImage >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::Hessian3DToVesselnessMeasureImageFilter< TPixel >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::IterativeInverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NonThreadedShrinkImageFilter< TInputImage, TOutputImage >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::SpatialFunctionImageEvaluatorFilter< TSpatialFunction, TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TobogganImageFilter< TInputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryIterativeHoleFillingImageFilter< TImage >, itk::VTKImageImport< TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >, itk::SimpleFuzzyConnectednessRGBImageFilter< TInputImage, TOutputImage >, itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >, itk::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< Superclass::ImageType, Superclass::ImageType >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::SimilarPixelsFunctor< TInputImage::ValueType >, TMaskImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::SimilarVectorsFunctor< TInputImage::ValueType >, TMaskImage >, itk::DanielssonDistanceMapImageFilter< Superclass::ImageType, Superclass::ImageType >, itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::FiniteDifferenceImageFilter< TDeformationField, TDeformationField >, itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::FiniteDifferenceImageFilter< TInputImageType, TSparseOutputImageType >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramLogProbabilityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramIntensityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramProbabilityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramEntropyFunction< unsigned long > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.
virtual void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::GenerateInputRequestedRegion | ( | ) | [protected, virtual, inherited] |
What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierachy. Up till now, the base assumption has been that the largest possible region will be requested of the input.
This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.
Reimplemented from itk::ProcessObject.
virtual void itk::ProcessObject::GenerateOutputInformation | ( | ) | [protected, virtual, inherited] |
Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.
Reimplemented in itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, Dimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, Dimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::VoronoiDiagram2DGenerator< TCoordType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryMaskToNarrowBandPointSetFilter< TInputImage, TOutputMesh >, itk::ChangeInformationImageFilter< TInputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GaussianImageSource< TOutputImage >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::ImageToParametricSpaceFilter< TInputImage, TOutputMesh >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::NonThreadedShrinkImageFilter< TInputImage, TOutputImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::ParametricSpaceToImageSpaceMeshFilter< TInputMesh, TOutputMesh >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PermuteAxesImageFilter< TImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::RandomImageSource< TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VTKImageImport< TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::Statistics::ImageToListGenerator< TImage, TMaskImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TFeatureImageType, Superclass::ImageType, itk::Functor::Cast< TFeatureImageType::PixelType, Superclass::ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, itk::Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramLogProbabilityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramIntensityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramProbabilityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramEntropyFunction< unsigned long > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MedianAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, and itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >.
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< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>, and itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >.
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::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::GetFunctor | ( | ) | const [inline, inherited] |
Get the functor object. The functor is returned by reference. (Functors do not have to derive from itk::LightObject, so they do not necessarily have a reference count. So we cannot return a SmartPointer.)
Definition at line 86 of file itkBinaryFunctorImageFilter.h.
FunctorType& itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::GetFunctor | ( | ) | [inline, inherited] |
Get the functor object. The functor is returned by reference. (Functors do not have to derive from itk::LightObject, so they do not necessarily have a reference count. So we cannot return a SmartPointer.)
Definition at line 80 of file itkBinaryFunctorImageFilter.h.
static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
virtual bool itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::GetInPlace | ( | ) | [virtual, inherited] |
const DataObject* itk::ProcessObject::GetInput | ( | unsigned int | idx | ) | const [protected, inherited] |
const InputImageType* itk::ImageToImageFilter< TInputImage1 , TOutputImage >::GetInput | ( | unsigned int | idx | ) | [inherited] |
Method used internally for getting an input.
Reimplemented from itk::ProcessObject.
const InputImageType* itk::ImageToImageFilter< TInputImage1 , TOutputImage >::GetInput | ( | void | ) | [inherited] |
DataObjectPointerArray& itk::ProcessObject::GetInputs | ( | ) | [inline, inherited] |
Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.
Definition at line 108 of file itkProcessObject.h.
const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().
MultiThreader* itk::ProcessObject::GetMultiThreader | ( | ) | [inline, inherited] |
Return the multithreader used by this class.
Definition at line 284 of file itkProcessObject.h.
virtual const char* itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::GetNameOfClass | ( | ) | const [virtual, inherited] |
Run-time type information (and related methods).
Reimplemented from itk::InPlaceImageFilter< TInputImage1, TOutputImage >.
Reimplemented in itk::JoinImageFilter< TInputImage1, TInputImage2 >, and itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage >.
DataObjectPointerArraySizeType 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 118 of file itkProcessObject.h.
DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs | ( | ) | const [inline, inherited] |
Definition at line 135 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 DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs | ( | ) | const [virtual, inherited] |
Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.
Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.
const DataObject* itk::ProcessObject::GetOutput | ( | unsigned int | idx | ) | const [protected, inherited] |
OutputImageType* itk::ImageSource< TOutputImage >::GetOutput | ( | unsigned int | idx | ) | [inherited] |
Method used internally for getting an output.
Reimplemented from itk::ProcessObject.
OutputImageType* itk::ImageSource< TOutputImage >::GetOutput | ( | void | ) | [inherited] |
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();
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.
DataObjectPointerArray& itk::ProcessObject::GetOutputs | ( | ) | [inline, 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.
Definition at line 133 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] |
static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
virtual void itk::ImageSource< TOutputImage >::GraftNthOutput | ( | unsigned int | idx, | |
DataObject * | output | |||
) | [virtual, inherited] |
Graft the specified data object onto this ProcessObject's idx'th output. This is 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::GetNumberOfOutputs()). See the GraftOutput for general usage information.
virtual void itk::ImageSource< TOutputImage >::GraftOutput | ( | DataObject * | output | ) | [virtual, inherited] |
Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:
// setup the mini-pipeline to process the input to this filter firstFilterInMiniPipeline->SetInput( this->GetInput() ); // setup the mini-pipeline to calculate the correct regions // and write to the appropriate bulk data block lastFilterInMiniPipeline->GraftOutput( this->GetOutput() ); // execute the mini-pipeline lastFilterInMiniPipeline->Update(); // graft the mini-pipeline output back onto this filter's output. // this is needed to get the appropriate regions passed back. this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );
For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).
bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
virtual void itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::InPlaceOff | ( | ) | [virtual, inherited] |
virtual void itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::InPlaceOn | ( | ) | [virtual, 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::InPlaceImageFilter< TInputImage1 , TOutputImage >::itkStaticConstMacro | ( | InputImageDimension | , | |
unsigned | int, | |||
TInputImage1 ::ImageDimension | ||||
) | [inherited] |
ImageDimension constants
Reimplemented from itk::ImageToImageFilter< TInputImage1, TOutputImage >.
itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::itkStaticConstMacro | ( | OutputImageDimension | , | |
unsigned | int, | |||
TOutputImage::ImageDimension | ||||
) | [inherited] |
Reimplemented from itk::InPlaceImageFilter< TInputImage1, TOutputImage >.
itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::itkStaticConstMacro | ( | InputImage2Dimension | , | |
unsigned | int, | |||
TInputImage2::ImageDimension | ||||
) | [inherited] |
itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::itkStaticConstMacro | ( | InputImage1Dimension | , | |
unsigned | int, | |||
TInputImage1::ImageDimension | ||||
) | [inherited] |
ImageDimension constants
virtual DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput | ( | unsigned int | idx | ) | [virtual, inherited] |
Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().
Reimplemented from itk::ProcessObject.
Reimplemented in itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::MinimumMaximumImageFilter< TInputImage >, and itk::StatisticsImageFilter< TInputImage >.
virtual void itk::Object::Modified | ( | ) | const [virtual, inherited] |
Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), 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< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
static Pointer itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >.
virtual void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::PopBackInput | ( | ) | [virtual, inherited] |
Reimplemented from itk::ProcessObject.
virtual void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::PopFrontInput | ( | ) | [virtual, inherited] |
Reimplemented from itk::ProcessObject.
virtual void itk::ProcessObject::PrepareOutputs | ( | ) | [virtual, inherited] |
An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.
Reimplemented in itk::WatershedImageFilter< TInputImage >.
void itk::LightObject::Print | ( | std::ostream & | os, | |
Indent | indent = 0 | |||
) | const [inherited] |
Cause the object to print itself out.
Referenced by itk::WeakPointer< itk::ProcessObject >::Print().
virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, virtual, inherited] |
bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, inherited] |
virtual void itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::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::ImageToImageFilter< TInputImage1, TOutputImage >.
Reimplemented in itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >, and itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage >.
virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, virtual, inherited] |
virtual void itk::ProcessObject::PropagateRequestedRegion | ( | DataObject * | output | ) | [virtual, inherited] |
Send the requested region information back up the pipeline (to the filters that preceed this one).
Reimplemented in itk::VTKImageImport< TOutputImage >.
virtual void itk::ProcessObject::PropagateResetPipeline | ( | ) | [protected, virtual, inherited] |
Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.
void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::PushBackInput | ( | const DataObject * | input | ) | [inline, protected, virtual, inherited] |
PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.
Reimplemented from itk::ProcessObject.
Definition at line 250 of file itkImageToImageFilter.h.
virtual void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::PushBackInput | ( | const InputImageType * | image | ) | [virtual, inherited] |
Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.
The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.
Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.
void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::PushFrontInput | ( | const DataObject * | input | ) | [inline, protected, virtual, inherited] |
PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.
Reimplemented from itk::ProcessObject.
Definition at line 252 of file itkImageToImageFilter.h.
virtual void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::PushFrontInput | ( | const InputImageType * | image | ) | [virtual, inherited] |
virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff | ( | ) | [virtual, inherited] |
virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn | ( | ) | [virtual, inherited] |
void itk::ProcessObject::ReleaseDataFlagOff | ( | ) | [inline, inherited] |
Definition at line 257 of file itkProcessObject.h.
void itk::ProcessObject::ReleaseDataFlagOn | ( | ) | [inline, inherited] |
Definition at line 256 of file itkProcessObject.h.
virtual void itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::ReleaseInputs | ( | ) | [protected, virtual, inherited] |
InPlaceImageFilter may transfer ownership of the input bulk data to the output object. Once the output object owns the bulk data (done in AllocateOutputs()), the input object must release its hold on the bulk data. ProcessObject::ReleaseInputs() only releases the input bulk data when the user has set the ReleaseDataFlag. InPlaceImageFilter::ReleaseInputs() also releases the input that it has overwritten.
Reimplemented from itk::ProcessObject.
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] |
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::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::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 97 of file itkBinaryFunctorImageFilter.h.
static void itk::Object::SetGlobalWarningDisplay | ( | bool | flag | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().
virtual void itk::InPlaceImageFilter< TInputImage1 , TOutputImage >::SetInPlace | ( | bool | _arg | ) | [virtual, inherited] |
In place operation can be turned on and off. This only has an effect when the input and output image type match.
virtual void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::SetInput | ( | unsigned | int, | |
const TInputImage1 * | image | |||
) | [virtual, inherited] |
virtual void itk::ImageToImageFilter< TInputImage1 , TOutputImage >::SetInput | ( | const InputImageType * | image | ) | [virtual, inherited] |
Set/Get the image input of this process object.
void itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::SetInput1 | ( | const TInputImage1 * | image1 | ) | [inherited] |
Connect one of the operands for pixel-wise addition
void itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::SetInput2 | ( | const TInputImage2 * | image2 | ) | [inherited] |
Connect one of the operands for pixel-wise addition
void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
virtual void itk::ProcessObject::SetNthInput | ( | unsigned int | num, | |
DataObject * | input | |||
) | [protected, virtual, inherited] |
Protected methods for setting inputs. Subclasses make use of them for setting input.
Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetEquivalencyTable(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureImage(), itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetFeatureImage(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >::SetInputEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetInputImage(), itk::watershed::Relabeler< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >::SetInputSegmentTable(), itk::watershed::Relabeler< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>::SetInputSegmentTree(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetReferenceImage(), and itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage().
virtual void itk::ProcessObject::SetNthOutput | ( | unsigned int | num, | |
DataObject * | output | |||
) | [protected, virtual, inherited] |
Protected methods for setting outputs. Subclasses make use of them for getting output.
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< InputImageType::PixelType, 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] |
virtual void itk::ProcessObject::SetNumberOfThreads | ( | int | _arg | ) | [virtual, inherited] |
Get/Set the number of threads to create when executing.
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.
virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag | ( | bool | _arg | ) | [virtual, inherited] |
Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.
virtual void itk::ProcessObject::SetReleaseDataFlag | ( | bool | flag | ) | [virtual, inherited] |
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 int itk::ImageSource< TOutputImage >::SplitRequestedRegion | ( | int | i, | |
int | num, | |||
OutputImageRegionType & | splitRegion | |||
) | [protected, virtual, inherited] |
Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".
void itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::ThreadedGenerateData | ( | const OutputImageRegionType & | outputRegionForThread, | |
int | threadId | |||
) | [protected, virtual, inherited] |
BinaryFunctorImageFilter can be implemented as a multithreaded filter. Therefore, this implementation provides a ThreadedGenerateData() routine which is called for each processing thread. The output image data is allocated automatically by the superclass prior to calling ThreadedGenerateData(). ThreadedGenerateData can only write to the portion of the output image specified by the parameter "outputRegionForThread"
Reimplemented from itk::ImageSource< TOutputImage >.
static ITK_THREAD_RETURN_TYPE itk::ImageSource< TOutputImage >::ThreaderCallback | ( | void * | arg | ) | [static, protected, inherited] |
Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().
virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
virtual void itk::ProcessObject::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 in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageFileWriter< TInputImage >, and itk::ImageSeriesWriter< TInputImage, TOutputImage >.
virtual void itk::ProcessObject::UpdateLargestPossibleRegion | ( | ) | [virtual, inherited] |
Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().
virtual void itk::ProcessObject::UpdateOutputData | ( | DataObject * | output | ) | [virtual, inherited] |
Actually generate new output
Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.
virtual void itk::ProcessObject::UpdateOutputInformation | ( | ) | [virtual, inherited] |
Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.
Reimplemented in itk::watershed::Segmenter< TInputImage >, and itk::VTKImageImport< TOutputImage >.
void itk::ProcessObject::UpdateProgress | ( | float | amount | ) | [inherited] |
Update the progress of the process object.
Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.
TimeStamp itk::ProcessObject::m_OutputInformationMTime [protected, inherited] |
Time when GenerateOutputInformation was last called.
Definition at line 431 of file itkProcessObject.h.
volatile int itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 119 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 122 of file itkLightObject.h.
bool itk::ProcessObject::m_Updating [protected, inherited] |
This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.
Definition at line 428 of file itkProcessObject.h.