Writes image data to a single file with streaming process. More...
#include <otbStreamingImageFileWriter.h>


Public Types | |
| typedef StreamingImageFileWriter | Self |
|
typedef itk::ImageToImageFilter < TInputImage, TInputImage > | Superclass |
| typedef itk::SmartPointer< Self > | Pointer |
|
typedef itk::SmartPointer < const Self > | ConstPointer |
| typedef TInputImage | InputImageType |
| typedef InputImageType::Pointer | InputImagePointer |
| typedef InputImageType::RegionType | InputImageRegionType |
| typedef InputImageType::PixelType | InputImagePixelType |
| typedef TInputImage | OutputImageType |
| typedef OutputImageType::Pointer | OutputImagePointer |
| typedef OutputImageType::RegionType | OutputImageRegionType |
| typedef OutputImageType::PixelType | OutputImagePixelType |
| typedef Superclass::DataObjectPointer | DataObjectPointer |
| typedef StreamingTraits < InputImageType > | StreamingTraitsType |
| typedef itk::ImageRegionSplitter < itkGetStaticConstMacro(InputImageDimension)> | SplitterType |
| typedef SplitterType::Pointer | RegionSplitterPointer |
| typedef StreamingMode | CalculationDivisionEnumType |
|
typedef InputImageType::ConstPointer | InputImageConstPointer |
| typedef std::vector < DataObjectPointer > | DataObjectPointerArray |
| typedef DataObjectPointerArray::size_type | DataObjectPointerArraySizeType |
Public Member Functions | |
| itkNewMacro (Self) | |
| itkTypeMacro (StreamingImageFileWriter, itk::ImageToImageFilter) | |
| itkStaticConstMacro (InputImageDimension, unsigned int, InputImageType::ImageDimension) | |
| void | SetBufferMemorySize (unsigned long) |
| void | SetBufferNumberOfLinesDivisions (unsigned long) |
| void | SetAutomaticNumberOfStreamDivisions (void) |
| void | SetTilingStreamDivisions (void) |
| void | SetTilingStreamDivisions (unsigned long) |
| std::string | GetMethodUseToCalculateNumberOfStreamDivisions (void) |
| void | SetNumberOfStreamDivisions (unsigned long) |
| unsigned long | GetNumberOfStreamDivisions (void) |
| itkSetObjectMacro (RegionSplitter, SplitterType) | |
| itkGetObjectMacro (RegionSplitter, SplitterType) | |
| virtual void | UpdateOutputData (itk::DataObject *itkNotUsed(output)) |
| itkGetStringMacro (FileName) | |
| virtual void | SetFileName (std::string filename) |
| void | SetIORegion (const itk::ImageIORegion ®ion) |
| itkGetConstReferenceMacro (IORegion, itk::ImageIORegion) | |
| itkSetMacro (UseCompression, bool) | |
| itkGetConstReferenceMacro (UseCompression, bool) | |
| itkBooleanMacro (UseCompression) | |
| itkSetMacro (UseInputMetaDataDictionary, bool) | |
| itkGetConstReferenceMacro (UseInputMetaDataDictionary, bool) | |
| itkBooleanMacro (UseInputMetaDataDictionary) | |
| itkSetObjectMacro (ImageIO, itk::ImageIOBase) | |
| itkGetObjectMacro (ImageIO, itk::ImageIOBase) | |
| itkGetConstObjectMacro (ImageIO, itk::ImageIOBase) | |
| itkTypeMacro (ImageToImageFilter, ImageSource) | |
| itkTypeMacro (ImageSource, ProcessObject) | |
| itkTypeMacro (ProcessObject, Object) | |
| itkTypeMacro (Object, LightObject) | |
| itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension) | |
| itkStaticConstMacro (OutputImageDimension, unsigned int, TInputImage::ImageDimension) | |
| virtual void | SetInput (const InputImageType *image) |
| virtual void | SetInput (unsigned int, const TInputImage *image) |
| const InputImageType * | GetInput (void) |
| const InputImageType * | GetInput (unsigned int idx) |
| virtual void | PushBackInput (const InputImageType *image) |
| virtual void | PopBackInput () |
| virtual void | PushFrontInput (const InputImageType *image) |
| virtual void | PopFrontInput () |
| OutputImageType * | GetOutput (void) |
| OutputImageType * | GetOutput (unsigned int idx) |
| virtual void | GraftOutput (DataObject *output) |
| virtual void | GraftNthOutput (unsigned int idx, DataObject *output) |
| virtual DataObjectPointer | MakeOutput (unsigned int idx) |
| DataObjectPointerArray & | GetInputs () |
| DataObjectPointerArraySizeType | GetNumberOfInputs () const |
| virtual DataObjectPointerArraySizeType | GetNumberOfValidRequiredInputs () const |
| DataObjectPointerArray & | GetOutputs () |
| DataObjectPointerArraySizeType | GetNumberOfOutputs () const |
| itkSetMacro (AbortGenerateData, bool) | |
| itkSetMacro (ReleaseDataBeforeUpdateFlag, bool) | |
| itkGetConstReferenceMacro (AbortGenerateData, bool) | |
| itkGetConstReferenceMacro (Progress, float) | |
| itkGetConstReferenceMacro (ReleaseDataBeforeUpdateFlag, bool) | |
| itkGetConstReferenceMacro (NumberOfThreads, int) | |
| itkBooleanMacro (AbortGenerateData) | |
| itkBooleanMacro (ReleaseDataBeforeUpdateFlag) | |
| itkSetClampMacro (Progress, float, 0.0f, 1.0f) | |
| itkSetClampMacro (NumberOfThreads, int, 1, ITK_MAX_THREADS) | |
| void | UpdateProgress (float amount) |
| virtual void | Update () |
| virtual void | UpdateLargestPossibleRegion () |
| virtual void | UpdateOutputInformation () |
| virtual void | PropagateRequestedRegion (DataObject *output) |
| virtual void | UpdateOutputData (DataObject *output) |
| virtual void | EnlargeOutputRequestedRegion (DataObject *itkNotUsed(output)) |
| virtual void | ResetPipeline () |
| virtual void | SetReleaseDataFlag (bool flag) |
| virtual bool | GetReleaseDataFlag () const |
| void | ReleaseDataFlagOn () |
| void | ReleaseDataFlagOff () |
| MultiThreader * | GetMultiThreader () |
| virtual void | PrepareOutputs () |
| virtual LightObject::Pointer | CreateAnother () const |
| virtual void | DebugOn () const |
| virtual void | DebugOff () const |
| bool | GetDebug () const |
| void | SetDebug (bool debugFlag) const |
| virtual unsigned long | GetMTime () const |
| virtual void | Modified () const |
| virtual void | Register () const |
| virtual void | UnRegister () const |
| virtual void | SetReferenceCount (int) |
| unsigned long | AddObserver (const EventObject &event, Command *) |
| unsigned long | AddObserver (const EventObject &event, Command *) const |
| Command * | GetCommand (unsigned long tag) |
| void | InvokeEvent (const EventObject &) |
| void | InvokeEvent (const EventObject &) const |
| void | RemoveObserver (unsigned long tag) |
| void | RemoveAllObservers () |
| bool | HasObserver (const EventObject &event) const |
| MetaDataDictionary & | GetMetaDataDictionary (void) |
| const MetaDataDictionary & | GetMetaDataDictionary (void) const |
| void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
| virtual void | Delete () |
| virtual const char * | GetNameOfClass () const |
| void | Print (std::ostream &os, Indent indent=0) const |
| virtual int | GetReferenceCount () const |
Static Public Member Functions | |
| static Pointer | New () |
| static void | SetGlobalWarningDisplay (bool flag) |
| static bool | GetGlobalWarningDisplay () |
| static void | GlobalWarningDisplayOn () |
| static void | GlobalWarningDisplayOff () |
| static void | BreakOnError () |
Protected Types | |
| typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> | InputToOutputRegionCopierType |
| typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> | OutputToInputRegionCopierType |
| typedef int | InternalReferenceCountType |
Protected Member Functions | |
| void | PrintSelf (std::ostream &os, itk::Indent indent) const |
| void | GenerateData (void) |
| const DataObject * | GetInput (unsigned int idx) const |
| void | PushBackInput (const DataObject *input) |
| void | PushFrontInput (const DataObject *input) |
| virtual void | GenerateInputRequestedRegion () |
| virtual void | CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion) |
| virtual void | CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion) |
| const DataObject * | GetOutput (unsigned int idx) const |
| virtual void | ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId) ITK_NO_RETURN |
| virtual void | AllocateOutputs () |
| virtual void | BeforeThreadedGenerateData () |
| virtual void | AfterThreadedGenerateData () |
| virtual int | SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion) |
| itkSetMacro (NumberOfRequiredInputs, unsigned int) | |
| itkSetMacro (NumberOfRequiredOutputs, unsigned int) | |
| itkGetConstReferenceMacro (NumberOfRequiredInputs, unsigned int) | |
| itkGetConstReferenceMacro (NumberOfRequiredOutputs, unsigned int) | |
| virtual void | SetNthInput (unsigned int num, DataObject *input) |
| virtual void | AddInput (DataObject *input) |
| virtual void | RemoveInput (DataObject *input) |
| void | SetNumberOfInputs (unsigned int num) |
| virtual void | SetNthOutput (unsigned int num, DataObject *output) |
| virtual void | AddOutput (DataObject *output) |
| virtual void | RemoveOutput (DataObject *output) |
| void | SetNumberOfOutputs (unsigned int num) |
| virtual void | GenerateOutputRequestedRegion (DataObject *output) |
| virtual void | GenerateOutputInformation () |
| virtual void | PropagateResetPipeline () |
| virtual void | ReleaseInputs () |
| virtual void | CacheInputReleaseDataFlags () |
| virtual void | RestoreInputReleaseDataFlags () |
| bool | PrintObservers (std::ostream &os, Indent indent) 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 | |
| bool | m_Updating |
| TimeStamp | m_OutputInformationMTime |
| InternalReferenceCountType | m_ReferenceCount |
| SimpleFastMutexLock | m_ReferenceCountLock |
Private Member Functions | |
| StreamingImageFileWriter (const StreamingImageFileWriter &) | |
| void | operator= (const StreamingImageFileWriter &) |
| unsigned long | CalculateNumberOfStreamDivisions (void) |
Private Attributes | |
| unsigned long | m_BufferMemorySize |
| unsigned long | m_BufferNumberOfLinesDivisions |
| unsigned long | m_NumberOfStreamDivisions |
| RegionSplitterPointer | m_RegionSplitter |
| CalculationDivisionEnumType | m_CalculationDivision |
| std::string | m_FileName |
| itk::ImageIOBase::Pointer | m_ImageIO |
| bool | m_UserSpecifiedImageIO |
| itk::ImageIORegion | m_IORegion |
| bool | m_UserSpecifiedIORegion |
| bool | m_FactorySpecifiedImageIO |
| bool | m_UseCompression |
| bool | m_UseInputMetaDataDictionary |
Writes image data to a single file with streaming process.
StreamingImageFileWriter writes its input data to a single output file. StreamingImageFileWriter interfaces with an ImageIO class to write out the data whith streaming process.
StreamingImageFileWriter will divide the output into severalpieces (controlled by SetNumberOfStreamDivisions), and call the upstream pipeline for each piece, tiling the individual outputs into one large output. This reduces the memory footprint for the application since each filter does not have to process the entire dataset at once. StreamingImageFileWriter will write directly the streaming buffer in the image file. The output image is not completely allocated; just streaming size, calculate whith the NumberOfStreamDivisions, is allocate.
BasicFilters/DEMToRainbowExample.cxx, DisparityMap/NCCRegistrationFilterExample.cxx, Fusion/PanSharpeningExample.cxx, and Projections/OrthoRectificationExample.cxx.
Definition at line 51 of file otbStreamingImageFileWriter.h.
| typedef StreamingMode otb::StreamingImageFileWriter< TInputImage >::CalculationDivisionEnumType |
Type use to define number of divisions
Definition at line 172 of file otbStreamingImageFileWriter.h.
| typedef Superclass::DataObjectPointer otb::StreamingImageFileWriter< TInputImage >::DataObjectPointer |
Smart Pointer type to a DataObject.
Reimplemented from itk::ImageSource< TInputImage >.
Definition at line 75 of file otbStreamingImageFileWriter.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 TInputImage otb::StreamingImageFileWriter< TInputImage >::InputImageType |
Some typedefs for the input and output.
Reimplemented from itk::ImageToImageFilter< TInputImage, TInputImage >.
Definition at line 67 of file otbStreamingImageFileWriter.h.
typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> itk::ImageToImageFilter< TInputImage , TInputImage >::InputToOutputRegionCopierType [protected, inherited] |
Typedef for the region copier function object that converts an input region to an output region.
Definition at line 161 of file itkImageToImageFilter.h.
typedef int itk::LightObject::InternalReferenceCountType [protected, inherited] |
Define the type of the reference count according to the target. This allows the use of atomic operations
Definition at line 137 of file itkLightObject.h.
| typedef OutputImageType::RegionType otb::StreamingImageFileWriter< TInputImage >::OutputImageRegionType |
Superclass typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage, TInputImage >.
Definition at line 73 of file otbStreamingImageFileWriter.h.
| typedef TInputImage otb::StreamingImageFileWriter< TInputImage >::OutputImageType |
Some convenient typedefs.
Reimplemented from itk::ImageSource< TInputImage >.
Definition at line 71 of file otbStreamingImageFileWriter.h.
typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> itk::ImageToImageFilter< TInputImage , TInputImage >::OutputToInputRegionCopierType [protected, inherited] |
Typedef for the region copier function object that converts an output region to an input region.
Definition at line 166 of file itkImageToImageFilter.h.
| typedef StreamingImageFileWriter otb::StreamingImageFileWriter< TInputImage >::Self |
Standard class typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage, TInputImage >.
Definition at line 55 of file otbStreamingImageFileWriter.h.
| typedef itk::ImageRegionSplitter<itkGetStaticConstMacro(InputImageDimension)> otb::StreamingImageFileWriter< TInputImage >::SplitterType |
SmartPointer to a region splitting object
Definition at line 85 of file otbStreamingImageFileWriter.h.
| typedef StreamingTraits<InputImageType> otb::StreamingImageFileWriter< TInputImage >::StreamingTraitsType |
Streaming traits helper typedef
Definition at line 78 of file otbStreamingImageFileWriter.h.
| void itk::ProcessObject::AddInput | ( | DataObject * | input | ) | [protected, virtual, inherited] |
Adds an input to the first null position in the input list. Expands the list memory if necessary
Definition at line 144 of file itkProcessObject.cxx.
00145 { 00146 DataObjectPointerArraySizeType idx; 00147 00148 this->Modified(); 00149 00150 for (idx = 0; idx < m_Inputs.size(); ++idx) 00151 { 00152 if (!m_Inputs[idx]) 00153 { 00154 m_Inputs[idx] = input; 00155 return; 00156 } 00157 } 00158 00159 this->SetNumberOfInputs( static_cast<int>( m_Inputs.size() + 1 ) ); 00160 m_Inputs[ static_cast<int>( m_Inputs.size() ) - 1] = input; 00161 }
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | cmd | |||
| ) | [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
Definition at line 389 of file itkObject.cxx.
Referenced by itk::ProgressAccumulator::RegisterInternalFilter(), and otb::WriterWatcherBase::WriterWatcherBase().
00390 { 00391 if (!this->m_SubjectImplementation) 00392 { 00393 this->m_SubjectImplementation = new SubjectImplementation; 00394 } 00395 return this->m_SubjectImplementation->AddObserver(event,cmd); 00396 }
| void itk::ProcessObject::AddOutput | ( | DataObject * | output | ) | [protected, virtual, inherited] |
Adds an output to the first null position in the output list. Expands the list memory if necessary
Definition at line 390 of file itkProcessObject.cxx.
References itk::DataObject::ConnectSource().
00391 { 00392 unsigned int idx; 00393 00394 for (idx = 0; idx < m_Outputs.size(); ++idx) 00395 { 00396 if ( m_Outputs[idx].IsNull() ) 00397 { 00398 m_Outputs[idx] = output; 00399 00400 if (output) 00401 { 00402 output->ConnectSource(this, idx); 00403 } 00404 this->Modified(); 00405 00406 return; 00407 } 00408 } 00409 00410 this->SetNumberOfOutputs( static_cast<int>( m_Outputs.size() ) + 1); 00411 m_Outputs[ static_cast<int>( m_Outputs.size() ) - 1] = output; 00412 if (output) 00413 { 00414 output->ConnectSource(this, static_cast<int>( m_Outputs.size() ) - 1 ); 00415 } 00416 this->Modified(); 00417 }
| virtual void itk::ImageSource< TInputImage >::AfterThreadedGenerateData | ( | void | ) | [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::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::ShiftScaleInPlaceImageFilter< TInputImage >, itk::StatisticsImageFilter< TInputImage >, and itk::LabelMapFilter< TInputImage, TInputImage >.
Definition at line 264 of file itkImageSource.h.
| virtual void itk::ImageSource< TInputImage >::AllocateOutputs | ( | ) | [protected, virtual, inherited] |
The GenerateData method normally allocates the buffers for all of the outputs of a filter. Some filters may want to override this default behavior. For example, a filter may have multiple outputs with varying resolution. Or a filter may want to process data in place by grafting its input to its output.
Reimplemented in otb::BoxAndWhiskerImageFilter< TInputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::StatisticsImageFilter< TInputImage >, itk::InPlaceLabelMapFilter< TInputImage >, and itk::InPlaceImageFilter< TInputImage >.
| virtual void itk::ImageSource< TInputImage >::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::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::ShiftScaleInPlaceImageFilter< TInputImage >, itk::StatisticsImageFilter< TInputImage >, and itk::LabelMapFilter< TInputImage, TInputImage >.
Definition at line 252 of file itkImageSource.h.
| void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
Definition at line 149 of file itkLightObject.cxx.
| 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().
Definition at line 1050 of file itkProcessObject.cxx.
01051 { 01052 unsigned int idx; 01053 01054 m_CachedInputReleaseDataFlags.resize( m_Inputs.size() ); 01055 for (idx = 0; idx < m_Inputs.size(); ++idx) 01056 { 01057 if (m_Inputs[idx]) 01058 { 01059 m_CachedInputReleaseDataFlags[idx]=m_Inputs[idx]->GetReleaseDataFlag(); 01060 m_Inputs[idx]->ReleaseDataFlagOff(); 01061 } 01062 else 01063 { 01064 m_CachedInputReleaseDataFlags[idx] = false; 01065 } 01066 } 01067 }
| unsigned long otb::StreamingImageFileWriter< TInputImage >::CalculateNumberOfStreamDivisions | ( | void | ) | [inline, private] |
This method calculate the number of stream divisions, by using the CalculationDivision type
Definition at line 260 of file otbStreamingImageFileWriter.txx.
00261 { 00262 00263 return StreamingTraitsType 00264 ::CalculateNumberOfStreamDivisions(this->GetInput(), 00265 this->GetInput()->GetLargestPossibleRegion(), 00266 m_RegionSplitter, 00267 m_CalculationDivision, 00268 m_NumberOfStreamDivisions, 00269 m_BufferMemorySize, 00270 m_BufferNumberOfLinesDivisions); 00271 }
| virtual void itk::ImageToImageFilter< TInputImage , TInputImage >::CallCopyInputRegionToOutputRegion | ( | OutputImageRegionType & | destRegion, | |
| const InputImageRegionType & | srcRegion | |||
| ) | [protected, virtual, inherited] |
This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.
This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.
The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.
For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.
If a filter needs a different default behavior, it can override this method.
| virtual void itk::ImageToImageFilter< TInputImage , TInputImage >::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).
| 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.
Definition at line 231 of file itkObject.cxx.
References itk::SmartPointer< TObjectType >::GetPointer(), and itk::Object::New().
00232 { 00233 return Object::New().GetPointer(); 00234 }
| void itk::Object::DebugOff | ( | ) | const [virtual, inherited] |
Turn debugging output off.
Definition at line 253 of file itkObject.cxx.
00254 { 00255 m_Debug = false; 00256 }
| void itk::Object::DebugOn | ( | ) | const [virtual, inherited] |
Turn debugging output on.
Definition at line 242 of file itkObject.cxx.
00243 { 00244 m_Debug = true; 00245 }
| 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.
Delete a 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.
Definition at line 88 of file itkLightObject.cxx.
00089 { 00090 this->UnRegister(); 00091 }
| virtual void itk::ProcessObject::EnlargeOutputRequestedRegion | ( | DataObject * | itkNotUsedoutput | ) | [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 otb::MorphologicalPyramid::Resampler< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::DoubleThresholdImageFilter< 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::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::AttributeRelabelImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryFillholeImageFilter< TInputImage >, itk::BinaryGrindPeakImageFilter< TInputImage >, itk::BinaryReconstructionByDilationImageFilter< TInputImage >, itk::BinaryReconstructionByErosionImageFilter< TInputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::LabelAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::LabelAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >, itk::LabelMapOverlayImageFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapToAttributeImageFilter< TInputImage, TOutputImage, TAttributeAccessor >, itk::LabelReconstructionByDilationImageFilter< TInputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, 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 224 of file itkProcessObject.h.
| void otb::StreamingImageFileWriter< TInputImage >::GenerateData | ( | void | ) | [inline, protected, virtual] |
Does the real work.
Reimplemented from itk::ImageSource< TInputImage >.
Definition at line 583 of file otbStreamingImageFileWriter.txx.
00584 { 00585 // otbGenericMsgDebugMacro(<< "TEST GenerateData"); 00586 00587 const InputImageType * input = this->GetInput(); 00588 00589 // Make sure that the image is the right type and no more than 00590 // four components. 00591 typedef typename InputImageType::PixelType ScalarType; 00592 00593 if ( strcmp( input->GetNameOfClass(), "VectorImage" ) == 0 ) 00594 { 00595 typedef typename InputImageType::InternalPixelType VectorImageScalarType; 00596 m_ImageIO->SetPixelTypeInfo( typeid(VectorImageScalarType) ); 00597 00598 typedef typename InputImageType::AccessorFunctorType AccessorFunctorType; 00599 m_ImageIO->SetNumberOfComponents( AccessorFunctorType::GetVectorLength(input) ); 00600 } 00601 else 00602 { 00603 // Set the pixel and component type; the number of components. 00604 m_ImageIO->SetPixelTypeInfo(typeid(ScalarType)); 00605 } 00606 00607 // Setup the image IO for writing. 00608 // 00609 //okay, now extract the data as a raw buffer pointer 00610 const void* dataPtr = (const void*) input->GetBufferPointer(); 00611 m_ImageIO->Write(dataPtr); 00612 00613 }
| virtual void itk::ImageToImageFilter< TInputImage , TInputImage >::GenerateInputRequestedRegion | ( | void | ) | [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.
Reimplemented in otb::StreamingImageVirtualWriter< TInputImage >, itk::ChangeInformationImageFilter< TInputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::StatisticsImageFilter< TInputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::AttributeRelabelImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryClosingByReconstructionImageFilter< TInputImage, TKernel >, itk::BinaryFillholeImageFilter< TInputImage >, itk::BinaryGrindPeakImageFilter< TInputImage >, itk::BinaryOpeningByReconstructionImageFilter< TInputImage, TKernel >, itk::BinaryReconstructionByDilationImageFilter< TInputImage >, itk::BinaryReconstructionByErosionImageFilter< TInputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::LabelAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::LabelAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::LabelReconstructionByDilationImageFilter< TInputImage >, and itk::LabelMapFilter< TInputImage, TInputImage >.
| void itk::ProcessObject::GenerateOutputInformation | ( | void | ) | [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.
Default implementation - copy information from first input to all outputs
Reimplemented in otb::BoxAndWhiskerImageFilter< TInputImage >, otb::ChangeLabelImageFilter< TInputImage, TOutputImage >, otb::DecimateImageFilter< TInputImage, TOutputImage >, otb::EstimateInnerProductPCAImageFilter< TInputImage, TOutputImage >, otb::ImageAndVectorImageOperationFilter< TInputImage, TVectorInputImage, TOutputImage >, otb::ImageListToImageListApplyFilter< TInputImageList, TOutputImageList, TFilter >, otb::ImageListToVectorImageFilter< TImageList, TVectorImage >, otb::ImageToPointSetFilter< TInputImage, TOutputPointSet >, otb::ImportGeoInformationImageFilter< TImage, TSourceImage >, otb::ImportImageFilter< TOutputImageType >, otb::ImportVectorImageFilter< TOutputImageType >, otb::InnerProductPCAImageFilter< TInputImage, TOutputImage >, otb::NormalizeInnerProductPCAImageFilter< TInputImage, TOutputImage >, otb::PerBandVectorImageFilter< TInputImage, TOutputImage, TFilter >, otb::PointSetToDensityImageFilter< TInputPointSet, TOutputImage >, otb::SpatialObjectToImageDrawingFilter< TInputSpatialObject, TOutputImage >, otb::PersistentInnerProductVectorImageFilter< TInputImage >, otb::PersistentMatrixTransposeMatrixImageFilter< TInputImage, TInputImage2 >, otb::StreamingShrinkImageFilter< TInputImage, TOutputImage >, otb::PersistentStatisticsImageFilter< TInputImage >, otb::PersistentStatisticsVectorImageFilter< TInputImage >, otb::SubsampleImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, otb::UnaryImageFunctorWithVectorImageFilter< TInputImage, TOutputImage, TFunction >, otb::VectorImageTo3DScalarImageFilter< TInputImage, TOutputImage >, otb::VectorImageToImageListFilter< TVectorImageType, TImageList >, otb::VectorRescaleIntensityImageFilter< TInputImage, TOutputImage >, otb::BinaryFunctorNeighborhoodVectorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >, otb::ConcatenateVectorImageFilter< TInputImage1, TInputImage2, TOutputImage >, otb::DifferenceImageFilter< TInputImage, TOutputImage >, otb::ExtractROI< TInputPixel, TOutputPixel >, otb::ExtractROIBase< TInputImage, TOutputImage >, otb::GISTableToLabelMapFilter< TGISTable, TLabelMap >, otb::ImageOfVectorsToMonoChannelExtractROI< TInputImage, TOutputImage >, otb::ImageToVectorImageCastFilter< TInputImage, TOutputVectorImage >, otb::MultiChannelExtractROI< TInputPixelType, TOutputPixelType >, otb::MultiToMonoChannelExtractROI< TInputPixelType, TOutputPixelType >, otb::QuickLookImageGenerator< TInputImage, TOutputImage >, otb::VectorDataToImageFilter< TVectorData, TImage >, otb::VectorDataToLabelMapFilter< TVectorData, TLabelMap >, otb::BSplinesInterpolateTransformDeformationFieldGenerator< TPointSet, TDeformationField >, otb::PointSetToDeformationFieldGenerator< TPointSet, TDeformationField >, otb::AddCarvingPathFilter< TInputImage, TInputPath, TOutputImage >, otb::ForwardFourierMellinTransformImageFilter< TPixel, TInterpol, Dimension >, otb::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, otb::ImageToCarvingPathFilter< TInputImage, TOutputPath >, otb::ImageToEdgePathFilter< TInputImage, TOutputPath >, otb::PersistentLineSegmentDetector< TInputImage, TPrecision >, otb::ImageToPathListAlignFilter< TInputImage, TOutputPath >, otb::LineSpatialObjectListToRightAnglePointSetFilter< TImage, TLinesList, TPointSet >, otb::RegionImageToRectangularPathListFilter< TInputImage, TOutputPath >, otb::RemoveCarvingPathFilter< TInputImage, TInputPath, TOutputImage >, otb::SFSTexturesImageFilter< TInputImage, TOutputImage >, otb::DEMToImageGenerator< TDEMImage >, otb::DEMToOrthoImageGenerator< TDEMImage, TMapProjection >, otb::ImageFileReader< TOutputImage >, otb::PointSetFileReader< TOutputPointSet >, otb::VectorDataFileReader< TOutputVectorData >, otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >, otb::ROIdataConversion< TInputImage, TInputROIImage >, otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >, otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >, otb::SVMImageClassificationWithRuleFilter< TInputImage, TOutputImage, TMaskImage >, otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >, otb::GeodesicMorphologyIterativeDecompositionImageFilter< TImage, TStructuringElement >, otb::ImageToProfileFilter< TInputImage, TOutputImage, TFilter, TParameter >, otb::MorphologicalPyramidAnalysisFilter< TInputImage, TOutputImage, TMorphoFilter >, otb::MorphologicalPyramid::Resampler< TInputImage, TOutputImage >, otb::MorphologicalPyramidSegmentationFilter< TInputImage, TOutputImage >, otb::MorphologicalPyramidSynthesisFilter< TInputImage, TOutputImage >, otb::ProfileDerivativeToMultiScaleCharacteristicsFilter< TInputImage, TOutputImage, TLabeledImage >, otb::ProfileToProfileDerivativeFilter< TInputImage, TOutputImage >, otb::WaveletFilterBank< TInputImage, TOutputImage, TWaveletOperator, FORWARD >, otb::WaveletFilterBank< TInputImage, TOutputImage, TWaveletOperator, INVERSE >, otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >, otb::WaveletTransform< TInputImage, TOutputImage, TFilter, INVERSE >, otb::GCPsToRPCSensorModelImageFilter< TImage >, otb::OrthoRectificationFilter< TInputImage, TOutputImage, TMapProjection, TInterpolatorPrecision >, otb::VectorDataProjectionFilter< TInputVectorData, TOutputVectorData >, otb::ReflectanceToSurfaceReflectanceImageFilter< TInputImage, TOutputImage >, otb::SurfaceAdjencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, otb::MultiChannelsPolarimetricSynthesisFilter< TInputImage, TOutputImage, TFunction >, otb::PolarimetricSynthesisFilter< TInputImageHH, TInputImageHV, TInputImageVH, TInputImageVV, TOutputImage, TFunction >, otb::ImageToGrayscaleAnaglyphImageFilter< TInputImage1, TInputImage2, TOutputImage >, otb::VectorImageToColorAnaglyphVectorImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, 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::ImageToVectorImageFilter< TInputImage >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< 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::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, 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::AutoCropLabelMapFilter< TInputImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::CropLabelMapFilter< TInputImage >, itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >, itk::FFTComplexToComplexImageFilter< TPixel, NDimension >, itk::GridImageSource< TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::PadLabelMapFilter< TInputImage >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >, itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >, otb::UnaryImageFunctorWithVectorImageFilter< TInputImage, TOutputImage, ITK_TYPENAME Functor::ImageToLuminanceImageFunctor< ITK_TYPENAME TInputImage::InternalPixelType, ITK_TYPENAME TOutputImage::InternalPixelType > >, otb::UnaryImageFunctorWithVectorImageFilter< TInputImage, TOutputImage, ITK_TYPENAME Functor::ImageToReflectanceImageFunctor< ITK_TYPENAME TInputImage::InternalPixelType, ITK_TYPENAME TOutputImage::InternalPixelType > >, otb::UnaryImageFunctorWithVectorImageFilter< TInputImage, TOutputImage, ITK_TYPENAME Functor::ReflectanceToSurfaceReflectanceImageFunctor< ITK_TYPENAME TInputImage::InternalPixelType, ITK_TYPENAME TOutputImage::InternalPixelType > >, otb::UnaryImageFunctorWithVectorImageFilter< TInputImage, TOutputImage, ITK_TYPENAME Functor::LuminanceToReflectanceImageFunctor< ITK_TYPENAME TInputImage::InternalPixelType, ITK_TYPENAME TOutputImage::InternalPixelType > >, otb::BinaryFunctorNeighborhoodVectorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::KullbackLeiblerProfile< itk::ConstNeighborhoodIterator< TInputImage1 >, itk::ConstNeighborhoodIterator< TInputImage2 >, TOutputImage::PixelType > >, otb::ExtractROIBase< VectorImage< TInputPixelType, 2 >, VectorImage< TOutputPixelType, 2 > >, otb::ExtractROIBase< Image< TInputPixel, 2 >, Image< TOutputPixel, 2 > >, otb::ExtractROIBase< VectorImage< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, otb::ImageToProfileFilter< TInputImage, TOutputImage, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TStructuringElement >, unsigned int >, otb::ImageToProfileFilter< TInputImage, TOutputImage, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TStructuringElement >, unsigned int >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< ITK_TYPENAME TInputImage::PixelType, TAccumulate > >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecision >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecision >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< ITK_TYPENAME TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SubtractConstantFrom< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::HessianToScalar< ITK_TYPENAME TInputImage::PixelType, ITK_TYPENAME TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorAffineTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputVectorImage, TOutputImage, TFunction >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputVectorImage, Functor::VectorCast< TInputImage::PixelType, TOutputVectorImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::RenderingFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, ITK_TYPENAME Functor::TerraSarBrightnessFunctor< ITK_TYPENAME itk::NumericTraits< ITK_TYPENAME TInputImage::InternalPixelType >::ValueType, ITK_TYPENAME itk::NumericTraits< ITK_TYPENAME TOutputImage::InternalPixelType >::ValueType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorToAmplitudeFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByScalar< ITK_TYPENAME TInputImage::PixelType, ITK_TYPENAME TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TImage, TImage, Functor::Cast< TImage::PixelType, TImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SOMbasedImageFilterFunctor< TInputImage::PixelType, TOutputImage::PixelType, TDistanceMetric, TMap > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TImage, TImage, Functor::BinaryNot< TImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::ImageFileReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, and itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >.
Definition at line 1095 of file itkProcessObject.cxx.
Referenced by itk::FFTComplexToComplexImageFilter< TPixel, NDimension >::GenerateOutputInformation(), itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >::GenerateOutputInformation(), and itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >::GenerateOutputInformation().
01096 { 01097 DataObjectPointer input, output; 01098 01099 if (m_Inputs.size() && m_Inputs[0]) 01100 { 01101 input = m_Inputs[0]; 01102 01103 for (unsigned int idx = 0; idx < m_Outputs.size(); ++idx) 01104 { 01105 output = this->GetOutput(idx); 01106 if (output) 01107 { 01108 output->CopyInformation(input); 01109 } 01110 } 01111 } 01112 }
| 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.
By default we set all the output requested regions to be the same.
Reimplemented in itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::Segmenter< InputImageType >, and itk::watershed::SegmentTreeGenerator< ScalarType >.
Definition at line 846 of file itkProcessObject.cxx.
00847 { 00848 DataObjectPointerArraySizeType idx; 00849 for (idx = 0; idx < m_Outputs.size(); ++idx) 00850 { 00851 if (m_Outputs[idx] && m_Outputs[idx] != output) 00852 { 00853 m_Outputs[idx]->SetRequestedRegion(output); 00854 } 00855 } 00856 }
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.
Definition at line 414 of file itkObject.cxx.
References itk::Object::GetCommand().
Referenced by itk::Object::GetCommand().
00415 { 00416 if (this->m_SubjectImplementation) 00417 { 00418 return this->m_SubjectImplementation->GetCommand(tag); 00419 } 00420 return NULL; 00421 }
| bool itk::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
Definition at line 264 of file itkObject.cxx.
00265 { 00266 return m_Debug; 00267 }
| bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
Get the value of the global debug output control flag.
Definition at line 381 of file itkObject.cxx.
00382 { 00383 return m_GlobalWarningDisplay; 00384 }
| const InputImageType* itk::ImageToImageFilter< TInputImage , TInputImage >::GetInput | ( | unsigned int | idx | ) | [inherited] |
Method used internally for getting an input.
Reimplemented from itk::ProcessObject.
Reimplemented in otb::StreamingImageVirtualWriter< TInputImage >.
| 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.
00109 {return m_Inputs;}
| const MetaDataDictionary & itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
Definition at line 543 of file itkObject.cxx.
00544 { 00545 if(m_MetaDataDictionary==NULL) 00546 { 00547 m_MetaDataDictionary=new MetaDataDictionary; 00548 } 00549 return *m_MetaDataDictionary; 00550 }
| MetaDataDictionary & itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
Definition at line 532 of file itkObject.cxx.
Referenced by itk::Brains2MaskImageIO::CanReadFile(), otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), otb::Image< TPixel, VImageDimension >::CopyInformation(), itk::GDCMImageIO::GetPatientName(), itk::GDCMImageIO::GetValueFromTag(), otb::GDALImageIO::InternalReadImageInformation(), otb::GDALImageIO::InternalWriteImageInformation(), otb::VectorImage< TPixel, VImageDimension >::PrintSelf(), otb::Image< TPixel, VImageDimension >::PrintSelf(), itk::DICOMImageIO2::Read(), itk::DICOMImageIO2::ReadImageInformation(), itk::VoxBoCUBImageIO::ReadImageInformation(), itk::MetaImageIO::ReadImageInformation(), itk::AnalyzeImageIO::ReadImageInformation(), itk::IPLCommonImageIO::ReadImageInformation(), itk::PhilipsRECImageIO::ReadImageInformation(), itk::Bruker2DSEQImageIO::ReadImageInformation(), itk::NrrdImageIO::ReadImageInformation(), itk::GDCMImageIO::Write(), itk::NrrdImageIO::Write(), and itk::PolygonGroupSpatialObjectXMLFileWriter::WriteFile().
00533 { 00534 if(m_MetaDataDictionary==NULL) 00535 { 00536 m_MetaDataDictionary=new MetaDataDictionary; 00537 } 00538 return *m_MetaDataDictionary; 00539 }
| std::string otb::StreamingImageFileWriter< TInputImage >::GetMethodUseToCalculateNumberOfStreamDivisions | ( | void | ) | [inline] |
Return the string to indicate the method use to calculate number of stream divisions.
Definition at line 168 of file otbStreamingImageFileWriter.txx.
00169 { 00170 return (StreamingTraitsType::GetMethodUseToCalculateNumberOfStreamDivisions(m_CalculationDivision)); 00171 }
Return this objects modified time.
Return the modification for this object.
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::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecision >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecision >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< VDimension >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Definition at line 286 of file itkObject.cxx.
Referenced by itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::SpatialObject< TDimension >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), itk::VTKImageExportBase::PipelineModifiedCallback(), and itk::ProcessObject::UpdateOutputInformation().
00287 { 00288 return m_MTime.GetMTime(); 00289 }
| MultiThreader* itk::ProcessObject::GetMultiThreader | ( | ) | [inline, inherited] |
Return the multithreader used by this class.
Definition at line 280 of file itkProcessObject.h.
00281 {return m_Threader;}
| virtual const char* itk::LightObject::GetNameOfClass | ( | ) | const [inline, virtual, inherited] |
Return the name of this class as a string. Used by the object factory (implemented in New()) to instantiate objects of a named type. Also used for debugging and other output information.
Definition at line 80 of file itkLightObject.h.
Referenced by itk::XMLFilterWatcher::EndFilter(), otb::LeeImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion(), otb::TouziEdgeDetectorImageFilter< TInputImage, TOutputImage, TOutputImageDirection >::GenerateInputRequestedRegion(), otb::FrostImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion(), otb::PixelSuppressionByDirectionImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion(), itk::ImageFileReader< TOutputImage, ConvertPixelTraits >::GenerateOutputInformation(), otb::VectorDataFileReader< TOutputVectorData >::GenerateOutputInformation(), otb::ImageFileReader< TOutputImage >::GenerateOutputInformation(), itk::SpatialObject< TDimension >::GetSpatialObjectTypeAsString(), itk::LBFGSBOptimizer::GetStopConditionDescription(), itk::LBFGSOptimizer::GetStopConditionDescription(), itk::SPSAOptimizer::GetStopConditionDescription(), itk::AnalyzeImageIO::ReadImageInformation(), itk::IPLCommonImageIO::ReadImageInformation(), itk::PhilipsRECImageIO::ReadImageInformation(), itk::Bruker2DSEQImageIO::ReadImageInformation(), itk::NrrdImageIO::ReadImageInformation(), itk::XMLFilterWatcher::StartFilter(), otb::StreamingImageFileWriter< TInputImage >::UpdateOutputData(), otb::VectorDataFileWriter< TInputVectorData >::Write(), and itk::ImageFileWriter< TInputImage >::Write().
| 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.
Referenced by otb::ModulusAndDirectionImageToImageFilter< TInputImage, TInputImageDirection, TOutputImage >::GetInput(), and otb::ModulusAndDirectionImageToImageFilter< TInputImage, TInputImageDirection, TOutputImage >::GetInputDirection().
00119 {return m_Inputs.size();}
| unsigned long otb::StreamingImageFileWriter< TInputImage >::GetNumberOfStreamDivisions | ( | void | ) | [inline] |
Get the number of pieces to divide the input. The upstream pipeline will be executed this many times.
Definition at line 157 of file otbStreamingImageFileWriter.txx.
00158 { 00159 return(CalculateNumberOfStreamDivisions()); 00160 }
| ProcessObject::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.
Get the number of specified inputs
Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.
Definition at line 112 of file itkProcessObject.cxx.
00113 { 00114 DataObjectPointerArraySizeType num; 00115 if (m_NumberOfRequiredInputs < m_Inputs.size()) 00116 { 00117 num = m_NumberOfRequiredInputs; 00118 } 00119 else 00120 { 00121 num = m_Inputs.size(); 00122 } 00123 // count the number of non-null inputs 00124 // this used to use std::count_if, but that function object 00125 // did not work correctly with SunPro CC 5.6. 00126 int count = 0; 00127 for(std::vector<DataObjectPointer>::const_iterator i = m_Inputs.begin(); 00128 i < (m_Inputs.begin() + num); ++i) 00129 { 00130 if((*i).IsNotNull()) 00131 { 00132 count++; 00133 } 00134 } 00135 return count; 00136 }
| OutputImageType* itk::ImageSource< TInputImage >::GetOutput | ( | unsigned int | idx | ) | [inherited] |
Method used internally for getting an output.
Reimplemented from itk::ProcessObject.
| OutputImageType* itk::ImageSource< TInputImage >::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();
(In the above example, the two lines of code can be in either order.)
Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.
For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.
For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.
| 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.
00134 { return m_Outputs; }
| virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 105 of file itkLightObject.h.
00106 {return static_cast<int>(m_ReferenceCount);}
| virtual void itk::ImageSource< TInputImage >::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< TInputImage >::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.
Definition at line 467 of file itkObject.cxx.
00468 { 00469 if (this->m_SubjectImplementation) 00470 { 00471 return this->m_SubjectImplementation->HasObserver(event); 00472 } 00473 return false; 00474 }
| void itk::Object::InvokeEvent | ( | const EventObject & | event | ) | const [inherited] |
Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.
Definition at line 457 of file itkObject.cxx.
00458 { 00459 if (this->m_SubjectImplementation) 00460 { 00461 this->m_SubjectImplementation->InvokeEvent(event,this); 00462 } 00463 }
| void itk::Object::InvokeEvent | ( | const EventObject & | event | ) | [inherited] |
Call Execute on all the Commands observing this event id.
Definition at line 446 of file itkObject.cxx.
Referenced by itk::VTKImageExportBase::UpdateDataCallback().
00447 { 00448 if (this->m_SubjectImplementation) 00449 { 00450 this->m_SubjectImplementation->InvokeEvent(event,this); 00451 } 00452 }
| itk::ProcessObject::itkBooleanMacro | ( | AbortGenerateData | ) | [inherited] |
Turn on and off the AbortGenerateData flag.
| itk::ProcessObject::itkGetConstReferenceMacro | ( | Progress | , | |
| float | ||||
| ) | [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.
| itk::ProcessObject::itkGetConstReferenceMacro | ( | AbortGenerateData | , | |
| bool | ||||
| ) | [inherited] |
Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| otb::StreamingImageFileWriter< TInputImage >::itkGetObjectMacro | ( | RegionSplitter | , | |
| SplitterType | ||||
| ) |
Get the helper class for dividing the input into chunks.
| otb::StreamingImageFileWriter< TInputImage >::itkGetStringMacro | ( | FileName | ) |
ImageFileWriter Methods Specify the name of the output file to write.
| otb::StreamingImageFileWriter< TInputImage >::itkNewMacro | ( | Self | ) |
Method for creation through the object factory.
| itk::ProcessObject::itkSetClampMacro | ( | NumberOfThreads | , | |
| int | , | |||
| 1 | , | |||
| ITK_MAX_THREADS | ||||
| ) | [inherited] |
Get/Set the number of threads to create when executing.
| itk::ProcessObject::itkSetClampMacro | ( | Progress | , | |
| float | , | |||
| 0. | 0f, | |||
| 1. | 0f | |||
| ) | [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.
| itk::ProcessObject::itkSetMacro | ( | ReleaseDataBeforeUpdateFlag | , | |
| bool | ||||
| ) | [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.
| itk::ProcessObject::itkSetMacro | ( | AbortGenerateData | , | |
| bool | ||||
| ) | [inherited] |
Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| otb::StreamingImageFileWriter< TInputImage >::itkSetMacro | ( | UseInputMetaDataDictionary | , | |
| bool | ||||
| ) |
By default the MetaDataDictionary is taken from the input image and passed to the ImageIO. In some cases, however, a user may prefer to introduce her/his own MetaDataDictionary. This is often the case of the ImageSeriesWriter. This flag defined whether the MetaDataDictionary to use will be the one from the input image or the one already set in the ImageIO object.
| otb::StreamingImageFileWriter< TInputImage >::itkSetMacro | ( | UseCompression | , | |
| bool | ||||
| ) |
Set the compression On or Off
| otb::StreamingImageFileWriter< TInputImage >::itkSetObjectMacro | ( | RegionSplitter | , | |
| SplitterType | ||||
| ) |
Set the helper class for dividing the input into chunks.
| itk::ImageToImageFilter< TInputImage , TInputImage >::itkStaticConstMacro | ( | OutputImageDimension | , | |
| unsigned | int, | |||
| TInputImage ::ImageDimension | ||||
| ) | [inherited] |
ImageDimension constant
Reimplemented from itk::ImageSource< TInputImage >.
Reimplemented in itk::MinimumMaximumImageFilter< TInputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::AttributeRelabelImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryReconstructionByDilationImageFilter< TInputImage >, itk::BinaryReconstructionByErosionImageFilter< TInputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::LabelAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::LabelAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::LabelReconstructionByDilationImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage >, and itk::LabelMapFilter< TInputImage, TInputImage >.
| itk::ImageToImageFilter< TInputImage , TInputImage >::itkStaticConstMacro | ( | InputImageDimension | , | |
| unsigned | int, | |||
| TInputImage ::ImageDimension | ||||
| ) | [inherited] |
ImageDimension constants
Reimplemented in itk::MinimumMaximumImageFilter< TInputImage >, itk::AutoCropLabelMapFilter< TInputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::CropLabelMapFilter< TInputImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::PadLabelMapFilter< TInputImage >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::AttributeRelabelImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::BinaryFillholeImageFilter< TInputImage >, itk::BinaryGrindPeakImageFilter< TInputImage >, itk::BinaryReconstructionByDilationImageFilter< TInputImage >, itk::BinaryReconstructionByErosionImageFilter< TInputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::LabelAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::LabelAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::LabelReconstructionByDilationImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage >, and itk::LabelMapFilter< TInputImage, TInputImage >.
| otb::StreamingImageFileWriter< TInputImage >::itkStaticConstMacro | ( | InputImageDimension | , | |
| unsigned | int, | |||
| InputImageType::ImageDimension | ||||
| ) |
Dimension of input image.
| itk::Object::itkTypeMacro | ( | Object | , | |
| LightObject | ||||
| ) | [inherited] |
Standard part of all itk objects.
| itk::ProcessObject::itkTypeMacro | ( | ProcessObject | , | |
| Object | ||||
| ) | [inherited] |
Run-time type information (and related methods).
Reimplemented in itk::MRFImageFilter< TInputImage, TClassifiedImage >.
| itk::ImageSource< TInputImage >::itkTypeMacro | ( | ImageSource< TInputImage > | , | |
| ProcessObject | ||||
| ) | [inherited] |
Run-time type information (and related methods).
| itk::ImageToImageFilter< TInputImage , TInputImage >::itkTypeMacro | ( | ImageToImageFilter< TInputImage, TInputImage > | , | |
| ImageSource | ||||
| ) | [inherited] |
Run-time type information (and related methods).
| otb::StreamingImageFileWriter< TInputImage >::itkTypeMacro | ( | StreamingImageFileWriter< TInputImage > | , | |
| itk::ImageToImageFilter | ||||
| ) |
Run-time type information (and related methods).
| virtual DataObjectPointer itk::ImageSource< TInputImage >::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::MinimumMaximumImageFilter< TInputImage >, and itk::StatisticsImageFilter< TInputImage >.
| void itk::Object::Modified | ( | void | ) | 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.
Make sure this object's modified time is greater than all others.
Reimplemented in otb::GenericInterpolateImageFunction< TInputImage, TFunction, TBoundaryCondition, TCoordRep >, otb::PolyLineParametricPathWithValue< TValue, VDimension >, otb::SVMModel< TValue, TLabel >, otb::GenericRSTransform< TScalarType, NInputDimensions, NOutputDimensions >, otb::SurfaceAdjencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, otb::TerraSarCalibrationImageFilter< TInputImage, TOutputImage >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
Definition at line 297 of file itkObject.cxx.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), otb::ImageWidget< TInputImage >::LinearInterpolationOn(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetAutoMinMax(), otb::BlendingImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetBlendingFunction(), otb::ImageLayerGenerator< TImageLayer >::SetBlendingFunction(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::LBFGSBOptimizer::SetCostFunction(), itk::ImageIOBase::SetDimensions(), itk::ImageIOBase::SetDirection(), itk::Statistics::ScalarImageTextureCalculator< TImageType, THistogramFrequencyContainer >::SetImageMask(), itk::Statistics::ScalarImageTextureCalculator< TImageType, THistogramFrequencyContainer >::SetInput(), itk::GDCMSeriesFileNames::SetInputDirectory(), otb::HistogramStatisticsFunction< TInputHistogram, TOutput >::SetInputHistogram(), itk::Statistics::ScalarImageTextureCalculator< TImageType, THistogramFrequencyContainer >::SetInsidePixelValue(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetInsidePixelValue(), otb::Function::RenderingFunction< TPixel, TRGBPixel >::SetListSample(), itk::Similarity2DTransform< TScalarType >::SetMatrix(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::Rigid2DTransform< TScalarType >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::Statistics::ScalarImageTextureCalculator< TImageType, THistogramFrequencyContainer >::SetNumberOfBinsPerAxis(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetNumberOfBinsPerAxis(), itk::ImageIOBase::SetNumberOfDimensions(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ImageIOBase::SetOrigin(), itk::CenteredAffineTransform< TScalarType, NDimensions >::SetParameters(), itk::Rigid2DTransform< TScalarType >::SetParameters(), itk::KernelTransform< TScalarType, NDimensions >::SetParameters(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), itk::Statistics::ScalarImageTextureCalculator< TImageType, THistogramFrequencyContainer >::SetPixelValueMinMax(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetPixelValueMinMax(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), otb::ImageLayerGenerator< TImageLayer >::SetRenderingFunction(), otb::RenderingImageFilter< TInputImage, TOutputImage >::SetRenderingFunction(), itk::KernelTransform< TScalarType, NDimensions >::SetSourceLandmarks(), itk::ImageIOBase::SetSpacing(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::KernelTransform< TScalarType, NDimensions >::SetTargetLandmarks(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation(), and itk::AffineTransform< TScalarType, NDimensions >::Translate().
00298 { 00299 m_MTime.Modified(); 00300 InvokeEvent( ModifiedEvent() ); 00301 }
| Object::Pointer itk::Object::New | ( | void | ) | [static, inherited] |
Method for creation through the object factory.
Reimplemented from itk::LightObject.
Reimplemented in itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::Directory, itk::Statistics::MersenneTwisterRandomVariateGenerator, itk::OutputWindow, and itk::FFTComplexToComplexImageFilter< TPixel, NDimension >.
Definition at line 217 of file itkObject.cxx.
References itk::Object::UnRegister().
Referenced by otb::AeronetFileReader::AeronetFileReader(), itk::watershed::Segmenter< TInputImage >::AnalyzeBoundaryFlow(), itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ApplyImageLoads(), itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ApplyLoads(), otb::BasicApplicationModel::BasicApplicationModel(), otb::BasicApplicationView::BasicApplicationView(), otb::TerraSarCalibrationImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), otb::TerraSarBrightnessImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >::BeforeThreadedGenerateData(), itk::BilateralImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), itk::DisplacementFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >::BeforeThreadedGenerateData(), itk::LabelMapFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), otb::Functor::BlendingFunctor< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType >::BlendingFunctor(), itk::CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >::CalculateAdvectionImage(), itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::CalculateSpeedImage(), itk::LaplacianSegmentationLevelSetFunction< TImageType, TFeatureImageType >::CalculateSpeedImage(), itk::PhilipsRECImageIO::CanReadFile(), itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ChooseMetric(), itk::Statistics::GaussianMembershipFunction< TMeasurementVector >::Clone(), itk::Statistics::DistanceToCentroidMembershipFunction< TVector >::Clone(), itk::CenteredSimilarity2DTransform< TScalarType >::CloneInverseTo(), itk::Rigid2DTransform< TScalarType >::CloneInverseTo(), itk::Euler2DTransform< TScalarType >::CloneInverseTo(), itk::CenteredRigid2DTransform< TScalarType >::CloneInverseTo(), itk::Similarity2DTransform< TScalarType >::CloneInverseTo(), itk::Similarity2DTransform< TScalarType >::CloneTo(), itk::Euler2DTransform< TScalarType >::CloneTo(), itk::CenteredRigid2DTransform< TScalarType >::CloneTo(), itk::CenteredSimilarity2DTransform< TScalarType >::CloneTo(), itk::Rigid2DTransform< TScalarType >::CloneTo(), itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ComputeJacobian(), otb::CoordinateToName::CoordinateToName(), itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CopyInputToOutput(), itk::Object::CreateAnother(), otb::ImageMetadataInterfaceFactory::CreateIMI(), itk::LoggerManager::CreateLogger(), itk::CreateObjectFunction< T >::CreateObject(), itk::LoggerManager::CreateThreadLogger(), otb::Curves2DWidget::Curves2DWidget(), itk::watershed::Segmenter< TInputImage >::DescendFlatRegions(), itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::EnforceDiffeomorphism(), itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::FEMRegistrationFilter(), otb::FillGapsFilter::FillGapsFilter(), itk::QuaternionOrientationAdapter< VDimension >::FromDirectionCosines(), otb::GCPsToRPCSensorModelImageFilter< TImage >::GCPsToRPCSensorModelImageFilter(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, INVERSE >::GenerateData(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, FORWARD >::GenerateData(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::GenerateData(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, FORWARD, TCost >::GenerateData(), otb::UrbanAreaDetectionImageFilter< TInputImage, TOutputImage, TFunction >::GenerateData(), otb::OpeningClosingMorphologicalFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), otb::MorphologicalPyramid::Resampler< TInputImage, TOutputImage >::GenerateData(), otb::EdgeDensityImageFilter< TInputImage, TOutputImage, TEdgeDetector, TDensityCount >::GenerateData(), otb::ClosingOpeningMorphologicalFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::watershed::Segmenter< TInputImage >::GenerateData(), itk::BinaryShapeOpeningImageFilter< TInputImage >::GenerateData(), itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::LabelShapeOpeningImageFilter< TInputImage >::GenerateData(), itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >::GenerateData(), itk::ApproximateSignedDistanceMapImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >::GenerateData(), itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >::GenerateData(), itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::LabelShapeKeepNObjectsImageFilter< TInputImage >::GenerateData(), itk::DerivativeImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::GenerateData(), itk::HMinimaImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >::GenerateData(), itk::BinaryGrindPeakImageFilter< TInputImage >::GenerateData(), itk::BinaryReconstructionByDilationImageFilter< TInputImage >::GenerateData(), itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >::GenerateData(), itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage >::GenerateData(), itk::BinaryAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >::GenerateData(), itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >::GenerateData(), itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::LabelAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >::GenerateData(), itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, TFunctor, TMaskImage >::GenerateData(), itk::HConvexImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::LabelReconstructionByDilationImageFilter< TInputImage >::GenerateData(), itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::BinaryClosingByReconstructionImageFilter< TInputImage, TKernel >::GenerateData(), itk::BinaryFillholeImageFilter< TInputImage >::GenerateData(), itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >::GenerateData(), itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >::GenerateData(), itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >::GenerateData(), itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >::GenerateData(), itk::ShapeRelabelImageFilter< TInputImage >::GenerateData(), itk::AttributeRelabelImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >::GenerateData(), itk::BinaryAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >::GenerateData(), itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GenerateData(), itk::HConcaveImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::LaplacianImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::QuadEdgeMeshSmoothing< TInputMesh, TOutputMesh >::GenerateData(), itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >::GenerateData(), itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::NormalizeImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::QuadEdgeMeshCleanFilter< TInput, TOutput >::GenerateData(), itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage >::GenerateData(), itk::BinaryReconstructionByErosionImageFilter< TInputImage >::GenerateData(), itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::TileImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::BinaryOpeningByReconstructionImageFilter< TInputImage, TKernel >::GenerateData(), itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::HMaximaImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::BinaryMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >::GenerateData(), itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GenerateData(), itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >::GenerateData(), itk::LabelAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >::GenerateData(), itk::OrientImageFilter< TInputImage, TOutputImage >::GenerateData(), itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >::GenerateData(), itk::MetaImageIO::GetActualNumberOfSplitsForWriting(), otb::SVMModel< TValue, TLabel >::GetCopy(), itk::SpatialObjectFactoryBase::GetFactory(), itk::TransformFactoryBase::GetFactory(), otb::MsgReporter::GetInstance(), otb::BasicApplicationModel::GetInstance(), itk::ImageMomentsCalculator< TImage >::GetPhysicalAxesToPrincipalAxesTransform(), itk::ImageMomentsCalculator< TImage >::GetPrincipalAxesToPhysicalAxesTransform(), otb::ImageLayer< TImage, TOutputImage >::ImageLayer(), otb::ImageLayerBase< TOutputImage >::ImageLayerBase(), otb::ImageWidgetController::ImageWidgetController(), itk::PCAShapeSignedDistanceFunction< TCoordRep, VSpaceDimension, TImage >::Initialize(), itk::fem::Solver::InitializeInterpolationGrid(), itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InitializeKLM(), itk::watershed::Segmenter< TInputImage >::LabelMinima(), otb::AtmosphericCorrectionParameters::LoadFilterFunctionValue(), itk::LoggerBase::LoggerBase(), itk::LoggerThreadWrapper< SimpleLoggerType >::LoggerThreadWrapper(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::MakeOutput(), itk::ProcessObject::MakeOutput(), itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >::MatchCardinalityImageToImageMetric(), otb::MultiChannelsPolarimetricSynthesisFilter< TInputImage, TOutputImage, TFunction >::MultiChannelsPolarimetricSynthesisFilter(), itk::MultipleValuedVnlCostFunctionAdaptor::MultipleValuedVnlCostFunctionAdaptor(), itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::MultiResSolve(), itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MutualInformationImageToImageMetric(), otb::Functor::LHMI< ITK_TYPENAME itk::ConstNeighborhoodIterator< TInputImage1 >, ITK_TYPENAME itk::ConstNeighborhoodIterator< TInputImage2 >, ITK_TYPENAME TOutputImage::PixelType >::operator()(), otb::SVMModelEstimator< InputPixelType, LabelPixelType >::OptimizeParameters(), otb::PolarimetricSynthesisFilter< TInputImageHH, TInputImageHV, TInputImageVH, TInputImageVV, TOutputImage, TFunction >::PolarimetricSynthesisFilter(), itk::ProcessObject::ProcessObject(), itk::QuadEdgeMeshFrontBaseIterator< TMesh, TQE >::QuadEdgeMeshFrontBaseIterator(), itk::IPLCommonImageIO::ReadImageInformation(), itk::PhilipsRECImageIO::ReadImageInformation(), itk::Bruker2DSEQImageIO::ReadImageInformation(), otb::ReflectanceToSurfaceReflectanceImageFilter< TInputImage, TOutputImage >::ReflectanceToSurfaceReflectanceImageFilter(), otb::ImageMetadataInterfaceFactory::RegisterBuiltInFactories(), otb::ImageIOFactory::RegisterBuiltInFactories(), itk::ImageIOFactory::RegisterBuiltInFactories(), itk::TransformIOFactory::RegisterBuiltInFactories(), otb::TileMapImageIOFactory::RegisterOneFactory(), otb::SpotImageMetadataInterfaceFactory::RegisterOneFactory(), otb::RADImageIOFactory::RegisterOneFactory(), otb::QuickBirdImageMetadataInterfaceFactory::RegisterOneFactory(), otb::ONERAImageIOFactory::RegisterOneFactory(), otb::MWImageIOFactory::RegisterOneFactory(), otb::MSTARImageIOFactory::RegisterOneFactory(), otb::LUMImageIOFactory::RegisterOneFactory(), otb::JPEG2000ImageIOFactory::RegisterOneFactory(), otb::IkonosImageMetadataInterfaceFactory::RegisterOneFactory(), otb::GDALImageIOFactory::RegisterOneFactory(), otb::DefaultImageMetadataInterfaceFactory::RegisterOneFactory(), otb::BSQImageIOFactory::RegisterOneFactory(), itk::VTKImageIOFactory::RegisterOneFactory(), itk::VoxBoCUBImageIOFactory::RegisterOneFactory(), itk::BioRadImageIOFactory::RegisterOneFactory(), itk::GE5ImageIOFactory::RegisterOneFactory(), itk::LSMImageIOFactory::RegisterOneFactory(), itk::PhilipsRECImageIOFactory::RegisterOneFactory(), itk::GDCMImageIOFactory::RegisterOneFactory(), itk::JPEGImageIOFactory::RegisterOneFactory(), itk::NrrdImageIOFactory::RegisterOneFactory(), itk::GiplImageIOFactory::RegisterOneFactory(), itk::MatlabTransformIOFactory::RegisterOneFactory(), itk::SiemensVisionImageIOFactory::RegisterOneFactory(), itk::Bruker2DSEQImageIOFactory::RegisterOneFactory(), itk::DICOMImageIO2Factory::RegisterOneFactory(), itk::GE4ImageIOFactory::RegisterOneFactory(), itk::MINC2ImageIOFactory::RegisterOneFactory(), itk::GEAdwImageIOFactory::RegisterOneFactory(), itk::MetaImageIOFactory::RegisterOneFactory(), itk::TxtTransformIOFactory::RegisterOneFactory(), itk::StimulateImageIOFactory::RegisterOneFactory(), itk::DicomImageIOFactory::RegisterOneFactory(), itk::TIFFImageIOFactory::RegisterOneFactory(), itk::AnalyzeImageIOFactory::RegisterOneFactory(), itk::NiftiImageIOFactory::RegisterOneFactory(), itk::PNGImageIOFactory::RegisterOneFactory(), itk::BMPImageIOFactory::RegisterOneFactory(), itk::Brains2MaskImageIOFactory::RegisterOneFactory(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::ResampleImageFilter(), itk::ArchetypeSeriesFileNames::Scan(), itk::KernelTransform< TScalarType, NDimensions >::SetFixedParameters(), itk::KernelTransform< TScalarType, NDimensions >::SetParameters(), itk::TreeContainer< TValueType >::SetRoot(), itk::SpatialObjectTreeContainer< TDimension >::SetRoot(), otb::AtmosphericRadiativeTerms::SetValueByIndex(), itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ShapePriorMAPCostFunction(), itk::SingleValuedVnlCostFunctionAdaptor::SingleValuedVnlCostFunctionAdaptor(), itk::SpatialObject< TDimension >::SpatialObject(), itk::MultiThreader::SpawnThread(), itk::ThreadLogger::ThreadLogger(), itk::TimeProbe::TimeProbe(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::TransformToDeformationFieldSource(), otb::AtmosphericCorrectionParameters::UpdateAeronetData(), otb::AtmosphericRadiativeTerms::ValuesInitialization(), otb::VectorDataModel::VectorDataModel(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::VectorResampleImageFilter(), itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::WarpImage(), itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::WriteDisplacementField(), itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::WriteDisplacementFieldMultiComponent(), and itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::WriteWarpedImage().
00218 { 00219 Pointer smartPtr; 00220 Object *rawPtr = ::itk::ObjectFactory<Object>::Create(); 00221 if(rawPtr == NULL) 00222 { 00223 rawPtr = new Object; 00224 } 00225 smartPtr = rawPtr; 00226 rawPtr->UnRegister(); 00227 return smartPtr; 00228 }
| virtual void itk::ImageToImageFilter< TInputImage , TInputImage >::PopBackInput | ( | ) | [virtual, inherited] |
Model a stack on the input list by providing a pop back
Reimplemented from itk::ProcessObject.
| 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 >.
Definition at line 864 of file itkProcessObject.cxx.
| void itk::LightObject::Print | ( | std::ostream & | os, | |
| Indent | indent = 0 | |||
| ) | const [inherited] |
Cause the object to print itself out.
Avoid DLL boundary problems. This function will be common to all itk objects. It just calls the header/self/trailer virtual print methods, which can be overriden by subclasses (any itk object).
Definition at line 135 of file itkLightObject.cxx.
References itk::Indent::GetNextIndent().
Referenced by itk::operator<<(), and itk::WeakPointer< ProcessObject >::Print().
00136 { 00137 this->PrintHeader(os, indent); 00138 this->PrintSelf(os, indent.GetNextIndent()); 00139 this->PrintTrailer(os, indent); 00140 }
| void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
Define a default print header for all objects.
Definition at line 320 of file itkLightObject.cxx.
00321 { 00322 os << indent << this->GetNameOfClass() << " (" << this << ")\n"; 00323 }
| void otb::StreamingImageFileWriter< TInputImage >::PrintSelf | ( | std::ostream & | os, | |
| itk::Indent | indent | |||
| ) | const [inline, protected, virtual] |
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.
Chaining method to print an object's instance variables, as well as its superclasses.
Reimplemented from itk::ImageToImageFilter< TInputImage, TInputImage >.
Definition at line 179 of file otbStreamingImageFileWriter.txx.
00180 { 00181 Superclass::PrintSelf(os,indent); 00182 00183 os << indent << "File Name: " 00184 << (m_FileName.data() ? m_FileName.data() : "(none)") << std::endl; 00185 00186 os << indent << "Image IO: "; 00187 if ( m_ImageIO.IsNull() ) 00188 { 00189 os << "(none)\n"; 00190 } 00191 else 00192 { 00193 os << m_ImageIO << "\n"; 00194 } 00195 00196 os << indent << "IO Region: " << m_IORegion << "\n"; 00197 00198 00199 if (m_UseCompression) 00200 { 00201 os << indent << "Compression: On\n"; 00202 } 00203 else 00204 { 00205 os << indent << "Compression: Off\n"; 00206 } 00207 00208 if (m_UseInputMetaDataDictionary) 00209 { 00210 os << indent << "UseInputMetaDataDictionary: On\n"; 00211 } 00212 else 00213 { 00214 os << indent << "UseInputMetaDataDictionary: Off\n"; 00215 } 00216 00217 if (m_FactorySpecifiedImageIO) 00218 { 00219 os << indent << "FactorySpecifiedmageIO: On\n"; 00220 } 00221 else 00222 { 00223 os << indent << "FactorySpecifiedmageIO: Off\n"; 00224 } 00225 00226 00227 os << indent << "Number of stream divisions: " << m_NumberOfStreamDivisions 00228 << std::endl; 00229 if (m_RegionSplitter) 00230 { 00231 os << indent << "Region splitter:" << m_RegionSplitter << std::endl; 00232 } 00233 else 00234 { 00235 os << indent << "Region splitter: (none)" << std::endl; 00236 } 00237 }
| void itk::ProcessObject::PropagateRequestedRegion | ( | DataObject * | output | ) | [virtual, inherited] |
Send the requested region information back up the pipeline (to the filters that preceed this one).
check flag to avoid executing forever if there is a loop
Give the subclass a chance to indicate that it will provide more data then required for the output. This can happen, for example, when a source can only produce the whole output. Although this is being called for a specific output, the source may need to enlarge all outputs.
Give the subclass a chance to define how to set the requested regions for each of its outputs, given this output's requested region. The default implementation is to make all the output requested regions the same. A subclass may need to override this method if each output is a different resolution.
Give the subclass a chance to request a larger requested region on the inputs. This is necessary when, for example, a filter requires more data at the "internal" boundaries to produce the boundary values - such as an image filter that derives a new pixel value by applying some operation to a neighborhood of surrounding original values.
Now that we know the input requested region, propagate this through all the inputs.
Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >, and itk::VTKImageImport< TOutputImage >.
Definition at line 766 of file itkProcessObject.cxx.
00767 { 00771 if (m_Updating) 00772 { 00773 return; 00774 } 00775 00783 this->EnlargeOutputRequestedRegion( output ); 00784 00792 this->GenerateOutputRequestedRegion( output ); 00793 00802 this->GenerateInputRequestedRegion(); 00803 00808 m_Updating = true; 00809 DataObjectPointerArraySizeType idx; 00810 for (idx = 0; idx < m_Inputs.size(); ++idx) 00811 { 00812 if (m_Inputs[idx]) 00813 { 00814 m_Inputs[idx]->PropagateRequestedRegion(); 00815 } 00816 } 00817 m_Updating = false; 00818 }
| void itk::ProcessObject::PropagateResetPipeline | ( | ) | [protected, virtual, inherited] |
Called to allocate the input array. Copies old inputs. Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.
Propagate the ResetPipeline call
Definition at line 631 of file itkProcessObject.cxx.
00632 { 00633 // 00634 // Reset this object. 00635 // 00636 // Clear the updating flag. 00637 m_Updating = 0; 00638 00639 // 00640 // Loop through the inputs 00641 // 00642 unsigned int idx; 00643 DataObject::Pointer input; 00644 for (idx = 0; idx < m_Inputs.size(); ++idx) 00645 { 00646 if (m_Inputs[idx]) 00647 { 00648 input = m_Inputs[idx]; 00649 00653 input->PropagateResetPipeline(); 00654 } 00655 } 00656 }
| void itk::ImageToImageFilter< TInputImage , TInputImage >::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 248 of file itkImageToImageFilter.h.
| virtual void itk::ImageToImageFilter< TInputImage , TInputImage >::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::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
Definition at line 309 of file itkObject.cxx.
Referenced by itk::ObjectFactoryBase::RegisterFactory().
00310 { 00311 itkDebugMacro(<< "Registered, " 00312 << "ReferenceCount = " << (m_ReferenceCount+1)); 00313 00314 // call the parent 00315 Superclass::Register(); 00316 }
| void itk::ProcessObject::ReleaseInputs | ( | ) | [protected, virtual, inherited] |
A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten.
Reimplemented in itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TOutputVectorImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TInputImageG, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage1, ITK_TYPENAME Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TImage >, itk::InPlaceImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::InPlaceImageFilter< TInputMultiSpectralImage, TOutputImage >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< TInputVectorImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< TInputImageHH, TOutputImage >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< TInputImageR, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TImage, TImage >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, and itk::InPlaceLabelMapFilter< TImage >.
Definition at line 886 of file itkProcessObject.cxx.
Referenced by itk::watershed::Segmenter< TInputImage >::GenerateData(), itk::InPlaceLabelMapFilter< TInputImage >::ReleaseInputs(), and itk::InPlaceImageFilter< TInputImage, TOutputImage >::ReleaseInputs().
| void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
Definition at line 435 of file itkObject.cxx.
00436 { 00437 if (this->m_SubjectImplementation) 00438 { 00439 this->m_SubjectImplementation->RemoveAllObservers(); 00440 } 00441 }
| void itk::ProcessObject::RemoveInput | ( | DataObject * | input | ) | [protected, virtual, inherited] |
Remove an input.
Removes the first occurence of the given OutputObject from the inputs to this ProcessObject. If it's the last object on the list, shortens the list.
Definition at line 173 of file itkProcessObject.cxx.
00174 { 00175 if (!input) 00176 { 00177 return; 00178 } 00179 00180 // find the input in the list of inputs 00181 DataObjectPointerArray::iterator pos = 00182 std::find(m_Inputs.begin(), m_Inputs.end(), input); 00183 00184 if(pos == m_Inputs.end()) 00185 { 00186 itkDebugMacro("tried to remove an input that was not in the list"); 00187 return; 00188 } 00189 00190 // Set the position in the m_Inputs containing input to 0 00191 *pos = 0; 00192 00193 // if that was the last input, then shrink the list 00194 if (pos == m_Inputs.end() - 1 ) 00195 { 00196 this->SetNumberOfInputs( static_cast<int>( m_Inputs.size() ) - 1); 00197 } 00198 00199 this->Modified(); 00200 }
Remove the observer with this tag value.
Definition at line 425 of file itkObject.cxx.
00426 { 00427 if (this->m_SubjectImplementation) 00428 { 00429 this->m_SubjectImplementation->RemoveObserver(tag); 00430 } 00431 }
| void itk::ProcessObject::ResetPipeline | ( | ) | [virtual, inherited] |
Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.
Definition at line 621 of file itkProcessObject.cxx.
| void itk::ProcessObject::RestoreInputReleaseDataFlags | ( | ) | [protected, virtual, inherited] |
Restore the cached input ReleaseDataFlags.
Definition at line 1075 of file itkProcessObject.cxx.
01076 { 01077 unsigned int idx; 01078 01079 for (idx = 0; 01080 idx < m_Inputs.size() && idx < m_CachedInputReleaseDataFlags.size(); 01081 ++idx) 01082 { 01083 if (m_Inputs[idx]) 01084 { 01085 m_Inputs[idx]->SetReleaseDataFlag(m_CachedInputReleaseDataFlags[idx]); 01086 } 01087 } 01088 }
| void otb::StreamingImageFileWriter< TInputImage >::SetAutomaticNumberOfStreamDivisions | ( | void | ) | [inline] |
The number of stream divisions is calculate by using OTB_STREAM_IMAGE_SIZE_TO_ACTIVATE_STREAMING and OTB_STREAM_MAX_SIZE_BUFFER_FOR_STREAMING cmake variables.
Definition at line 121 of file otbStreamingImageFileWriter.txx.
00122 { 00123 m_CalculationDivision = SET_AUTOMATIC_NUMBER_OF_STREAM_DIVISIONS; 00124 this->Modified(); 00125 }
| void otb::StreamingImageFileWriter< TInputImage >::SetBufferMemorySize | ( | unsigned long | memory_size_divisions | ) | [inline] |
Set buffer memory size (in bytes) use to calculate the number of stream divisions
Definition at line 82 of file otbStreamingImageFileWriter.txx.
00083 { 00084 m_BufferMemorySize = memory_size_divisions; 00085 m_CalculationDivision = SET_BUFFER_MEMORY_SIZE; 00086 this->Modified(); 00087 }
| void otb::StreamingImageFileWriter< TInputImage >::SetBufferNumberOfLinesDivisions | ( | unsigned long | nb_lines_divisions | ) | [inline] |
Set the buffer number of lines use to calculate the number of stream divisions
Definition at line 95 of file otbStreamingImageFileWriter.txx.
00096 { 00097 m_BufferNumberOfLinesDivisions = nb_lines_divisions; 00098 m_CalculationDivision = SET_BUFFER_NUMBER_OF_LINES; 00099 this->Modified(); 00100 }
| void itk::Object::SetDebug | ( | bool | debugFlag | ) | const [inherited] |
Set the value of the debug flag. A non-zero value turns debugging on.
Definition at line 275 of file itkObject.cxx.
00276 { 00277 m_Debug = debugFlag; 00278 }
| virtual void otb::StreamingImageFileWriter< TInputImage >::SetFileName | ( | std::string | filename | ) | [inline, virtual] |
Set the filename and destroy the current driver.
| filename | the name of the file. |
Definition at line 139 of file otbStreamingImageFileWriter.h.
00140 { 00141 m_FileName = filename; 00142 m_ImageIO = NULL; 00143 this->Modified(); 00144 }
| void itk::Object::SetGlobalWarningDisplay | ( | bool | val | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Set the value of the global debug output control flag.
Definition at line 370 of file itkObject.cxx.
00371 { 00372 m_GlobalWarningDisplay = val; 00373 }
| virtual void itk::ImageToImageFilter< TInputImage , TInputImage >::SetInput | ( | const InputImageType * | image | ) | [virtual, inherited] |
Set/Get the image input of this process object.
Reimplemented in otb::StreamingImageVirtualWriter< TInputImage >.
| void otb::StreamingImageFileWriter< TInputImage >::SetIORegion | ( | const itk::ImageIORegion & | region | ) | [inline] |
Specify the region to write. If left NULL, then the whole image is written.
Definition at line 243 of file otbStreamingImageFileWriter.txx.
00244 { 00245 itkDebugMacro("setting IORegion to " << region ); 00246 if ( m_IORegion != region) 00247 { 00248 m_IORegion = region; 00249 this->Modified(); 00250 m_UserSpecifiedIORegion = true; 00251 } 00252 }
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
Definition at line 554 of file itkObject.cxx.
Referenced by otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), and otb::Image< TPixel, VImageDimension >::CopyInformation().
00555 { 00556 if(m_MetaDataDictionary==NULL) 00557 { 00558 m_MetaDataDictionary=new MetaDataDictionary; 00559 } 00560 *m_MetaDataDictionary=rhs; 00561 }
| void itk::ProcessObject::SetNthInput | ( | unsigned int | idx, | |
| DataObject * | input | |||
| ) | [protected, virtual, inherited] |
Protected methods for setting inputs. Subclasses make use of them for setting input.
Set an Input of this filter. This method does Register()/UnRegister() manually to deal with the fact that smart pointers aren't around to do the reference counting.
Reimplemented in itk::ImageToVectorImageFilter< TInputImage >.
Definition at line 210 of file itkProcessObject.cxx.
Referenced by itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::AddGradientImage(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::ConnectedThresholdImageFilter(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::GetUpperInput(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >::SetClassLabels(), itk::Statistics::SampleClassifierFilter< TSample >::SetClassLabels(), itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >::SetDeformationField(), itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >::SetDeformationField(), itk::WarpMeshFilter< TInputMesh, TOutputMesh, TDeformationField >::SetDeformationField(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetEquivalencyTable(), itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetFeatureImage(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureImage(), itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >::SetFixedImage(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::SetFixedImage(), itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetFixedImage(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::SetFixedImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetGradientImage(), itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >::SetImage(), itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >::SetImageInput(), itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >::SetImageInput(), itk::Statistics::CovarianceSampleFilter< TSample >::SetInput(), otb::LabelMapToVectorDataFilter< TLabelMap, TVectorData >::SetInput(), itk::Statistics::ImageToListGenerator< TImage, TMaskImage >::SetInput(), otb::RCC8GraphFileWriter< TInputGraph >::SetInput(), itk::Statistics::ImageToHistogramFilter< TImageType >::SetInput(), otb::ImageToImageListFilter< TInputImage, TOutputImage >::SetInput(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetInput(), otb::VectorDataToImageFilter< TVectorData, TImage >::SetInput(), itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >::SetInput(), itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >::SetInput(), itk::Statistics::ScalarImageToCooccurrenceListSampleFilter< TImage >::SetInput(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::SetInput(), itk::VTKImageExport< TInputImage >::SetInput(), itk::Statistics::SampleClassifierFilter< TSample >::SetInput(), itk::ImageSeriesWriter< TInputImage, TOutputImage >::SetInput(), otb::ImageToLineSpatialObjectListFilter< TInputImage >::SetInput(), itk::MeshToMeshFilter< TInputMesh, TOutputMesh >::SetInput(), itk::HistogramToImageFilter< THistogram, TFunction >::SetInput(), otb::SpatialObjectToImageDrawingFilter< TInputSpatialObject, TOutputImage >::SetInput(), itk::ImageToImageFilter< TInputImage, TOutputImage >::SetInput(), itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >::SetInput(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetInput(), itk::ImageFileWriter< TInputImage >::SetInput(), otb::ImageListToRCC8GraphFilter< TInputImage, TOutputGraph >::SetInput(), otb::PolygonListToRCC8GraphFilter< TPolygonList, TOutputGraph >::SetInput(), otb::VectorizationPathListFilter< TInputModulus, TInputDirection, TOutputPath >::SetInput(), itk::Statistics::StandardDeviationPerComponentSampleFilter< TSample >::SetInput(), itk::Statistics::MeanSampleFilter< TSample >::SetInput(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::Statistics::SampleToSubsampleFilter< TSample >::SetInput(), otb::AtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms::SetInput(), otb::LabelMapToGISTableFilter< TLabelMap, TGISTable >::SetInput(), otb::VectorDataToLabelMapFilter< TVectorData, TLabelMap >::SetInput(), itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >::SetInput(), otb::ImageListToImageFilter< TInputImage, TOutputImage >::SetInput(), otb::ModulusAndDirectionImageToImageFilter< TInputImage, TInputImageDirection, TOutputImage >::SetInput(), itk::PathToImageFilter< TInputPath, TOutputImage >::SetInput(), itk::ImageToPathFilter< TInputImage, TOutputPath >::SetInput(), itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >::SetInput(), itk::PathToPathFilter< TInputPath, TOutputPath >::SetInput(), otb::GISTableToLabelMapFilter< TGISTable, TLabelMap >::SetInput(), otb::LineSpatialObjectListToPointSetFilter< TLinesList, TPointSet >::SetInput(), itk::ConformalFlatteningMeshFilter< TInputMesh, TOutputMesh >::SetInput(), otb::GISTableToVectorDataFilter< TGISTable, TVectorData >::SetInput(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::SetInput(), itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetInput(), otb::ImageListToImageListFilter< TInputImage, TOutputImage >::SetInput(), otb::StreamingImageVirtualWriter< TInputImage >::SetInput(), otb::VectorDataToGISTableFilter< TVectorData, TGISTable >::SetInput(), itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >::SetInput1(), itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >::SetInput1(), otb::KeyPointSetsMatchingFilter< TPointSet, TDistance >::SetInput1(), itk::InterpolateImageFilter< TInputImage, TOutputImage >::SetInput2(), otb::KeyPointSetsMatchingFilter< TPointSet, TDistance >::SetInput2(), otb::VectorizationPathListFilter< TInputModulus, TInputDirection, TOutputPath >::SetInputDirection(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputEquivalencyTable(), itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >::SetInputImage(), otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), otb::LikelihoodPathListFilter< TPath, TImage >::SetInputImage(), otb::ImageFittingPolygonListFilter< TPath, TImage >::SetInputImage(), otb::LineSpatialObjectListToRightAnglePointSetFilter< TImage, TLinesList, TPointSet >::SetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), otb::SVMImageClassificationFilter< TInputImage, TOutputImage, TMaskImage >::SetInputMask(), otb::KMeansImageClassificationFilter< TInputImage, TOutputImage, VMaxSampleDimension, TMaskImage >::SetInputMask(), otb::SOMImageClassificationFilter< TInputImage, TOutputImage, TSOMMap, TMaskImage >::SetInputMask(), otb::PrintableImageFilter< TInputImage, TMaskImage >::SetInputMask(), otb::SVMPointSetModelEstimator< TInputPointSet, TTrainingPointSet >::SetInputPointSet(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputSegmentTree(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::SetInputVelocityImage(), otb::SOMClassifier< TSample, TSOMMap, TLabel >::SetMap(), itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >::SetMaskImage(), itk::Statistics::ImageToListGenerator< TImage, TMaskImage >::SetMaskImage(), itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >::SetMaskImage(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage(), itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >::SetMaskImage(), itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >::SetMaskImage(), itk::Statistics::SampleClassifierFilter< TSample >::SetMembershipFunctions(), itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >::SetMembershipFunctions(), itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >::SetMembershipFunctionsWeightsArray(), itk::Statistics::SampleClassifierFilter< TSample >::SetMembershipFunctionsWeightsArray(), itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >::SetMovingImage(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::SetMovingImage(), itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetMovingImage(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::SetMovingImage(), itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >::SetPathInput(), itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >::SetPathInput(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::SetPointSet(), otb::PointSetToDeformationFieldGenerator< TPointSet, TDeformationField >::SetPointSet(), itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::SetReferenceImage(), itk::RegionFromReferenceLabelMapFilter< TInputImage >::SetReferenceImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetReferenceImage(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetReferenceImage(), itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage(), otb::KullbackLeiblerSupervizedDistanceImageFilter< TInputImage1, TInputImage2, TInputROIImage, TOutputImage >::SetTrainingArea(), otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::SetTrainingImage(), otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetTrainingInput(), otb::SVMPointSetModelEstimator< TInputPointSet, TTrainingPointSet >::SetTrainingPointSet(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SetUpper(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SetUpperInput(), and itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::SetUpperThreshold().
00211 { 00212 // does this change anything? 00213 if ( idx < m_Inputs.size() && m_Inputs[idx] == input ) 00214 { 00215 return; 00216 } 00217 00218 // Expand array if necessary. 00219 if (idx >= m_Inputs.size()) 00220 { 00221 this->SetNumberOfInputs(idx + 1); 00222 } 00223 00224 m_Inputs[idx] = input; 00225 00226 this->Modified(); 00227 }
| void itk::ProcessObject::SetNthOutput | ( | unsigned int | idx, | |
| DataObject * | output | |||
| ) | [protected, virtual, inherited] |
Protected methods for setting outputs. Subclasses make use of them for getting output.
Set an output of this filter. This method specifically does not do a Register()/UnRegister() because of the desire to break the reference counting loop.
Definition at line 333 of file itkProcessObject.cxx.
References itk::DataObject::ConnectSource().
Referenced by itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >::CoreAtomImageToDistanceMatrixProcess(), itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >::CoreAtomImageToUnaryCorrespondenceMatrixProcess(), itk::SimplexMeshToTriangleMeshFilter< TInputMesh, TOutputMesh >::CreateTriangles(), otb::FillGapsFilter::FillGapsFilter(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::ImageRegistrationMethod(), itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >::ImageToSpatialObjectRegistrationMethod(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::InsertNewCells(), itk::MedialNodePairCorrespondenceProcess< TSourceImage >::MedialNodePairCorrespondenceProcess(), itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >::MedialNodeTripletCorrespondenceProcess(), itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >::MultiResolutionImageRegistrationMethod(), itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >::MultiScaleHessianBasedMeasureImageFilter(), itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::PointSetToImageRegistrationMethod(), itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >::PointSetToPointSetRegistrationMethod(), itk::RegularSphereMeshSource< TOutputMesh >::RegularSphereMeshSource(), itk::Statistics::SampleClassifierFilter< TSample >::SampleClassifierFilter(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::MeshSource< TOutputMesh >::SetOutput(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), and itk::SphereMeshSource< TOutputMesh >::SphereMeshSource().
00334 { 00335 // does this change anything? 00336 if ( idx < m_Outputs.size() && output == m_Outputs[idx]) 00337 { 00338 return; 00339 } 00340 00341 // Expand array if necessary. 00342 if (idx >= m_Outputs.size()) 00343 { 00344 this->SetNumberOfOutputs(idx + 1); 00345 } 00346 00347 // Keep a handle to the original output and disconnect the old output from 00348 // the pipeline 00349 DataObjectPointer oldOutput; 00350 if ( m_Outputs[idx] ) 00351 { 00352 oldOutput = m_Outputs[idx]; 00353 m_Outputs[idx]->DisconnectSource(this, idx); 00354 } 00355 00356 if (output) 00357 { 00358 output->ConnectSource(this, idx); 00359 } 00360 // save the current reference (which releases the previous reference) 00361 m_Outputs[idx] = output; 00362 00363 // if we are clearing an output, we need to create a new blank output 00364 // so we are prepared for the next Update(). this copies the requested 00365 // region ivar 00366 if (!m_Outputs[idx]) 00367 { 00368 itkDebugMacro( " creating new output object." ); 00369 DataObjectPointer newOutput = this->MakeOutput(idx); 00370 this->SetNthOutput(idx, newOutput); 00371 00372 // If we had an output object before, copy the requested region 00373 // ivars and release data flag to the the new output 00374 if (oldOutput) 00375 { 00376 newOutput->SetRequestedRegion( oldOutput ); 00377 newOutput->SetReleaseDataFlag( oldOutput->GetReleaseDataFlag() ); 00378 } 00379 } 00380 00381 this->Modified(); 00382 }
Called to allocate the input array. Copies old inputs.
Called by constructor to set up input array.
Definition at line 96 of file itkProcessObject.cxx.
Called to allocate the output array. Copies old outputs.
Called by constructor to set up output array.
Definition at line 424 of file itkProcessObject.cxx.
| void otb::StreamingImageFileWriter< TInputImage >::SetNumberOfStreamDivisions | ( | unsigned long | nb_divisions | ) | [inline] |
Set the number of pieces to divide the input. The upstream pipeline will be executed this many times.
Definition at line 108 of file otbStreamingImageFileWriter.txx.
00109 { 00110 m_NumberOfStreamDivisions = nb_divisions; 00111 m_CalculationDivision = SET_NUMBER_OF_STREAM_DIVISIONS; 00112 this->Modified(); 00113 }
| void itk::Object::SetReferenceCount | ( | int | ref | ) | [virtual, inherited] |
Sets the reference count (use with care)
If there is a delete method, invoke it.
Reimplemented from itk::LightObject.
Definition at line 347 of file itkObject.cxx.
00348 { 00349 itkDebugMacro(<< "Reference Count set to " << ref); 00350 00351 // ReferenceCount in now unlocked. We may have a race condition to 00352 // to delete the object. 00353 if( ref <= 0 ) 00354 { 00358 this->InvokeEvent(DeleteEvent()); 00359 } 00360 00361 Superclass::SetReferenceCount(ref); 00362 }
| 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.
Definition at line 528 of file itkProcessObject.cxx.
| void otb::StreamingImageFileWriter< TInputImage >::SetTilingStreamDivisions | ( | unsigned long | nb_divisions | ) | [inline] |
Choose number of divisions in tiling streaming division
Definition at line 143 of file otbStreamingImageFileWriter.txx.
00144 { 00145 m_CalculationDivision = SET_TILING_WITH_SET_NUMBER_OF_STREAM_DIVISIONS; 00146 m_NumberOfStreamDivisions = nb_divisions; 00147 m_RegionSplitter = itk::ImageRegionMultidimensionalSplitter<InputImageDimension>::New(); 00148 this->Modified(); 00149 }
| void otb::StreamingImageFileWriter< TInputImage >::SetTilingStreamDivisions | ( | void | ) | [inline] |
Set the tiling automatic mode for streaming division
Definition at line 133 of file otbStreamingImageFileWriter.txx.
00134 { 00135 m_CalculationDivision = SET_TILING_WITH_SET_AUTOMATIC_NUMBER_OF_STREAM_DIVISIONS; 00136 m_RegionSplitter = itk::ImageRegionMultidimensionalSplitter<InputImageDimension>::New(); 00137 this->Modified(); 00138 }
| virtual int itk::ImageSource< TInputImage >::SplitRequestedRegion | ( | int | i, | |
| int | num, | |||
| OutputImageRegionType & | splitRegion | |||
| ) | [protected, virtual, inherited] |
Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".
| virtual void itk::ImageSource< TInputImage >::ThreadedGenerateData | ( | const OutputImageRegionType & | outputRegionForThread, | |
| int | threadId | |||
| ) | [protected, virtual, inherited] |
If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).
Reimplemented in itk::LabelMapFilter< TInputImage, TInputImage >.
| static ITK_THREAD_RETURN_TYPE itk::ImageSource< TInputImage >::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().
| void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
If there is a delete method, invoke it.
Reimplemented from itk::LightObject.
Definition at line 324 of file itkObject.cxx.
Referenced by itk::Object::New(), and itk::ObjectFactoryBase::UnRegisterFactory().
00325 { 00326 // call the parent 00327 itkDebugMacro(<< "UnRegistered, " 00328 << "ReferenceCount = " << (m_ReferenceCount-1)); 00329 00330 if ( (m_ReferenceCount-1) <= 0) 00331 { 00335 this->InvokeEvent(DeleteEvent()); 00336 } 00337 00338 Superclass::UnRegister(); 00339 }
| void itk::ProcessObject::Update | ( | void | ) | [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.
The following methods are used to coordinate the execution of the data processing pipeline.
Reimplemented in otb::PersistentFilterStreamingDecorator< TFilter >, otb::DXFToSpatialObjectGroupFilter< TSpatialObject >, otb::ImageSeriesFileReaderBase< TImage, TInternalImage >, otb::SpatialObjectDXFReader< TSpatialObject >, otb::VectorDataFileWriter< TInputVectorData >, otb::RCC8GraphFileWriter< TInputGraph >, otb::ImageViewer< TPixel, TLabel >, otb::ImageViewerBase< TPixel, TLabel >, itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageFileWriter< TInputImage >, itk::ImageSeriesWriter< TInputImage, TOutputImage >, otb::PersistentFilterStreamingDecorator< PersistentMatrixTransposeMatrixImageFilter< TInputImage1, TInputImage2 > >, otb::PersistentFilterStreamingDecorator< PersistentLineSegmentDetector< TInputImage, TPrecision > >, otb::PersistentFilterStreamingDecorator< PersistentInnerProductVectorImageFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentStatisticsVectorImageFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentStatisticsImageFilter< TInputImage > >, otb::ImageSeriesFileReaderBase< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >, otb::ImageSeriesFileReaderBase< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >, and otb::ImageSeriesFileReaderBase< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >.
Definition at line 611 of file itkProcessObject.cxx.
Referenced by otb::ImageSeriesFileReader< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), itk::DerivativeImageFilter< TInputImage, TOutputImage >::GenerateData(), otb::ImageSeriesFileReader< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), itk::AutoCropLabelMapFilter< TInputImage >::GenerateOutputInformation(), and itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >::GenerateOutputInformation().
| 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().
Definition at line 1120 of file itkProcessObject.cxx.
01121 { 01122 this->UpdateOutputInformation(); 01123 01124 if (this->GetOutput(0)) 01125 { 01126 this->GetOutput(0)->SetRequestedRegionToLargestPossibleRegion(); 01127 this->GetOutput(0)->Update(); 01128 } 01129 }
| virtual void itk::ProcessObject::UpdateOutputData | ( | DataObject * | output | ) | [virtual, inherited] |
Actually generate new output
Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.
| void otb::StreamingImageFileWriter< TInputImage >::UpdateOutputData | ( | itk::DataObject * | itkNotUsedoutput | ) | [inline, virtual] |
Override UpdateOutputData() from ProcessObject to divide upstream updates into pieces. This filter does not have a GenerateData() or ThreadedGenerateData() method. Instead, all the work is done in UpdateOutputData() since it must update a little, execute a little, update some more, execute some more, etc.
prevent chasing our tail
Prepare all the outputs. This may deallocate previous bulk data.
Make sure we have the necessary inputs
Tell all Observers that the filter is starting
Allocate the output buffer.
Prepare ImageIO : create ImageFactory
End of Prepare ImageIO : create ImageFactory
Grab the input
Determine of number of pieces to divide the input. This will be the minimum of what the user specified via SetNumberOfStreamDivisions() and what the Splitter thinks is a reasonable value.
Control if the ImageIO is CanStreamWrite
Loop over the number of pieces, execute the upstream pipeline on each piece, and copy the results into the output image.
Create Image file
Loop over the number of pieces, execute the upstream pipeline on each piece, and copy the results into the output image.
If we ended due to aborting, push the progress up to 1.0 (since it probably didn't end there)
Now we have to mark the data as up to data.
Release any inputs if marked for release
Definition at line 280 of file otbStreamingImageFileWriter.txx.
References itk::ObjectFactoryBase::CreateAllInstance(), otb::ImageIOFactory::CreateImageIO(), itk::LightObject::GetNameOfClass(), itk::ImageIORegion::SetIndex(), and itk::ImageIORegion::SetSize().
00281 { 00282 00283 unsigned int idx; 00284 00288 if (this->m_Updating) 00289 { 00290 return; 00291 } 00292 00293 00297 this->PrepareOutputs(); 00298 00302 unsigned int ninputs = this->GetNumberOfValidRequiredInputs(); 00303 if (ninputs < this->GetNumberOfRequiredInputs()) 00304 { 00305 itkExceptionMacro(<< "At least " << static_cast<unsigned int>( this->GetNumberOfRequiredInputs() ) << " inputs are required but only " << ninputs << " are specified."); 00306 return; 00307 } 00308 this->SetAbortGenerateData(0); 00309 this->SetProgress(0.0); 00310 this->m_Updating = true; 00311 00312 00316 this->InvokeEvent( itk::StartEvent() ); 00317 00321 OutputImagePointer outputPtr = this->GetOutput(0); 00322 OutputImageRegionType outputRegion = outputPtr->GetLargestPossibleRegion(); 00323 00326 // Make sure that we can write the file given the name 00327 // 00328 if ( m_FileName == "" ) 00329 { 00330 itkExceptionMacro(<<"No filename was specified"); 00331 } 00332 00333 if ( m_ImageIO.IsNull() ) //try creating via factory 00334 { 00335 itkDebugMacro(<<"Attempting factory creation of ImageIO for file: " 00336 << m_FileName); 00337 this->SetImageIO( ImageIOFactory::CreateImageIO( m_FileName.c_str(), 00338 itk::ImageIOFactory::WriteMode ) ); 00339 00340 /* m_ImageIO = ImageIOFactory::CreateImageIO( m_FileName.c_str(), 00341 itk::ImageIOFactory::WriteMode );*/ 00342 m_FactorySpecifiedImageIO = true; 00343 } 00344 else 00345 { 00346 if ( m_FactorySpecifiedImageIO && !m_ImageIO->CanWriteFile( m_FileName.c_str() ) ) 00347 { 00348 itkDebugMacro(<<"ImageIO exists but doesn't know how to write file:" 00349 << m_FileName ); 00350 itkDebugMacro(<<"Attempting creation of ImageIO with a factory for file:" 00351 << m_FileName); 00352 m_ImageIO = ImageIOFactory::CreateImageIO( m_FileName.c_str(), 00353 itk::ImageIOFactory::WriteMode ); 00354 m_FactorySpecifiedImageIO = true; 00355 } 00356 } 00357 00358 if ( m_ImageIO.IsNull() ) 00359 { 00360 itk::ImageFileWriterException e(__FILE__, __LINE__); 00361 itk::OStringStream msg; 00362 msg << " Could not create IO object for file " 00363 << m_FileName.c_str() << std::endl; 00364 msg << " Tried to create one of the following:" << std::endl; 00365 std::list<itk::LightObject::Pointer> allobjects = 00366 itk::ObjectFactoryBase::CreateAllInstance("itkImageIOBase"); 00367 for (std::list<itk::LightObject::Pointer>::iterator i = allobjects.begin(); 00368 i != allobjects.end(); ++i) 00369 { 00370 itk::ImageIOBase* io = dynamic_cast<itk::ImageIOBase*>(i->GetPointer()); 00371 msg << " " << io->GetNameOfClass() << std::endl; 00372 } 00373 msg << " You probably failed to set a file suffix, or" << std::endl; 00374 msg << " set the suffix to an unsupported type." << std::endl; 00375 e.SetDescription(msg.str().c_str()); 00376 e.SetLocation(ITK_LOCATION); 00377 throw e; 00378 } 00379 00386 InputImagePointer inputPtr = 00387 const_cast< InputImageType * >( this->GetInput(0) ); 00388 00394 unsigned int numDivisions; 00395 00397 if ( m_ImageIO->CanStreamWrite() == false ) 00398 { 00399 otbMsgDebugMacro(<<"WARNING : The ImageFactory selected for the image file <"<<m_FileName.c_str()<<"> is not StreamWrite. So, the streaming method is not use."); 00400 numDivisions = 1; 00401 } 00402 else if ( inputPtr->GetBufferedRegion() == inputPtr->GetLargestPossibleRegion()) 00403 { 00404 otbMsgDebugMacro(<<"WARNING : Buffered region is the largest possible region, there is no need for streaming."); 00405 numDivisions = 1; 00406 00407 } 00408 else 00409 { 00410 numDivisions = static_cast<unsigned int>(CalculateNumberOfStreamDivisions()); 00411 /* 00412 otbDebugMacro(<< "NumberOfStreamDivisions : " << numDivisions); 00413 numDivisionsFromSplitter = m_RegionSplitter->GetNumberOfSplits(outputRegion, numDivisions); 00414 otbDebugMacro(<< "NumberOfStreamSplitterDivisions : " << numDivisionsFromSplitter); 00415 00416 // In tiling streaming mode, we keep the number of divisions calculed by splitter 00417 if ((numDivisionsFromSplitter < numDivisions)||(m_CalculationDivision==SET_TILING_STREAM_DIVISIONS)) 00418 { 00419 numDivisions = numDivisionsFromSplitter; 00420 } 00421 */ 00422 } 00423 00428 InputImageRegionType streamRegion; 00429 00430 // On s'appuie sur 'outputPtr' pour d�terminer les initialiser le 'm_ImageIO' 00431 // Setup the ImageIO 00432 // 00433 m_ImageIO->SetNumberOfDimensions(TInputImage::ImageDimension); 00434 const typename TInputImage::SpacingType& spacing = outputPtr->GetSpacing(); 00435 const typename TInputImage::PointType& origin = outputPtr->GetOrigin(); 00436 const typename TInputImage::DirectionType& direction = outputPtr->GetDirection(); 00437 00438 for (unsigned int i=0; i<TInputImage::ImageDimension; ++i) 00439 { 00440 // Final image size 00441 m_ImageIO->SetDimensions(i,outputRegion.GetSize(i)); 00442 m_ImageIO->SetSpacing(i,spacing[i]); 00443 m_ImageIO->SetOrigin(i,origin[i]); 00444 vnl_vector< double > axisDirection(TInputImage::ImageDimension); 00445 // Please note: direction cosines are stored as columns of the 00446 // direction matrix 00447 for (unsigned int j=0; j<TInputImage::ImageDimension; ++j) 00448 { 00449 axisDirection[j] = direction[j][i]; 00450 } 00451 m_ImageIO->SetDirection( i, axisDirection ); 00452 } 00453 00454 m_ImageIO->SetUseCompression(m_UseCompression); 00455 m_ImageIO->SetMetaDataDictionary(inputPtr->GetMetaDataDictionary()); 00456 00457 00459 // Setup the image IO for writing. 00460 // 00461 m_ImageIO->SetFileName(m_FileName.c_str()); 00462 m_ImageIO->WriteImageInformation(); 00463 00464 00469 otbMsgDebugMacro(<< "Number Of Stream Divisions : " << numDivisions); 00470 00471 // Notify end event observers 00472 this->InvokeEvent( itk::StartEvent() ); 00473 00474 this->UpdateProgress(0); 00475 00476 unsigned int piece; 00477 for (piece = 0; 00478 piece < numDivisions && !this->GetAbortGenerateData(); 00479 piece++) 00480 { 00481 streamRegion = m_RegionSplitter->GetSplit(piece, numDivisions, 00482 outputRegion); 00483 00484 otbMsgDebugMacro(<<"Piece : " << piece ); 00485 otbMsgDebugMacro(<<"RegionSplit : Index(" << streamRegion.GetIndex()[0] 00486 << "," << streamRegion.GetIndex()[1] 00487 << ") Size(" << streamRegion.GetSize()[0] 00488 << "," << streamRegion.GetSize()[1] << ")"); 00489 00490 00491 inputPtr->SetRequestedRegion(streamRegion); 00492 inputPtr->PropagateRequestedRegion(); 00493 inputPtr->UpdateOutputData(); 00494 00495 // Write the whole image 00496 itk::ImageIORegion ioRegion(TInputImage::ImageDimension); 00497 for (unsigned int i=0; i<TInputImage::ImageDimension; ++i) 00498 { 00499 ioRegion.SetSize(i,streamRegion.GetSize(i)); 00500 ioRegion.SetIndex(i,streamRegion.GetIndex(i)); 00501 } 00502 this->SetIORegion( ioRegion ); 00503 m_ImageIO->SetIORegion(m_IORegion); 00504 00505 00506 // Start writing streamregion in the image file 00507 this->GenerateData(); 00508 00509 this->UpdateProgress((float) piece / numDivisions ); 00510 } 00511 00516 if ( !this->GetAbortGenerateData() ) 00517 { 00518 this->UpdateProgress(1.0); 00519 } 00520 00521 // Notify end event observers 00522 this->InvokeEvent( itk::EndEvent() ); 00523 00527 for (idx = 0; idx < this->GetNumberOfOutputs(); ++idx) 00528 { 00529 if (this->GetOutput(idx)) 00530 { 00531 this->GetOutput(idx)->DataHasBeenGenerated(); 00532 } 00533 } 00534 00535 // Write the image keyword list if any 00536 ossimKeywordlist geom_kwl; 00537 ImageKeywordlist otb_kwl; 00538 00539 itk::MetaDataDictionary dict = this->GetInput()->GetMetaDataDictionary(); 00540 itk::ExposeMetaData<ImageKeywordlist>(dict, MetaDataKey::OSSIMKeywordlistKey, otb_kwl); 00541 otb_kwl.convertToOSSIMKeywordlist(geom_kwl); 00542 00543 if(geom_kwl.getSize()>0) 00544 { 00545 otbMsgDevMacro(<<"Exporting keywordlist ..."); 00546 ossimImageHandlerRegistry::instance()->addFactory(ossimImageHandlerSarFactory::instance()); 00547 ossimImageHandler* handler = ossimImageHandlerRegistry::instance()->open(ossimFilename(this->GetFileName())); 00548 00549 if(!handler) 00550 { 00551 otbMsgDevMacro(<<"OSSIM Open Image FAILED !"); 00552 } 00553 else 00554 { 00555 //FIXME find out exactly what we are trying to do here 00556 //there is no meaning to blindly save the kwl if we didn't update it in the pipeline 00557 // handler->setImageGeometry(geom_kwl); 00558 // handler->getImageGeometry()->getProjection()->loadState(geom_kwl); 00559 // 00560 // handler->saveImageGeometry(); 00561 handler->close(); 00562 } 00563 } 00564 00568 this->ReleaseInputs(); 00569 00570 // Mark that we are no longer updating the data in this filter 00571 this->m_Updating = false; 00572 }
| void itk::ProcessObject::UpdateOutputInformation | ( | void | ) | [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.
Watch out for loops in the pipeline
Since we are in a loop, we will want to update. But if we don't modify this filter, then we will not execute because our OutputInformationMTime will be more recent than the MTime of our output.
We now wish to set the PipelineMTime of each output DataObject to the largest of this ProcessObject's MTime, all input DataObject's PipelineMTime, and all input's MTime. We begin with the MTime of this ProcessObject.
Loop through the inputs
Propagate the UpdateOutputInformation call
What is the PipelineMTime of this input? Compare this against our current computation to find the largest one.
Pipeline MTime of the input does not include the MTime of the data object itself. Factor these mtimes into the next PipelineMTime
Call GenerateOutputInformation for subclass specific information. Since UpdateOutputInformation propagates all the way up the pipeline, we need to be careful here to call GenerateOutputInformation only if necessary. Otherwise, we may cause this source to be modified which will cause it to execute again on the next update.
Keep track of the last time GenerateOutputInformation() was called
Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::VTKImageImport< TOutputImage >, and itk::watershed::Segmenter< InputImageType >.
Definition at line 664 of file itkProcessObject.cxx.
References itk::Object::GetMTime(), itk::DataObject::SetPipelineMTime(), and itk::DataObject::UpdateOutputInformation().
Referenced by itk::VTKImageExportBase::UpdateInformationCallback(), and itk::watershed::Segmenter< TInputImage >::UpdateOutputInformation().
00665 { 00666 unsigned long t1, t2; 00667 DataObjectPointerArraySizeType idx; 00668 DataObject *input; 00669 DataObject *output; 00670 00674 if ( m_Updating ) 00675 { 00682 this->Modified(); 00683 return; 00684 } 00685 00692 t1 = this->GetMTime(); 00693 00697 for (idx = 0; idx < m_Inputs.size(); ++idx) 00698 { 00699 if (m_Inputs[idx]) 00700 { 00701 input = m_Inputs[idx]; 00702 00706 m_Updating = true; 00707 input->UpdateOutputInformation(); 00708 m_Updating = false; 00709 00714 t2 = input->GetPipelineMTime(); 00715 00716 if (t2 > t1) 00717 { 00718 t1 = t2; 00719 } 00720 00725 t2 = input->GetMTime(); 00726 if (t2 > t1) 00727 { 00728 t1 = t2; 00729 } 00730 } 00731 } 00732 00740 if (t1 > m_OutputInformationMTime.GetMTime()) 00741 { 00742 for (idx = 0; idx < m_Outputs.size(); ++idx) 00743 { 00744 output = this->GetOutput( static_cast<int>( idx ) ); 00745 if (output) 00746 { 00747 output->SetPipelineMTime(t1); 00748 } 00749 } 00750 00751 this->GenerateOutputInformation(); 00752 00756 m_OutputInformationMTime.Modified(); 00757 } 00758 }
| 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.
Update the progress of the process object. If a ProgressMethod exists, execute it. Then set the Progress ivar to amount. The parameter amount should range between (0,1).
Definition at line 500 of file itkProcessObject.cxx.
Referenced by itk::watershed::Segmenter< TInputImage >::GenerateData(), itk::ProgressReporter::ProgressReporter(), and itk::ProgressReporter::~ProgressReporter().
00501 { 00502 m_Progress = amount; 00503 this->InvokeEvent( ProgressEvent() ); 00504 }
unsigned long otb::StreamingImageFileWriter< TInputImage >::m_BufferMemorySize [private] |
Use to define the method used to calculate number of divisions
Definition at line 190 of file otbStreamingImageFileWriter.h.
CalculationDivisionEnumType otb::StreamingImageFileWriter< TInputImage >::m_CalculationDivision [private] |
Use to determine method of calculation number of divisions
Definition at line 197 of file otbStreamingImageFileWriter.h.
std::string otb::StreamingImageFileWriter< TInputImage >::m_FileName [private] |
ImageFileWriter Parameters
Definition at line 200 of file otbStreamingImageFileWriter.h.
TimeStamp itk::ProcessObject::m_OutputInformationMTime [protected, inherited] |
Time when GenerateOutputInformation was last called.
Definition at line 421 of file itkProcessObject.h.
InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 141 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 144 of file itkLightObject.h.
bool itk::ProcessObject::m_Updating [protected, inherited] |
These ivars are made protected so filters like itkStreamingImageFilter can access them directly. This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.
Reimplemented in otb::HistogramAndTransferFunctionWidget< THistogram, TPixel >, and otb::ImageViewerBase< TPixel, TLabel >.
Definition at line 418 of file itkProcessObject.h.