#include <itkRGBGibbsPriorFilter.h>
Inheritance diagram for itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >:
Definition at line 47 of file itkRGBGibbsPriorFilter.h.
Public Types | |
| typedef ImageClassifierBase< TInputImage, TClassifiedImage > | ClassifierType |
| typedef SmartPointer< const Self > | ConstPointer |
| typedef DataObject::Pointer | DataObjectPointer |
| typedef std::vector< DataObjectPointer > | DataObjectPointerArray |
| typedef TInputImage::IndexType | IndexType |
| typedef Superclass::IndexValueType | IndexValueType |
| typedef TInputImage::ConstPointer | InputImageConstPointer |
| typedef InputImageFaceListType::iterator | InputImageFaceListIterator |
| typedef InputImageFacesCalculator::FaceListType | InputImageFaceListType |
| typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TInputImage > | InputImageFacesCalculator |
| typedef ConstNeighborhoodIterator< TInputImage > | InputImageNeighborhoodIterator |
| typedef InputImageNeighborhoodIterator::RadiusType | InputImageNeighborhoodRadiusType |
| typedef Superclass::InputImagePixelType | InputImagePixelType |
| typedef TInputImage::Pointer | InputImagePointer |
| typedef Superclass::InputImageRegionConstIterator | InputImageRegionConstIterator |
| typedef Superclass::InputImageRegionIterator | InputImageRegionIterator |
| typedef TInputImage::RegionType | InputImageRegionType |
| typedef TInputImage | InputImageType |
| typedef TInputImage::PixelType | InputImageVecType |
| typedef TInputImage::PixelType | InputPixelType |
| typedef LabelledImageFaceListType::iterator | LabelledImageFaceListIterator |
| typedef LabelledImageFacesCalculator::FaceListType | LabelledImageFaceListType |
| typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TClassifiedImage > | LabelledImageFacesCalculator |
| typedef TClassifiedImage::IndexType | LabelledImageIndexType |
| typedef NeighborhoodIterator< TClassifiedImage > | LabelledImageNeighborhoodIterator |
| typedef LabelledImageNeighborhoodIterator::RadiusType | LabelledImageNeighborhoodRadiusType |
| typedef TClassifiedImage::OffsetType | LabelledImageOffsetType |
| typedef Superclass::LabelledImagePixelType | LabelledImagePixelType |
| typedef TClassifiedImage::Pointer | LabelledImagePointer |
| typedef Superclass::LabelledImageRegionIterator | LabelledImageRegionIterator |
| typedef TClassifiedImage::RegionType | LabelledImageRegionType |
| typedef TClassifiedImage::Pointer | LabelledImageType |
| typedef unsigned int | LabelType |
| typedef vnl_matrix< double > | MatrixType |
| typedef TInputImage::SizeType | NeighborhoodRadiusType |
| typedef OutputImageType::PixelType | OutputImagePixelType |
| typedef Superclass::OutputImagePointer | OutputImagePointer |
| typedef Superclass::OutputImageRegionType | OutputImageRegionType |
| typedef TClassifiedImage | OutputImageType |
| typedef SmartPointer< Self > | Pointer |
| typedef RGBGibbsPriorFilter | Self |
| typedef TInputImage::SizeType | SizeType |
| enum | StopConditionType { MaximumNumberOfIterations = 1, ErrorTolerance } |
| typedef MRFImageFilter< TInputImage, TClassifiedImage > | Superclass |
| typedef TClassifiedImage::PixelType | TrainingImagePixelType |
| typedef TClassifiedImage::Pointer | TrainingImagePointer |
| typedef TClassifiedImage::Pointer | TrainingImageType |
Public Member Functions | |
| virtual void | AbortGenerateDataOff () |
| virtual void | AbortGenerateDataOn () |
| virtual LightObject::Pointer | CreateAnother () const |
| virtual void | DebugOff () const |
| virtual void | DebugOn () const |
| virtual void | Delete () |
| virtual const bool & | GetAbortGenerateData () |
| virtual double | GetCliqueWeight_1 () |
| virtual double | GetCliqueWeight_2 () |
| virtual double | GetCliqueWeight_3 () |
| virtual double | GetCliqueWeight_4 () |
| virtual double | GetCliqueWeight_5 () |
| virtual double | GetCliqueWeight_6 () |
| Command * | GetCommand (unsigned long tag) |
| bool | GetDebug () const |
| virtual double | GetErrorTolerance () |
| const InputImageType * | GetInput (unsigned int idx) |
| const InputImageType * | GetInput (void) |
| DataObjectPointerArray & | GetInputs () |
| LabelledImageType | GetLabelledImage () |
| virtual unsigned int | GetMaximumNumberOfIterations () |
| const MetaDataDictionary & | GetMetaDataDictionary (void) const |
| MetaDataDictionary & | GetMetaDataDictionary (void) |
| virtual unsigned long | GetMTime () const |
| MultiThreader * | GetMultiThreader () |
| virtual const char * | GetNameOfClass () const |
| const NeighborhoodRadiusType | GetNeighborhoodRadius () const |
| virtual unsigned int | GetNumberOfClasses () |
| std::vector< DataObjectPointer >::size_type | GetNumberOfInputs () const |
| virtual const unsigned int & | GetNumberOfIterations () |
| std::vector< DataObjectPointer >::size_type | GetNumberOfOutputs () const |
| virtual const int & | GetNumberOfThreads () |
| virtual std::vector< DataObjectPointer >::size_type | GetNumberOfValidRequiredInputs () const |
| OutputImageType * | GetOutput (unsigned int idx) |
| Get the output data of this process object The output of this *function is not valid until an appropriate either explicitly or implicitly Both the filter *itself and the data object have and both *methods update the data Here are three ways to use * | GetOutput () and make sure the data is valid.In these *examples |
| Return an array with all the outputs of this process object *This is useful for tracing forward in the pipeline to contruct *graphs etc *DataObjectPointerArray & | GetOutputs () |
| virtual const float & | GetProgress () |
| virtual int | GetReferenceCount () const |
| virtual const bool & | GetReleaseDataBeforeUpdateFlag () |
| virtual bool | GetReleaseDataFlag () const |
| virtual double | GetSmoothingFactor () |
| virtual const StopConditionType & | GetStopCondition () |
| virtual void | GraftNthOutput (unsigned int idx, DataObject *output) |
| virtual void | GraftOutput (DataObject *output) |
| bool | HasObserver (const EventObject &event) const |
| Get the output data of this process object The output of this *function is not valid until an appropriate either explicitly or implicitly Both the filter *itself and the data object have and both *methods update the data Here are three ways to use *a image is a pointer to some Image and the *particular ProcessObjects involved are filters The same *examples apply to non | image (e.g.Mesh) data as well.**\code *anotherFilter->SetInput(someFilter->GetOutput()) |
| void | InvokeEvent (const EventObject &) const |
| void | InvokeEvent (const EventObject &) |
| itkStaticConstMacro (OutputImageDimension, unsigned int, TClassifiedImage::ImageDimension) | |
| itkStaticConstMacro (ClassifiedImageDimension, unsigned int, TClassifiedImage::ImageDimension) | |
| itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension) | |
| itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension) | |
| virtual DataObjectPointer | MakeOutput (unsigned int idx) |
| virtual void | Modified () const |
| virtual void | PopBackInput () |
| virtual void | PopFrontInput () |
| virtual void | PrepareOutputs () |
| void | Print (std::ostream &os, Indent indent=0) const |
| virtual void | PropagateRequestedRegion (DataObject *output) |
| 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 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 if an application has *images and they need to run a filter on then *run the filter on then run the filter on 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 this only makes sense for *filters that single type of input **Other uses are also possible For a single input pushing *and popping inputs allow the application to temporarily replace *an input to a filter **virtual void | PushBackInput (const InputImageType *image) |
| virtual void | PushFrontInput (const InputImageType *image) |
| virtual void | Register () const |
| virtual void | ReleaseDataBeforeUpdateFlagOff () |
| virtual void | ReleaseDataBeforeUpdateFlagOn () |
| void | ReleaseDataFlagOff () |
| void | ReleaseDataFlagOn () |
| void | RemoveAllObservers () |
| void | RemoveObserver (unsigned long tag) |
| virtual void | ResetPipeline () |
| virtual void | SetAbortGenerateData (bool _arg) |
| virtual void | SetBoundaryGradient (unsigned int _arg) |
| void | SetClassifier (typename ClassifierType::Pointer ptrToClassifier) |
| set and get the value for Clique weights *virtual void | SetCliqueWeight_1 (double _arg) |
| virtual void | SetCliqueWeight_2 (double _arg) |
| virtual void | SetCliqueWeight_3 (double _arg) |
| virtual void | SetCliqueWeight_4 (double _arg) |
| virtual void | SetCliqueWeight_5 (double _arg) |
| virtual void | SetCliqueWeight_6 (double _arg) |
| virtual void | SetClusterSize (unsigned int _arg) |
| void | SetDebug (bool debugFlag) const |
| Set Get the error tollerance level which is used as a threshold *to quit the iterations *virtual void | SetErrorTolerance (double _arg) |
| virtual void | SetInput (unsigned int, const TInputImage *image) |
| Set Get the image input of this process object *virtual void | SetInput (const InputImageType *image) |
| void | SetLabelledImage (LabelledImageType LabelledImage) |
| virtual void | SetMaximumNumberOfIterations (unsigned int _arg) |
| void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
| void | SetNeighborhoodRadius (const unsigned long *radiusArray) |
| void | SetNeighborhoodRadius (const unsigned long) |
| void | SetNeighborhoodRadius (const NeighborhoodRadiusType &) |
| virtual void | SetNumberOfClasses (unsigned int _arg) |
| Get Set the number of threads to create when executing *virtual void | SetNumberOfThreads (int _arg) |
| virtual void | SetObjectLabel (LabelType _arg) |
| virtual void | SetObjectThreshold (double _arg) |
| virtual void | SetProgress (float _arg) |
| virtual void | SetReferenceCount (int) |
| Turn on off the flags to control whether the bulk data belonging *to the outputs of this ProcessObject are released after being *used by a downstream ProcessObject Default value is off Another *options for controlling memory utilization is the *ReleaseDataBeforeUpdateFlag *virtual void | SetReleaseDataFlag (bool flag) |
| Set Get the degree of smoothing desired **virtual void | SetSmoothingFactor (double _arg) |
| virtual void | SetStartPoint (IndexType _arg) |
| void | SetTrainingImage (TrainingImageType image) |
| virtual void | UnRegister () const |
| *endcode *In the above the two lines of code can be in *either order **Note that it may be more efficient to *use a pipeline than to call | Update () once for each filter in *turn.**For an image |
| *endcode *In the above the two lines of code can be in *either order **Note that | Update () is not called automatically except within a *pipeline as in the first example.When\b streaming(using a *StreamingImageFilter) is activated |
| *endcode **code *someFilter | Update () |
| *image | Update () |
| *anotherFilter | Update () |
| Get the output data of this process object The output of this *function is not valid until an appropriate either explicitly or implicitly Both the filter *itself and the data object have | Update () methods |
| Get the output data of this process object The output of this *function is not valid until an appropriate | Update () method has *been called |
| virtual void | UpdateLargestPossibleRegion () |
| virtual void | UpdateOutputData (DataObject *output) |
| virtual void | UpdateOutputInformation () |
| void | UpdateProgress (float amount) |
Static Public Member Functions | |
| static void | BreakOnError () |
| static bool | GetGlobalWarningDisplay () |
| static void | GlobalWarningDisplayOff () |
| static void | GlobalWarningDisplayOn () |
| static Pointer | New () |
| This is a global flag that controls whether any warning *or error messages are displayed *static void | SetGlobalWarningDisplay (bool flag) |
Public Attributes | |
| Allow people to add remove invoke observers(callbacks) to any ITK *object.This is an implementation of the subject/observer design *pattern.An observer is added by specifying an event to respond to *and an itk unsigned lon | AddObserver )(const EventObject &event, Command *) const |
| 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 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 if an application has *images and they need to run a filter on then *run the filter on then run the filter on 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 is a global flag that controls whether any | debug |
| *endcode *In the above | example |
| 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 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 if an application has *images and they need to run a filter on then *run the filter on then run the filter on 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 this only makes sense for *filters that single type of input **Other uses are also possible For a single input | filter |
| 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 |
| Set the weighting virtual parameters(used in MRF algorithms).This is a *function allowing the users to set the weight matrix by providing a *a 1D array of weights.The default implementation supports a *3 x 3 x 3 kernel.The labeler needs to be extended for a different *kernel size.*/virtual void SetMRFNeighborhoodWeight(std std::vector< double | GetMRFNeighborhoodWeight )() |
| * | image |
| *endcode **In this a someFilter and a anotherFilter are said *to constitute a b pipeline **code * | image |
| 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 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 if an application has *images and they need to run a filter on then *run the filter on then run the filter on * | images |
| 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 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 if an application has *images and they need to run a filter on then *run the filter on | images |
| 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 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 if an application has *images and they need to run a filter on | images |
| 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 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 |
| Get the output data of this process object The output of this *function is not valid until an appropriate either explicitly or implicitly Both the filter *itself and the data object have and both *methods update the data Here are three ways to use *a image is a pointer to some Image | object |
| *endcode *In the above the two lines of code can be in *either order **Note that it may be more efficient to *use a pipeline than to call the data generated is for the requested * | Region |
| *endcode **In this | situation |
Protected Types | |
| typedef ImageToImageFilterDetail::ImageRegionCopier< itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) | InputToOutputRegionCopierType ) |
| typedef ImageRegionIterator< LabelStatusImageType > | LabelStatusImageIterator |
| typedef NeighborhoodIterator< LabelStatusImageType > | LabelStatusImageNeighborhoodIterator |
| typedef LabelStatusImageType::Pointer | LabelStatusImagePointer |
| typedef Image< int, itkGetStaticConstMacro(InputImageDimension) | LabelStatusImageType ) |
| typedef LabelStatusImageType::IndexType | LabelStatusIndexType |
| typedef LabelStatusImageType::RegionType | LabelStatusRegionType |
| typedef ImageToImageFilterDetail::ImageRegionCopier< itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) | OutputToInputRegionCopierType ) |
Protected Member Functions | |
| virtual void | AddInput (DataObject *input) |
| virtual void | AddOutput (DataObject *output) |
| virtual void | AfterThreadedGenerateData () |
| void | Allocate () |
| virtual void | AllocateOutputs () |
| virtual void | ApplyGibbsLabeller () |
| virtual void | ApplyGPImageFilter () |
| virtual void | ApplyMRFImageFilter () |
| virtual void | BeforeThreadedGenerateData () |
| virtual void | CacheInputReleaseDataFlags () |
| virtual void | CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion) |
| virtual void | CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion) |
| virtual void | DoNeighborhoodOperation (const InputImageNeighborhoodIterator &imageIter, LabelledImageNeighborhoodIterator &labelledIter, LabelStatusImageNeighborhoodIterator &labelStatusIter) |
| virtual void | EnlargeOutputRequestedRegion (DataObject *) |
| virtual void | GenerateData () |
| virtual void | GenerateInputRequestedRegion () |
| virtual void | GenerateOutputInformation () |
| virtual void | GenerateOutputRequestedRegion (DataObject *output) |
| const DataObject * | GetInput (unsigned int idx) const |
| virtual const unsigned int & | GetNumberOfRequiredInputs () |
| virtual const unsigned int & | GetNumberOfRequiredOutputs () |
| const DataObject * | GetOutput (unsigned int idx) const |
| ImageSource () | |
| ImageToImageFilter () | |
| virtual void | MinimizeFunctional () |
| bool | PrintObservers (std::ostream &os, Indent indent) const |
| void | PrintSelf (std::ostream &os, Indent indent) const |
| virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
| virtual void | PropagateResetPipeline () |
| **these methods end of hiding the versions from the superclass *ProcessObject whose arguments are DataObjects we re expose *the versions from ProcessObject to avoid warnings about hiding *methods from the superclass *void | PushBackInput (const DataObject *input) |
| * | PushBackInput () |
| * | PushFronInput () in the public section force the *input to be the type expected by an ImageToImageFilter.However |
| void | PushFrontInput (const DataObject *input) |
| virtual void | ReleaseInputs () |
| virtual void | RemoveInput (DataObject *input) |
| virtual void | RemoveOutput (DataObject *output) |
| virtual void | RestoreInputReleaseDataFlags () |
| RGBGibbsPriorFilter () | |
| Protected methods for setting inputs *Subclasses make use of them for setting input *virtual void | SetNthInput (unsigned int num, DataObject *input) |
| Protected methods for setting outputs *Subclasses make use of them for getting output *virtual void | SetNthOutput (unsigned int num, DataObject *output) |
| void | SetNumberOfInputs (unsigned int num) |
| void | SetNumberOfOutputs (unsigned int num) |
| virtual void | SetNumberOfRequiredInputs (unsigned int _arg) |
| virtual void | SetNumberOfRequiredOutputs (unsigned int _arg) |
| virtual int | SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion) |
| virtual void | ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId) |
| ~RGBGibbsPriorFilter () | |
Static Protected Member Functions | |
| static ITK_THREAD_RETURN_TYPE | ThreaderCallback (void *arg) |
Protected Attributes | |
| **these methods end of hiding the versions from the superclass *ProcessObject whose arguments are DataObjects | Here |
| TimeStamp | m_OutputInformationMTime |
| int | m_ReferenceCount |
| SimpleFastMutexLock | m_ReferenceCountLock |
| bool | m_Updating |
| Methods invoked by virtual Print() to print information about the object *including superclasses.Typically not called by the user(use Print()*instead) but used in the hierarchical print process to combine the *output of several classes.*/virtual void PrintSelf(std voi | PrintHeader )(std::ostream &os, Indent indent) const |
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Type definitions for classifier to be used for the MRF lavbelling. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 99 of file itkRGBGibbsPriorFilter.h. |
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Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 59 of file itkRGBGibbsPriorFilter.h. |
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Smart Pointer type to a DataObject. Reimplemented from itk::ProcessObject. Definition at line 62 of file itkImageSource.h. |
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STL Array of SmartPointers to DataObjects Definition at line 103 of file itkProcessObject.h. |
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Definition at line 103 of file itkRGBGibbsPriorFilter.h. |
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Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 73 of file itkRGBGibbsPriorFilter.h. |
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Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 78 of file itkRGBGibbsPriorFilter.h. |
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Definition at line 223 of file itkMRFImageFilter.h. |
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Definition at line 220 of file itkMRFImageFilter.h. |
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Definition at line 217 of file itkMRFImageFilter.h. |
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Input image neighborhood iterator and kernel size typedef Definition at line 211 of file itkMRFImageFilter.h. |
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Definition at line 214 of file itkMRFImageFilter.h. |
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Types from superclass. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 65 of file itkRGBGibbsPriorFilter.h. |
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Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 77 of file itkRGBGibbsPriorFilter.h. |
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Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 69 of file itkRGBGibbsPriorFilter.h. |
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Type definition for the input image region iterator Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 70 of file itkRGBGibbsPriorFilter.h. |
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Type definition for the input image region type. Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >. Definition at line 157 of file itkMRFImageFilter.h. |
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A smart pointer to the input image type. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 76 of file itkRGBGibbsPriorFilter.h. |
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The type of input pixel. Definition at line 102 of file itkRGBGibbsPriorFilter.h. |
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Type definition for the input image pixel type. Definition at line 81 of file itkRGBGibbsPriorFilter.h. |
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Typedef for the region copier function object that converts an input region to an output region. Definition at line 163 of file itkImageToImageFilter.h. |
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Definition at line 239 of file itkMRFImageFilter.h. |
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Definition at line 236 of file itkMRFImageFilter.h. |
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Definition at line 233 of file itkMRFImageFilter.h. |
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Type definition for the classified image index type. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 91 of file itkRGBGibbsPriorFilter.h. |
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Labelled image neighborhood interator typedef Definition at line 227 of file itkMRFImageFilter.h. |
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Definition at line 230 of file itkMRFImageFilter.h. |
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Type definition for the classified image offset type. Definition at line 190 of file itkMRFImageFilter.h. |
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Type definitions for the classified image pixel type. It has to be the same type as the training image. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 72 of file itkRGBGibbsPriorFilter.h. |
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Type definitions for the labelled image. It is derived from the training image. Definition at line 175 of file itkMRFImageFilter.h. |
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Type definition for the input image region iterator Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 71 of file itkRGBGibbsPriorFilter.h. |
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Type definitions for the classified image pixel type. It has to be the same type as the training image. Definition at line 183 of file itkMRFImageFilter.h. |
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Type definitions for the labelled image. It is derived from the training image. Definition at line 88 of file itkRGBGibbsPriorFilter.h. |
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Definition at line 350 of file itkMRFImageFilter.h. |
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Labelled status image neighborhood interator typedef Definition at line 354 of file itkMRFImageFilter.h. |
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Definition at line 348 of file itkMRFImageFilter.h. |
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Definition at line 345 of file itkMRFImageFilter.h. |
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Definition at line 346 of file itkMRFImageFilter.h. |
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Definition at line 347 of file itkMRFImageFilter.h. |
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Type used as identifier for the Labels
Definition at line 96 of file itkRGBGibbsPriorFilter.h. |
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Specify the type of matrix to use. Definition at line 160 of file itkRGBGibbsPriorFilter.h. |
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Radius typedef support. Definition at line 207 of file itkMRFImageFilter.h. |
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Definition at line 71 of file itkImageSource.h. |
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Reimplemented from itk::ImageSource< TClassifiedImage >. Definition at line 140 of file itkMRFImageFilter.h. |
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Superclass typedefs. Reimplemented from itk::ImageSource< TClassifiedImage >. Definition at line 75 of file itkImageToImageFilter.h. |
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Some convenient typedefs. Definition at line 65 of file itkImageSource.h. |
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Typedef for the region copier function object that converts an output region to an input region. Definition at line 168 of file itkImageToImageFilter.h. |
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Smart pointer typedef support Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 58 of file itkRGBGibbsPriorFilter.h. |
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Standard "Self" typedef. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 52 of file itkRGBGibbsPriorFilter.h. |
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Size and value typedef support. Definition at line 204 of file itkMRFImageFilter.h. |
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Standard "Superclass" typedef. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 55 of file itkRGBGibbsPriorFilter.h. |
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Type definitions for the training image pixel type. Definition at line 171 of file itkMRFImageFilter.h. |
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Type definitions for the training image. Definition at line 168 of file itkMRFImageFilter.h. |
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Type definitions for the training image. Definition at line 84 of file itkRGBGibbsPriorFilter.h. |
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Definition at line 300 of file itkMRFImageFilter.h. |
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Turn on and off the AbortGenerateData flag. |
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If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method. Definition at line 254 of file itkImageSource.h. |
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Allocate memory for labelled images. |
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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. |
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Apply MRF Classifier. In this example the images are labelled using Iterated Conditional Mode algorithm by J. Besag, "On statistical analysis of dirty pictures," J. Royal Stat. Soc. B, vol. 48, pp. 259-302, 1986. |
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If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method. Definition at line 242 of file itkImageSource.h. |
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This method is called when itkExceptionMacro executes. It allows the debugger to break on error. |
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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(). |
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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. |
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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). |
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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. |
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Turn debugging output off. |
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Turn debugging output on. |
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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. |
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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 from itk::ProcessObject. |
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A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.
Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. |
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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::ImageToImageFilter< TInputImage, TClassifiedImage >. |
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Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information. Reimplemented from itk::ProcessObject. |
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Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly. Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type. Reimplemented in itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, and itk::watershed::SegmentTreeGenerator< ScalarType >. |
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Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways. |
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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. |
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Get the value of the debug flag. |
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Reimplemented from itk::ProcessObject. |
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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. |
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Get the labelled image. Definition at line 112 of file itkRGBGibbsPriorFilter.h. |
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Get the number of iterations of the Iterated Conditional Mode (ICM) algorithm. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. |
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Return the multithreader used by this class. Definition at line 281 of file itkProcessObject.h. |
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Run-time type information (and related methods). Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. |
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Get the neighborhood radius Definition at line 277 of file itkMRFImageFilter.h. |
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Get the Number of classes. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. |
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Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null. Definition at line 115 of file itkProcessObject.h. |
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Definition at line 132 of file itkProcessObject.h. |
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Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector. Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >. |
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Reimplemented from itk::ProcessObject. |
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Definition at line 130 of file itkProcessObject.h. |
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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. |
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Gets the reference count on this object. Definition at line 98 of file itkLightObject.h. |
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Get condition that stops the MRF filter (Number of Iterations / Error tolerance ) |
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Definition at line 100 of file itkObject.h. References itk::Object::SetGlobalWarningDisplay(). |
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Definition at line 98 of file itkObject.h. References itk::Object::SetGlobalWarningDisplay(). |
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Graft the specified data object onto this ProcessObject's idx'th output. This is the similar to GraftOutput method except is allows you specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfOutputs()). See the GraftOutput for general usage information. |
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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). |
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Return true if an observer is registered for this event. |
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Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object. |
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Call Execute on all the Commands observing this event id. |
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Labelled Image dimension |
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Image dimension Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >. |
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Extract the input image dimension. |
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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. |
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allocate memory space for the filter. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. |
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Method for creation through the object factory. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. |
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Reimplemented from itk::ProcessObject. |
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Reimplemented from itk::ProcessObject. |
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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 >. |
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Cause the object to print itself out. |
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Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. |
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Send the requested region information back up the pipeline (to the filters that preceed this one). Reimplemented in itk::VTKImageImport< TOutputImage >. |
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Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject. |
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Reimplemented from itk::ProcessObject. Definition at line 250 of file itkImageToImageFilter.h. |
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Reimplemented from itk::ProcessObject. Definition at line 252 of file itkImageToImageFilter.h. |
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Increase the reference count (mark as used by another object). Reimplemented from itk::LightObject. |
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Definition at line 254 of file itkProcessObject.h. |
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Definition at line 253 of file itkProcessObject.h. |
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Remove all observers . |
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Remove the observer with this tag value. |
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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. |
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Restore the cached input ReleaseDataFlags. |
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Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways. |
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Set the pointer to the classifer being used. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. |
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Set the threshold for the object size. |
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Set the value of the debug flag. A non-zero value turns debugging on. |
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Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn(). |
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Set the labelled image. |
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Set/Get the number of iteration of the Iterated Conditional Mode (ICM) algorithm. A default value is set at 50 iterations. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. |
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Sets the radius for the neighborhood, calculates size from the radius, and allocates storage. |
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Set the neighborhood radius |
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Set the Number of classes. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. |
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Called to allocate the input array. Copies old inputs. |
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Called to allocate the output array. Copies old outputs. |
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Set the label for the object region. |
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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. |
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Sets the reference count (use with care) Reimplemented from itk::LightObject. |
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Set the image required for training type classifiers. |
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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". |
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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).
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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(). |
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Decrease the reference count (release by another object). Reimplemented from itk::LightObject. |
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Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead. Reimplemented from itk::ProcessObject. |
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Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead. Reimplemented from itk::ProcessObject. |
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Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead. Reimplemented from itk::ProcessObject. |
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Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead. Reimplemented from itk::ProcessObject. |
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Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead. Reimplemented from itk::ProcessObject. |
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Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead. Reimplemented from itk::ProcessObject. |
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Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead. Reimplemented from itk::ProcessObject. |
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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(). |
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Actually generate new output Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >. |
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Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information. Reimplemented in itk::watershed::Segmenter< TInputImage >, and itk::VTKImageImport< TOutputImage >. |
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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. |
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Definition at line 103 of file itkImageToImageFilter.h. |
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Definition at line 94 of file itkObject.h. |
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Definition at line 100 of file itkImageSource.h. |
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Definition at line 103 of file itkImageToImageFilter.h. |
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Reimplemented from itk::ProcessObject. Definition at line 103 of file itkImageToImageFilter.h. |
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Definition at line 293 of file itkMRFImageFilter.h. |
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Definition at line 246 of file itkImageToImageFilter.h. |
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Definition at line 98 of file itkImageSource.h. |
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Definition at line 92 of file itkImageSource.h. |
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Definition at line 103 of file itkImageToImageFilter.h. |
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Definition at line 103 of file itkImageToImageFilter.h. |
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Definition at line 103 of file itkImageToImageFilter.h. |
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Definition at line 103 of file itkImageToImageFilter.h. |
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Time when GenerateOutputInformation was last called. Definition at line 428 of file itkProcessObject.h. |
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Number of uses of this object by other objects. Definition at line 119 of file itkLightObject.h. |
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Mutex lock to protect modification to the reference count Definition at line 122 of file itkLightObject.h. |
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This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops. Definition at line 425 of file itkProcessObject.h. |
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Definition at line 79 of file itkImageSource.h. |
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Definition at line 110 of file itkImageSource.h. |
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Definition at line 88 of file itkImageSource.h. |
1.4.2 written by Dimitri van Heesch,
© 1997-2000