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Orfeo Toolbox
3.16
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Orfeo Toolbox
3.16
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Implementation of a labeller object that uses Markov Random Fields to classify pixels in an image data set. More...
#include <itkMRFImageFilter.h>
Inheritance diagram for itk::MRFImageFilter< TInputImage, TClassifiedImage >: Collaboration diagram for itk::MRFImageFilter< TInputImage, TClassifiedImage >:Public Member Functions | |
| virtual void | AbortGenerateDataOff () |
| virtual void | AbortGenerateDataOn () |
| unsigned long | AddObserver (const EventObject &event, Command *) |
| unsigned long | AddObserver (const EventObject &event, Command *) const |
| virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
| virtual void | DebugOff () const |
| virtual void | DebugOn () const |
| virtual void | Delete () |
| virtual const bool & | GetAbortGenerateData () |
| Command * | GetCommand (unsigned long tag) |
| bool | GetDebug () const |
| virtual double | GetErrorTolerance () const |
| const InputImageType * | GetInput (void) |
| const InputImageType * | GetInput (unsigned int idx) |
| DataObjectPointerArray & | GetInputs () |
| virtual unsigned int | GetMaximumNumberOfIterations () const |
| MetaDataDictionary & | GetMetaDataDictionary (void) |
| const MetaDataDictionary & | GetMetaDataDictionary (void) const |
| virtual std::vector< double > | GetMRFNeighborhoodWeight () |
| virtual unsigned long | GetMTime () const |
| MultiThreader * | GetMultiThreader () |
| virtual const char * | GetNameOfClass () const |
| const NeighborhoodRadiusType | GetNeighborhoodRadius () const |
| virtual unsigned int | GetNumberOfClasses () const |
| DataObjectPointerArraySizeType | GetNumberOfInputs () const |
| virtual const unsigned int & | GetNumberOfIterations () |
| DataObjectPointerArraySizeType | GetNumberOfOutputs () const |
| virtual const int & | GetNumberOfThreads () |
| virtual DataObjectPointerArraySizeType | GetNumberOfValidRequiredInputs () const |
| OutputImageType * | GetOutput (void) |
| OutputImageType * | GetOutput (unsigned int idx) |
| DataObjectPointerArray & | GetOutputs () |
| virtual const float & | GetProgress () |
| virtual int | GetReferenceCount () const |
| virtual const bool & | GetReleaseDataBeforeUpdateFlag () |
| virtual bool | GetReleaseDataFlag () const |
| virtual double | GetSmoothingFactor () const |
| virtual const StopConditionType & | GetStopCondition () |
| virtual void | GraftNthOutput (unsigned int idx, DataObject *output) |
| virtual void | GraftOutput (DataObject *output) |
| bool | HasObserver (const EventObject &event) const |
| void | InvokeEvent (const EventObject &) |
| void | InvokeEvent (const EventObject &) const |
| virtual DataObjectPointer | MakeOutput (unsigned int idx) |
| virtual void | Modified () const |
| virtual void | PopBackInput () |
| virtual void | PopFrontInput () |
| virtual void | PrepareOutputs () |
| void | Print (std::ostream &os, Indent indent=0) const |
| virtual void | PropagateRequestedRegion (DataObject *output) |
| virtual void | PushBackInput (const InputImageType *image) |
| virtual void | PushFrontInput (const InputImageType *image) |
| virtual void | Register () const |
| 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) |
| void | SetClassifier (typename ClassifierType::Pointer ptrToClassifier) |
| void | SetDebug (bool debugFlag) const |
| virtual void | SetErrorTolerance (double _arg) |
| virtual void | SetInput (const InputImageType *image) |
| virtual void | SetInput (unsigned int, const TInputImage *image) |
| virtual void | SetMaximumNumberOfIterations (unsigned int _arg) |
| void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
| virtual void | SetMRFNeighborhoodWeight (std::vector< double > BetaMatrix) |
| void | SetNeighborhoodRadius (const NeighborhoodRadiusType &) |
| void | SetNeighborhoodRadius (const unsigned long) |
| void | SetNeighborhoodRadius (const unsigned long *radiusArray) |
| virtual void | SetNumberOfClasses (unsigned int _arg) |
| virtual void | SetNumberOfThreads (int _arg) |
| virtual void | SetProgress (float _arg) |
| virtual void | SetReferenceCount (int) |
| virtual void | SetReleaseDataBeforeUpdateFlag (bool _arg) |
| virtual void | SetReleaseDataFlag (bool flag) |
| virtual void | SetSmoothingFactor (double _arg) |
| typedef (Concept::Convertible< unsigned int, LabelledImagePixelType >) UnsignedIntConvertibleToClassifiedCheck | |
| typedef (Concept::Convertible< LabelledImagePixelType, unsigned int >) ClassifiedConvertibleToUnsignedIntCheck | |
| typedef (Concept::Convertible< LabelledImagePixelType, int >) ClassifiedConvertibleToIntCheck | |
| typedef (Concept::Convertible< int, LabelledImagePixelType >) IntConvertibleToClassifiedCheck | |
| typedef (Concept::SameDimension< InputImageDimension, ClassifiedImageDimension >) SameDimensionCheck | |
| virtual void | UnRegister () const |
| virtual void | Update () |
| 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 () |
| static void | SetGlobalWarningDisplay (bool flag) |
Static Public Attributes | |
| static const unsigned int | ClassifiedImageDimension = TClassifiedImage::ImageDimension |
| static const unsigned int | InputImageDimension = TInputImage::ImageDimension |
| static const unsigned int | OutputImageDimension |
Protected Types | |
| typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> | InputToOutputRegionCopierType |
| typedef int | InternalReferenceCountType |
| 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 | |
| MRFImageFilter () | |
| ~MRFImageFilter () | |
| virtual void | AddInput (DataObject *input) |
| virtual void | AddOutput (DataObject *output) |
| virtual void | AfterThreadedGenerateData () |
| void | Allocate () |
| virtual void | AllocateOutputs () |
| 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 |
| virtual void | MinimizeFunctional () |
| virtual void | PrintHeader (std::ostream &os, Indent indent) const |
| 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 () |
| void | PushBackInput (const DataObject *input) |
| void | PushFrontInput (const DataObject *input) |
| virtual void | ReleaseInputs () |
| virtual void | RemoveInput (DataObject *input) |
| virtual void | RemoveOutput (DataObject *output) |
| virtual void | RestoreInputReleaseDataFlags () |
| virtual void | SetNthInput (unsigned int num, DataObject *input) |
| 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) |
Static Protected Member Functions | |
| static ITK_THREAD_RETURN_TYPE | ThreaderCallback (void *arg) |
Protected Attributes | |
| TimeStamp | m_OutputInformationMTime |
| InternalReferenceCountType | m_ReferenceCount |
| SimpleFastMutexLock | m_ReferenceCountLock |
| bool | m_Updating |
Private Types | |
| typedef TInputImage::SizeType | InputImageSizeType |
| typedef LabelStatusImageFaceListType::iterator | LabelStatusImageFaceListIterator |
| typedef LabelStatusImageFacesCalculator::FaceListType | LabelStatusImageFaceListType |
| typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator < LabelStatusImageType > | LabelStatusImageFacesCalculator |
| typedef LabelStatusImageNeighborhoodIterator::RadiusType | LabelStatusImageNeighborhoodRadiusType |
Private Member Functions | |
| MRFImageFilter (const Self &) | |
| void | ApplyICMLabeller () |
| void | operator= (const Self &) |
| virtual void | SetDefaultMRFNeighborhoodWeight () |
Private Attributes | |
| ClassifierType::Pointer | m_ClassifierPtr |
| double * | m_ClassProbability |
| std::vector< double > | m_DummyVector |
| int | m_ErrorCounter |
| double | m_ErrorTolerance |
| InputImageNeighborhoodRadiusType | m_InputImageNeighborhoodRadius |
| unsigned int | m_KernelSize |
| LabelledImageNeighborhoodRadiusType | m_LabelledImageNeighborhoodRadius |
| LabelStatusImagePointer | m_LabelStatusImage |
| LabelStatusImageNeighborhoodRadiusType | m_LabelStatusImageNeighborhoodRadius |
| std::vector< double > | m_MahalanobisDistance |
| unsigned int | m_MaximumNumberOfIterations |
| std::vector< double > | m_MRFNeighborhoodWeight |
| int | m_NeighborhoodSize |
| std::vector< double > | m_NeighborInfluence |
| unsigned int | m_NumberOfClasses |
| unsigned int | m_NumberOfIterations |
| double | m_SmoothingFactor |
| StopConditionType | m_StopCondition |
| int | m_TotalNumberOfPixelsInInputImage |
| int | m_TotalNumberOfValidPixelsInOutputImage |
Implementation of a labeller object that uses Markov Random Fields to classify pixels in an image data set.
This object classifies pixels based on a Markov Random Field (MRF) model.This implementation uses the maximum a posteriori (MAP) estimates for modeling the MRF. The object traverses the data set and uses the model generated by the Mahalanobis distance classifier to gets the the distance between each pixel in the data set to a set of known classes, updates the distances by evaluating the influence of its neighboring pixels (based on a MRF model) and finally, classifies each pixel to the class which has the minimum distance to that pixel (taking the neighborhood influence under consideration). DoNeighborhoodOperation is the function that can be modified to achieve different falvors of MRF filters in derived classes.
The a classified initial labeled image is needed. It is important that the number of expected classes be set before calling the classifier. In our case we have used the ImageClassifer using a Gaussian model to generate the initial labels. This classifier requires the user to ensure that an appropriate membership functions be provided. See the documentation of the image classifier class for more information.
The influence of a neighborhood on a given pixel's classification (the MRF term) is computed by calculating a weighted sum of number of class labels in a three dimensional neighborhood. The basic idea of this neighborhood influence is that if a large number of neighbors of a pixel are of one class, then the current pixel is likely to be of the same class.
The dimensions of the neighborhood is same as the input image dimension and values of the weighting parameters are either specified by the user through the beta matrix parameter. The default weighting table is generated during object construction. The following table shows an example of a 3x3x3 neighborhood and the weighting values used. A 3 x 3 x 3 kernel is used where each value is a nonnegative parameter, which encourages neighbors to be of the same class. In this example, the influence of the pixels in the same slice is assigned a weight 1.7, the influence of the pixels in the same location in the previous and next slice is assigned a weight 1.5, while a weight 1.3 is assigned to the influence of the north, south, east, west and diagonal pixels in the previous and next slices.
![\[\begin{tabular}{ccc} \begin{tabular}{|c|c|c|} 1.3 & 1.3 & 1.3 \\ 1.3 & 1.5 & 1.3 \\ 1.3 & 1.3 & 1.3 \\ \end{tabular} & \begin{tabular}{|c|c|c|} 1.7 & 1.7 & 1.7 \\ 1.7 & 0 & 1.7 \\ 1.7 & 1.7 & 1.7 \\ \end{tabular} & \begin{tabular}{|c|c|c|} 1.3 & 1.3 & 1.3 \\ 1.5 & 1.5 & 1.3 \\ 1.3 & 1.3 & 1.3 \\ \end{tabular} \\ \end{tabular}\]](form_559.png)
The user needs to set the neighborhood size using the SetNeighborhoodRadius functions. The details on the semantics of a neighborhood can be found in the documentation associated with the itkNeighborhood and related objects. NOTE: The size of the neighborhood must match with the size of the neighborhood weighting parameters set by the user.
For minimization of the MRF labeling function the MinimizeFunctional virtual method is called. For our current implementation we use the the iterated conditional modes (ICM) algorithm described by Besag in the paper ``On the Statistical Analysis of Dirty Pictures'' in J. Royal Stat. Soc. B, Vol. 48, 1986.
In each iteration, the algorithm visits each pixel in turn and determines whether to update its classification by computing the influence of the classification of the pixel's neighbors and of the intensity data. On each iteration after the first, we reexamine the classification of a pixel only if the classification of some of its neighbors has changed in the previous iteration. The pixels' classification is updated using a synchronous scheme (iteration by iteration) until the error reaches less than the threshold or the number of iteration exceed the maximum set number of iterations. Note: The current implementation supports betaMatrix default weight for two and three dimensional images only. The default for higher dimension is set to unity. This should be over ridded by custom weights after filter initialization.
Definition at line 129 of file itkMRFImageFilter.h.
| typedef ImageClassifierBase<TInputImage,TClassifiedImage> itk::MRFImageFilter< TInputImage, TClassifiedImage >::ClassifierType |
Type definitions for classifier to be used for the MRF lavbelling.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 199 of file itkMRFImageFilter.h.
| typedef SmartPointer<const Self> itk::MRFImageFilter< TInputImage, TClassifiedImage >::ConstPointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 137 of file itkMRFImageFilter.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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Size type of an std::vector
Definition at line 112 of file itkProcessObject.h.
| typedef LabelledImageIndexType::IndexValueType itk::MRFImageFilter< TInputImage, TClassifiedImage >::IndexValueType |
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 185 of file itkMRFImageFilter.h.
| typedef TInputImage::ConstPointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageConstPointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 149 of file itkMRFImageFilter.h.
| typedef InputImageFaceListType::iterator itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageFaceListIterator |
Definition at line 221 of file itkMRFImageFilter.h.
| typedef InputImageFacesCalculator::FaceListType itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageFaceListType |
Definition at line 218 of file itkMRFImageFilter.h.
| typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TInputImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageFacesCalculator |
Definition at line 215 of file itkMRFImageFilter.h.
| typedef ConstNeighborhoodIterator< TInputImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageNeighborhoodIterator |
Input image neighborhood iterator and kernel size typedef
Definition at line 209 of file itkMRFImageFilter.h.
| typedef InputImageNeighborhoodIterator::RadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageNeighborhoodRadiusType |
Definition at line 212 of file itkMRFImageFilter.h.
| typedef TInputImage::PixelType itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImagePixelType |
Type definition for the input image pixel type.
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 152 of file itkMRFImageFilter.h.
| typedef TInputImage::Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImagePointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 148 of file itkMRFImageFilter.h.
| typedef ImageRegionConstIterator<TInputImage> itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionConstIterator |
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 159 of file itkMRFImageFilter.h.
| typedef ImageRegionIterator<TInputImage> itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionIterator |
Type definition for the input image region iterator
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 158 of file itkMRFImageFilter.h.
| typedef TInputImage::RegionType itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionType |
Type definition for the input image region type.
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Definition at line 155 of file itkMRFImageFilter.h.
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Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 362 of file itkMRFImageFilter.h.
| typedef TInputImage itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageType |
Type definition for the input image.
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 144 of file itkMRFImageFilter.h.
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Typedef for the region copier function object that converts an input region to an output region.
Definition at line 161 of file itkImageToImageFilter.h.
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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 LabelledImageFaceListType::iterator itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageFaceListIterator |
Definition at line 237 of file itkMRFImageFilter.h.
| typedef LabelledImageFacesCalculator::FaceListType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageFaceListType |
Definition at line 234 of file itkMRFImageFilter.h.
| typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TClassifiedImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageFacesCalculator |
Definition at line 231 of file itkMRFImageFilter.h.
| typedef TClassifiedImage::IndexType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageIndexType |
Type definition for the classified image index type.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 184 of file itkMRFImageFilter.h.
| typedef NeighborhoodIterator< TClassifiedImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageNeighborhoodIterator |
Labelled image neighborhood interator typedef
Definition at line 225 of file itkMRFImageFilter.h.
| typedef LabelledImageNeighborhoodIterator::RadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageNeighborhoodRadiusType |
Definition at line 228 of file itkMRFImageFilter.h.
| typedef TClassifiedImage::OffsetType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageOffsetType |
Type definition for the classified image offset type.
Definition at line 188 of file itkMRFImageFilter.h.
| typedef TClassifiedImage::PixelType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImagePixelType |
Type definitions for the classified image pixel type. It has to be the same type as the training image.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 177 of file itkMRFImageFilter.h.
| typedef TClassifiedImage::Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImagePointer |
Type definitions for the labelled image. It is derived from the training image.
Definition at line 173 of file itkMRFImageFilter.h.
| typedef ImageRegionIterator<TClassifiedImage> itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageRegionIterator |
Type definition for the input image region iterator
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 192 of file itkMRFImageFilter.h.
| typedef TClassifiedImage::RegionType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageRegionType |
Type definitions for the classified image pixel type. It has to be the same type as the training image.
Definition at line 181 of file itkMRFImageFilter.h.
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Definition at line 374 of file itkMRFImageFilter.h.
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Definition at line 371 of file itkMRFImageFilter.h.
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Definition at line 368 of file itkMRFImageFilter.h.
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Definition at line 342 of file itkMRFImageFilter.h.
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Labelled status image neighborhood interator typedef
Definition at line 346 of file itkMRFImageFilter.h.
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Definition at line 365 of file itkMRFImageFilter.h.
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Definition at line 341 of file itkMRFImageFilter.h.
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Definition at line 338 of file itkMRFImageFilter.h.
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Definition at line 339 of file itkMRFImageFilter.h.
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Definition at line 340 of file itkMRFImageFilter.h.
| typedef TInputImage::SizeType itk::MRFImageFilter< TInputImage, TClassifiedImage >::NeighborhoodRadiusType |
Radius typedef support.
Definition at line 205 of file itkMRFImageFilter.h.
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Reimplemented from itk::ImageSource< TClassifiedImage >.
Definition at line 79 of file itkImageToImageFilter.h.
| typedef Superclass::OutputImagePointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::OutputImagePointer |
Reimplemented from itk::ImageSource< TClassifiedImage >.
Definition at line 138 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 166 of file itkImageToImageFilter.h.
| typedef SmartPointer<Self> itk::MRFImageFilter< TInputImage, TClassifiedImage >::Pointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 136 of file itkMRFImageFilter.h.
| typedef MRFImageFilter itk::MRFImageFilter< TInputImage, TClassifiedImage >::Self |
Standard class typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 134 of file itkMRFImageFilter.h.
| typedef TInputImage::SizeType itk::MRFImageFilter< TInputImage, TClassifiedImage >::SizeType |
Size and value typedef support.
Definition at line 202 of file itkMRFImageFilter.h.
| typedef ImageToImageFilter<TInputImage,TClassifiedImage> itk::MRFImageFilter< TInputImage, TClassifiedImage >::Superclass |
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 135 of file itkMRFImageFilter.h.
| typedef TClassifiedImage::PixelType itk::MRFImageFilter< TInputImage, TClassifiedImage >::TrainingImagePixelType |
Type definitions for the training image pixel type.
Definition at line 169 of file itkMRFImageFilter.h.
| typedef TClassifiedImage::Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::TrainingImagePointer |
Type definitions for the training image.
Definition at line 166 of file itkMRFImageFilter.h.
| enum itk::MRFImageFilter::StopConditionType |
Definition at line 294 of file itkMRFImageFilter.h.
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End concept checking
Definition at line 26 of file itkMRFImageFilter.txx.
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Definition at line 57 of file itkMRFImageFilter.txx.
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Turn on and off the AbortGenerateData flag.
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Adds an input to the first null position in the input list. Expands the list memory if necessary
Reimplemented in otb::ObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionPrecision, TCoordRep >, otb::DescriptorsListSampleGenerator< TInputImage, TVectorData, TListSample, TLabelListSample, TOutputPrecision, TCoordRep >, otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabelListSample >, and otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >.
Definition at line 144 of file itkProcessObject.cxx.
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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.
References itk::SubjectImplementation::AddObserver().
Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), itk::ProgressAccumulator::RegisterInternalFilter(), otb::ImageFileWriter< TInputImage >::Update(), and otb::WriterWatcherBase::WriterWatcherBase().
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Definition at line 401 of file itkObject.cxx.
References itk::SubjectImplementation::AddObserver().
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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().
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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 264 of file itkImageSource.h.
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Allocate memory for labelled images.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 391 of file itkMRFImageFilter.txx.
References itk::Index< VIndexDimension >::Fill(), and itk::ImageRegionIterator< TImage >::Set().
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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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Definition at line 518 of file itkMRFImageFilter.txx.
References itk::ConstNeighborhoodIterator< TImage, TBoundaryCondition >::IsAtEnd().
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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.
Definition at line 446 of file itkMRFImageFilter.txx.
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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 252 of file itkImageSource.h.
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This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
Definition at line 149 of file itkLightObject.cxx.
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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().
Definition at line 1050 of file itkProcessObject.cxx.
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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::Object.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
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Turn debugging output off.
Definition at line 253 of file itkObject.cxx.
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Turn debugging output on.
Definition at line 242 of file itkObject.cxx.
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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.
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.
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Definition at line 615 of file itkMRFImageFilter.txx.
References itk::Neighborhood< TPixel, VDimension, TAllocator >::GetCenterValue(), itk::ConstNeighborhoodIterator< TImage, TBoundaryCondition >::GetPixel(), itk::NeighborhoodIterator< TImage, TBoundaryCondition >::SetCenterPixel(), and itk::NeighborhoodIterator< TImage, TBoundaryCondition >::SetPixel().
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EnlargeOutputRequestedRegion method.
Reimplemented from itk::ProcessObject.
Definition at line 133 of file itkMRFImageFilter.txx.
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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::ImageSource< TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 162 of file itkMRFImageFilter.txx.
References itk::ImageConstIterator< TImage >::Get().
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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 >.
Definition at line 112 of file itkMRFImageFilter.txx.
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GenerateOutputInformation method.
Reimplemented from itk::ProcessObject.
Definition at line 151 of file itkMRFImageFilter.txx.
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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.
By default we set all the output requested regions to be the same.
Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::watershed::Segmenter< InputImageType >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::SegmentTreeGenerator< ScalarType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, and itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >.
Definition at line 846 of file itkProcessObject.cxx.
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Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
Referenced by itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback().
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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.
Definition at line 414 of file itkObject.cxx.
References itk::Object::GetCommand(), and NULL.
Referenced by itk::Object::GetCommand().
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Get the value of the debug flag.
Definition at line 264 of file itkObject.cxx.
Referenced by otb::ogr::ImageReference< double >::GetDebug().
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Get the value of the global debug output control flag.
Definition at line 381 of file itkObject.cxx.
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Method used internally for getting an input.
Reimplemented from itk::ProcessObject.
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Reimplemented in otb::AngularProjectionSetImageFilter< TInputImage, TOutputImage, TAngleList, TPrecision >, otb::SparseUnmixingImageFilter< TInputImage, TOutputImage, VNbInputImage, TPrecision, TMotherWaveletOperator >, otb::AngularProjectionImageFilter< TInputImage, TOutputImage, TAngleArray, TPrecision >, otb::LabeledSampleLocalizationGenerator< TVectorData >, otb::ConcatenateVectorDataFilter< TVectorData >, itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, and itk::MeshToMeshFilter< TInput, TOutput >.
Definition at line 482 of file itkProcessObject.cxx.
References NULL.
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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.
Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().
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Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
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Reimplemented in otb::ImageMetadataInterfaceBase.
Definition at line 532 of file itkObject.cxx.
References NULL.
Referenced by otb::RenderingImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), itk::Brains2MaskImageIO::CanReadFile(), otb::DataNode< TPrecision, VDimension, TValuePrecision >::CopyFieldList(), otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), otb::Image< TPixel, VImageDimension >::CopyInformation(), itk::GDCMImageIO::GetBodyPart(), itk::GDCMImageIO::GetInstitution(), itk::GDCMImageIO::GetManufacturer(), itk::GDCMImageIO::GetModality(), itk::GDCMImageIO::GetModel(), itk::GDCMImageIO::GetNumberOfSeriesInStudy(), itk::GDCMImageIO::GetNumberOfStudyRelatedSeries(), itk::GDCMImageIO::GetPatientAge(), itk::GDCMImageIO::GetPatientDOB(), itk::GDCMImageIO::GetPatientID(), itk::GDCMImageIO::GetPatientName(), itk::GDCMImageIO::GetPatientSex(), itk::GDCMImageIO::GetScanOptions(), itk::GDCMImageIO::GetStudyDate(), itk::GDCMImageIO::GetStudyDescription(), itk::GDCMImageIO::GetStudyID(), itk::GDCMImageIO::GetValueFromTag(), otb::GDALImageIO::InternalReadImageInformation(), itk::GDCMImageIO::InternalReadImageInformation(), otb::GDALImageIO::InternalWriteImageInformation(), otb::RAMDrivenAdaptativeStreamingManager< TImage >::PrepareStreaming(), itk::DICOMImageIO2::Read(), itk::DICOMImageIO2::ReadImageInformation(), itk::NrrdImageIO::ReadImageInformation(), otb::JPEG2000ImageIO::ReadImageInformation(), itk::MetaImageIO::ReadImageInformation(), itk::VoxBoCUBImageIO::ReadImageInformation(), itk::MRCImageIO::ReadImageInformation(), itk::IPLCommonImageIO::ReadImageInformation(), itk::PhilipsRECImageIO::ReadImageInformation(), itk::AnalyzeImageIO::ReadImageInformation(), itk::Bruker2DSEQImageIO::ReadImageInformation(), otb::ImageMetadataInterfaceBase::SetImage(), itk::NiftiImageIO::SetImageIOMetadataFromNIfTI(), otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >::SetOutputParametersFromImage(), itk::NrrdImageIO::Write(), itk::GDCMImageIO::Write(), and itk::PolygonGroupSpatialObjectXMLFileWriter::WriteFile().
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Reimplemented in otb::ImageMetadataInterfaceBase.
Definition at line 543 of file itkObject.cxx.
References NULL.
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Definition at line 288 of file itkMRFImageFilter.h.
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Return this objects modified time.
Return the modification for this object.
Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, 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, 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::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::SpatialObject< TDimension >, itk::SpatialObject< 3 >, itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::MeshSpatialObject< TMesh >, and itk::SceneSpatialObject< TSpaceDimension >.
Definition at line 286 of file itkObject.cxx.
Referenced by itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< TDimension >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime(), otb::Function::NoStretchRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), itk::VTKImageExportBase::PipelineModifiedCallback(), and itk::ProcessObject::UpdateOutputInformation().
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Return the multithreader used by this class.
Definition at line 280 of file itkProcessObject.h.
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Run-time type information (and related methods).
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
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Get the neighborhood radius
Definition at line 271 of file itkMRFImageFilter.h.
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Reimplemented in itk::RGBGibbsPriorFilter< 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 118 of file itkProcessObject.h.
Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().
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Reimplemented in otb::ImageSeriesFileReaderBase< TImage, TInternalImage >, 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 135 of file itkProcessObject.h.
Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().
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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.
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.
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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.
In this situation, someFilter and anotherFilter are said to constitute a pipeline.
(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.
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Method used internally for getting an output.
Reimplemented from itk::ProcessObject.
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Definition at line 454 of file itkProcessObject.cxx.
References NULL.
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inlineinherited |
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.
Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().
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virtualinherited |
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.
Referenced by itk::WatershedMiniPipelineProgressCommand::Execute(), otb::StreamingImageVirtualWriter< TInputImage >::ObserveSourceFilterProgress(), otb::ImageFileWriter< TInputImage >::ObserveSourceFilterProgress(), itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ReportProgress(), and itk::XMLFilterWatcher::ShowProgress().
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Gets the reference count on this object.
Definition at line 105 of file itkLightObject.h.
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virtualinherited |
Definition at line 512 of file itkProcessObject.cxx.
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virtual |
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virtual |
Get condition that stops the MRF filter (Number of Iterations / Error tolerance )
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inlinestaticinherited |
Definition at line 100 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
Referenced by itk::OutputWindow::DisplayText(), itk::Win32OutputWindow::PromptText(), and itk::Win32OutputWindow::WndProc().
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inlinestaticinherited |
Definition at line 98 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
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virtualinherited |
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.
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virtualinherited |
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:
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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inherited |
Return true if an observer is registered for this event.
Definition at line 467 of file itkObject.cxx.
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inherited |
Call Execute on all the Commands observing this event id.
Definition at line 446 of file itkObject.cxx.
Referenced by otb::Wrapper::Application::AddProcess(), itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback(), and itk::VTKImageExportBase::UpdateDataCallback().
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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.
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virtualinherited |
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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Minimization algorithm to be used.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 505 of file itkMRFImageFilter.txx.
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virtualinherited |
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::SVMModel< TValue, TLabel >, otb::SurfaceAdjacencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, 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, 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 > >, otb::GenericRSTransform< TScalarType, NInputDimensions, NOutputDimensions >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, otb::GCPsToRPCSensorModelImageFilter< TImage >, otb::Polygon< TValue >, otb::ImageRegionAdaptativeSplitter< VImageDimension >, otb::GenericInterpolateImageFunction< TInputImage, TFunction, TBoundaryCondition, TCoordRep >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, VDimension >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, 2 >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, otb::PhysicalToRPCSensorModelImageFilter< TImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, and otb::StatisticsXMLFileReader< TMeasurementVector >.
Definition at line 297 of file itkObject.cxx.
Referenced by otb::Wrapper::InputImageListParameter::AddFromFileName(), otb::Wrapper::InputVectorDataListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddImage(), otb::Wrapper::InputImageListParameter::AddNullElement(), otb::Wrapper::InputVectorDataListParameter::AddNullElement(), otb::Wrapper::StringListParameter::AddNullElement(), otb::VectorDataModel::AddPointToGeometry(), otb::Wrapper::InputVectorDataListParameter::AddVectorData(), otb::Wrapper::InputImageListParameter::ClearValue(), otb::Wrapper::InputVectorDataListParameter::ClearValue(), otb::VectorDataModel::DeleteGeometry(), otb::VectorDataModel::EndGeometry(), otb::Wrapper::InputImageListParameter::Erase(), otb::Wrapper::InputVectorDataListParameter::Erase(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), otb::ImageWidget< TInputImage >::LinearInterpolationOff(), otb::ImageWidget< TInputImage >::LinearInterpolationOn(), itk::MatrixOffsetTransformBase< TScalarType, NInputDimensions, NOutputDimensions >::MatrixOffsetTransformBase(), otb::ogr::ImageReference< double >::Modified(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetAutoMinMax(), otb::BlendingImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetBlendingFunction(), otb::ImageLayerGenerator< TImageLayer >::SetBlendingFunction(), otb::TileMapImageIO::SetCacheDirectory(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetChannelList(), itk::LBFGSBOptimizer::SetCostFunction(), itk::MINC2ImageIO::SetDimensionName(), itk::ImageIOBase::SetDimensions(), itk::ImageIOBase::SetDirection(), otb::Wrapper::InputImageListParameter::SetImageList(), itk::GDCMSeriesFileNames::SetInputDirectory(), otb::HistogramStatisticsFunction< TInputHistogram, TOutput >::SetInputHistogram(), otb::ImageToGenericRSOutputParameters< TImage >::SetInputKeywordList(), otb::Wrapper::InputVectorDataListParameter::SetListFromFileName(), otb::Wrapper::InputImageListParameter::SetListFromFileName(), otb::Function::RenderingFunction< TPixel, TRGBPixel >::SetListSample(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), otb::Wrapper::InputImageListParameter::SetNthFileName(), otb::Wrapper::InputVectorDataListParameter::SetNthFileName(), itk::ImageIOBase::SetNumberOfDimensions(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ImageIOBase::SetOrigin(), otb::ImageToGenericRSOutputParameters< TImage >::SetOutputProjectionRef(), otb::MapProjectionAdapter::SetParameter(), otb::Function::GaussianRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), otb::ImageLayerGenerator< TImageLayer >::SetRenderingFunction(), otb::RenderingImageFilter< TInputImage, TOutputImage >::SetRenderingFunction(), itk::ImageIOBase::SetSpacing(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation(), otb::Wrapper::OutputFilenameParameter::SetValue(), otb::Wrapper::InputFilenameParameter::SetValue(), otb::Wrapper::ListViewParameter::SetValue(), otb::Wrapper::ChoiceParameter::SetValue(), otb::Wrapper::InputVectorDataListParameter::SetVectorDataList(), and otb::MapProjectionAdapter::SetWkt().
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Method for creation through the object factory.
Reimplemented from itk::Object.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
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Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
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Model a stack on the input list by providing a pop back
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 >, and otb::GeometriesSource.
Definition at line 864 of file itkProcessObject.cxx.
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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<<().
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Define a default print header for all objects.
Definition at line 320 of file itkLightObject.cxx.
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Definition at line 478 of file itkObject.cxx.
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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.
Chaining method to print an object's instance variables, as well as its superclasses.
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 65 of file itkMRFImageFilter.txx.
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protectedvirtualinherited |
Define a default print trailer for all objects.
Definition at line 331 of file itkLightObject.cxx.
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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::VTKImageImport< TOutputImage >, and itk::StreamingImageFilter< TInputImage, TOutputImage >.
Definition at line 766 of file itkProcessObject.cxx.
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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.
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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.
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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.
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Reimplemented from itk::ProcessObject.
Definition at line 250 of file itkImageToImageFilter.h.
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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().
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Definition at line 256 of file itkProcessObject.h.
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Definition at line 255 of file itkProcessObject.h.
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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 otb::HooverInstanceFilter< TLabelMap >, itk::InPlaceLabelMapFilter< TInputImage >, itk::InPlaceLabelMapFilter< TImage >, itk::InPlaceLabelMapFilter< TLabelMap >, itk::InPlaceLabelMapFilter< TInputLabelMap >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TInputImageG, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImageImaginaryPart, TOutputImage >, itk::InPlaceImageFilter< TImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::InPlaceImageFilter< TInputImage, TOutputVectorImage >, itk::InPlaceImageFilter< TInputMultiSpectralImage, TOutputImage >, itk::InPlaceImageFilter< TFeatureImage, 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< TInputImageRealPart, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TImage, TImage >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, and otb::LabelMapSVMClassifier< TInputLabelMap >.
Definition at line 886 of file itkProcessObject.cxx.
Referenced by itk::InPlaceImageFilter< TInputImage, TOutputImage >::ReleaseInputs(), and itk::InPlaceLabelMapFilter< TInputImage >::ReleaseInputs().
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Remove all observers .
Definition at line 435 of file itkObject.cxx.
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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.
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Remove the observer with this tag value.
Definition at line 425 of file itkObject.cxx.
Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), and otb::ImageFileWriter< TInputImage >::Update().
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Definition at line 294 of file itkProcessObject.cxx.
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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.
Definition at line 621 of file itkProcessObject.cxx.
Referenced by itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback().
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Restore the cached input ReleaseDataFlags.
Definition at line 1075 of file itkProcessObject.cxx.
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Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetClassifier | ( | typename ClassifierType::Pointer | ptrToClassifier | ) |
Set the pointer to the classifer being used.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 220 of file itkMRFImageFilter.txx.
References itk::SmartPointer< TObjectType >::IsNull().
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Set the value of the debug flag. A non-zero value turns debugging on.
Definition at line 275 of file itkObject.cxx.
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Set/Get the weighting parameters (Beta Matrix). A default 3 x 3 x 3 matrix is provided. However, the user is allowed to override it with their choice of weights for a 3 x 3 x 3 matrix.
Definition at line 291 of file itkMRFImageFilter.txx.
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Set/Get the error tollerance level which is used as a threshold to quit the iterations
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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.
Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().
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Set/Get the image input of this process object.
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Connect one of the operands for pixel-wise addition
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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 in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
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inherited |
Reimplemented in otb::ImageMetadataInterfaceBase.
Definition at line 554 of file itkObject.cxx.
References NULL.
Referenced by otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), and otb::Image< TPixel, VImageDimension >::CopyInformation().
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Set the weighting 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.
Definition at line 352 of file itkMRFImageFilter.txx.
| void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius | ( | const NeighborhoodRadiusType & | radius | ) |
Set the neighborhood radius
Definition at line 268 of file itkMRFImageFilter.txx.
| void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius | ( | const unsigned long | radiusValue | ) |
Sets the radius for the neighborhood, calculates size from the radius, and allocates storage.
Definition at line 237 of file itkMRFImageFilter.txx.
| void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius | ( | const unsigned long * | radiusArray | ) |
Definition at line 252 of file itkMRFImageFilter.txx.
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protectedvirtualinherited |
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(), otb::VectorDataToSpecificDescriptionFilterBase< TVectorData >::AddSupport(), otb::RasterizeVectorDataFilter< TVectorData, TInputImage, TOutputImage >::AddVectorData(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::BinaryThresholdImageFilter(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::ConnectedThresholdImageFilter(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::GetLowerInput(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::GetLowerThresholdInput(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::GetUpperInput(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::GetUpperThresholdInput(), itk::InteriorExteriorMeshFilter< TInputMesh, TOutputMesh, TSpatialFunction >::InteriorExteriorMeshFilter(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::WarpMeshFilter< TInputMesh, TOutputMesh, TDeformationField >::SetDeformationField(), itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >::SetDeformationField(), itk::WarpVectorImageFilter< TInputImage, TOutputImage, 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::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetFixedImage(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::SetFixedImage(), itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >::SetFixedImage(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::SetFixedImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetGradientImage(), itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >::SetImageInput(), itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >::SetImageInput(), itk::PathToPathFilter< TInputPath, TOutputPath >::SetInput(), otb::ProspectModel::SetInput(), itk::MeshToMeshFilter< TInputMesh, TOutputMesh >::SetInput(), otb::GISTableToGISTableFilter< TInputGISTable, TOutputGISTable >::SetInput(), otb::ImageToImageListFilter< TInputImage, TOutputImage >::SetInput(), otb::AtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms::SetInput(), otb::ImageListToRCC8GraphFilter< TInputImage, TOutputGraph >::SetInput(), otb::LineSpatialObjectListToPointSetFilter< TLinesList, TPointSet >::SetInput(), itk::ImageToPathFilter< TInputImage, TOutputPath >::SetInput(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::SetInput(), otb::ImageListToImageListFilter< TInputImage, TOutputImage >::SetInput(), otb::ImageListToImageFilter< TInputImage, TOutputImage >::SetInput(), itk::PathToImageFilter< TInputPath, TOutputImage >::SetInput(), otb::ModulusAndDirectionImageToImageFilter< TInputImage, TInputImageDirection, TOutputImage >::SetInput(), otb::ObjectListToObjectListFilter< TInputList, TOutputList >::SetInput(), itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >::SetInput(), itk::VTKImageExport< TInputImage >::SetInput(), itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetInput(), otb::ImageToEnvelopeVectorDataFilter< TInputImage, TOutputVectorData >::SetInput(), otb::ImageToLineSpatialObjectListFilter< TInputImage >::SetInput(), otb::ImageToOSMVectorDataGenerator< TImage >::SetInput(), otb::SpatialObjectToImageDrawingFilter< TInputSpatialObject, TOutputImage >::SetInput(), otb::Statistics::ListSampleToListSampleFilter< TInputSampleList, TOutputSampleList >::SetInput(), otb::GeometriesToGeometriesFilter::SetInput(), itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >::SetInput(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::SetInput(), otb::VectorizationPathListFilter< TInputModulus, TInputDirection, TOutputPath >::SetInput(), otb::GISTableToVectorDataFilter< TGISTable, TVectorData >::SetInput(), otb::AngularProjectionImageFilter< TInputImage, TOutputImage, TAngleArray, TPrecision >::SetInput(), otb::VectorDataToVectorDataFilter< TInputVectorData, TOutputVectorData >::SetInput(), otb::SparseWvltToAngleMapperListFilter< TInputImageList, TOutputSampleList, VNbInputImages >::SetInput(), otb::LabelMapToVectorDataFilter< TLabelMap, TVectorData, TFieldsFunctor >::SetInput(), otb::RCC8GraphFileWriter< TInputGraph >::SetInput(), itk::ImageToImageFilter< TInputImage, TOutputImage >::SetInput(), otb::VectorDataToImageFilter< TVectorData, TImage >::SetInput(), otb::GISTableToLabelMapFilter< TGISTable, TLabelMap >::SetInput(), otb::VectorDataToGISTableFilter< TVectorData, TGISTable >::SetInput(), itk::ImageFileWriter< TInputImage >::SetInput(), itk::HistogramToImageFilter< THistogram, TFunction >::SetInput(), itk::ImageSeriesWriter< TInputImage, TOutputImage >::SetInput(), otb::LabelMapToGISTableFilter< TLabelMap, TGISTable >::SetInput(), otb::PolygonListToRCC8GraphFilter< TPolygonList, TOutputGraph >::SetInput(), otb::SparseUnmixingImageFilter< TInputImage, TOutputImage, VNbInputImage, TPrecision, TMotherWaveletOperator >::SetInput(), otb::AngularProjectionSetImageFilter< TInputImage, TOutputImage, TAngleList, TPrecision >::SetInput(), otb::VectorDataToMapFilter< TVectorData, TImage >::SetInput(), itk::Statistics::ImageToListGenerator< TImage, TMaskImage >::SetInput(), itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >::SetInput(), otb::VectorDataToLabelMapFilter< TVectorData, TLabelMap >::SetInput(), otb::VectorDataToLabelMapWithAttributesFilter< TVectorData, TLabelMap >::SetInput(), itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >::SetInput(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >::SetInput1(), itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >::SetInput1(), otb::KeyPointSetsMatchingFilter< TPointSet, TDistance >::SetInput1(), itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >::SetInput2(), itk::InterpolateImageFilter< TInputImage, TOutputImage >::SetInput2(), itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >::SetInput2(), otb::KeyPointSetsMatchingFilter< TPointSet, TDistance >::SetInput2(), otb::ModulusAndDirectionImageToImageFilter< TInputImage, TInputImageDirection, TOutputImage >::SetInputDirection(), otb::VectorizationPathListFilter< TInputModulus, TInputDirection, TOutputPath >::SetInputDirection(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputEquivalencyTable(), otb::LikelihoodPathListFilter< TPath, TImage >::SetInputImage(), otb::ImageFittingPolygonListFilter< TPath, TImage >::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), otb::LineSpatialObjectListToRightAnglePointSetFilter< TImage, TLinesList, TPointSet >::SetInputImage(), otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::SetInputImage(), itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >::SetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), itk::watershed::Segmenter< InputImageType >::SetInputImage(), otb::Statistics::ListSampleToBalancedListSampleFilter< TInputSampleList, TLabelSampleList, TOutputSampleList >::SetInputLabel(), otb::PersistentStreamingStatisticsMapFromLabelImageFilter< TInputVectorImage, TLabelImage >::SetInputLabelImage(), otb::SVMImageClassificationFilter< TInputImage, TOutputImage, TMaskImage >::SetInputMask(), otb::SOMImageClassificationFilter< TInputImage, TOutputImage, TSOMMap, TMaskImage >::SetInputMask(), otb::KMeansImageClassificationFilter< TInputImage, TOutputImage, VMaxSampleDimension, TMaskImage >::SetInputMask(), otb::PrintableImageFilter< TInputImage, TMaskImage >::SetInputMask(), otb::PersistentImageToOGRLayerSegmentationFilter< TImageType, TSegmentationFilter >::SetInputMask(), otb::SVMPointSetModelEstimator< TInputPointSet, TTrainingPointSet >::SetInputPointSet(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputSegmentTree(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::SetInputVelocityImage(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::SetLabeledImage(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SetLower(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SetLowerInput(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::SetLowerThreshold(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::SetLowerThresholdInput(), otb::SOMClassifier< TSample, TSOMMap, TLabel >::SetMap(), itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >::SetMaskImage(), itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >::SetMaskImage(), itk::Statistics::ImageToListGenerator< TImage, TMaskImage >::SetMaskImage(), itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetMovingImage(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::SetMovingImage(), itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >::SetMovingImage(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::SetMovingImage(), otb::PersistentImageToOGRDataFilter< TImage >::SetOGRDataSource(), otb::SimpleRcsPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::SetPanInput(), otb::LmvmPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::SetPanInput(), itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >::SetPathInput(), itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >::SetPathInput(), otb::PointSetToDeformationFieldGenerator< TPointSet, TDeformationField >::SetPointSet(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::SetPointSet(), itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SetPriors(), itk::RegionFromReferenceLabelMapFilter< TInputImage >::SetReferenceImage(), itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage(), itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::SetReferenceImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetReferenceImage(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetReferenceImage(), otb::SailModel::SetReflectance(), otb::ROIdataConversion< TInputImage, TInputROIImage >::SetROIImage(), otb::KullbackLeiblerSupervizedDistanceImageFilter< TInputImage1, TInputImage2, TInputROIImage, TOutputImage >::SetTrainingArea(), otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::SetTrainingImage(), otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetTrainingInput(), otb::SVMPointSetModelEstimator< TInputPointSet, TTrainingPointSet >::SetTrainingPointSet(), otb::SailModel::SetTransmittance(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SetUpper(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SetUpperInput(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::SetUpperThreshold(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::SetUpperThresholdInput(), otb::SimpleRcsPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::SetXsInput(), and otb::LmvmPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::SetXsInput().
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protectedvirtualinherited |
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::AutomaticTopologyMeshSource< TOutputMesh >::AutomaticTopologyMeshSource(), itk::BalloonForceFilter< TInputMesh, TOutputMesh >::BalloonForceFilter(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >::CoreAtomImageToDistanceMatrixProcess(), itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >::CoreAtomImageToUnaryCorrespondenceMatrixProcess(), itk::SimplexMeshToTriangleMeshFilter< TInputMesh, TOutputMesh >::CreateTriangles(), itk::DeformableMesh3DFilter< TInputMesh, TOutputMesh >::DeformableMesh3DFilter(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::EquivalenceRelabeler(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::FastMarchingExtensionImageFilter(), otb::FillGapsFilter::FillGapsFilter(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::ImageRegistrationMethod(), itk::ImageSource< TOutputImage >::ImageSource(), itk::Statistics::ImageToListGenerator< TImage, TMaskImage >::ImageToListGenerator(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >::ImageToSpatialObjectRegistrationMethod(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::InsertNewCells(), otb::Statistics::ListSampleToBalancedListSampleFilter< TInputSampleList, TLabelSampleList, TOutputSampleList >::ListSampleToBalancedListSampleFilter(), otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::MeanShiftSmoothingImageFilter(), itk::MedialNodePairCorrespondenceProcess< TSourceImage >::MedialNodePairCorrespondenceProcess(), itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >::MedialNodeTripletCorrespondenceProcess(), itk::MeshSource< TOutputMesh >::MeshSource(), itk::MinimumMaximumImageFilter< TInputImage >::MinimumMaximumImageFilter(), otb::MinMaxAttributesLabelMapFilter< TInputImage >::MinMaxAttributesLabelMapFilter(), itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >::MultiResolutionImageRegistrationMethod(), itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >::MultiScaleHessianBasedMeasureImageFilter(), itk::PathSource< TOutputPath >::PathSource(), otb::PersistentCompareImageFilter< TInputImage >::PersistentCompareImageFilter(), otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabelListSample >::PersistentDescriptorsListSampleGenerator(), otb::PersistentHistogramVectorImageFilter< TInputImage >::PersistentHistogramVectorImageFilter(), otb::PersistentInnerProductVectorImageFilter< TInputImage >::PersistentInnerProductVectorImageFilter(), otb::PersistentMatrixTransposeMatrixImageFilter< TInputImage, TInputImage2 >::PersistentMatrixTransposeMatrixImageFilter(), otb::PersistentMinMaxImageFilter< TInputImage >::PersistentMinMaxImageFilter(), otb::PersistentMinMaxVectorImageFilter< TInputImage >::PersistentMinMaxVectorImageFilter(), otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >::PersistentObjectDetectionClassifier(), otb::PersistentStatisticsImageFilter< TInputImage >::PersistentStatisticsImageFilter(), otb::PersistentStreamingStatisticsMapFromLabelImageFilter< TInputVectorImage, TLabelImage >::PersistentStreamingStatisticsMapFromLabelImageFilter(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::PersistentStreamingStatisticsVectorImageFilter(), otb::PersistentVectorImageToMatrixFilter< TInputImage >::PersistentVectorImageToMatrixFilter(), itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::PointSetToImageRegistrationMethod(), itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >::PointSetToPointSetRegistrationMethod(), otb::ProspectModel::ProspectModel(), itk::RegularSphereMeshSource< TOutputMesh >::RegularSphereMeshSource(), itk::watershed::Relabeler< TScalarType, TImageDimension >::Relabeler(), otb::SailModel::SailModel(), itk::watershed::Segmenter< TInputImage >::Segmenter(), itk::watershed::SegmentTreeGenerator< TScalarType >::SegmentTreeGenerator(), itk::watershed::Segmenter< InputImageType >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::MeshSource< TOutputMesh >::SetOutput(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::Segmenter< InputImageType >::SetOutputImage(), itk::watershed::Segmenter< InputImageType >::SetSegmentTable(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::SimplexMeshAdaptTopologyFilter(), itk::SphereMeshSource< TOutputMesh >::SphereMeshSource(), itk::StatisticsImageFilter< TInputImage >::StatisticsImageFilter(), itk::TriangleMeshToSimplexMeshFilter< TInputMesh, TOutputMesh >::TriangleMeshToSimplexMeshFilter(), itk::TwoOutputExampleImageFilter< TImage >::TwoOutputExampleImageFilter(), itk::VTKPolyDataReader< TOutputMesh >::VTKPolyDataReader(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().
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Set/Get the number of classes.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
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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.
Referenced by otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().
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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.
Referenced by otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::MeanShiftSmoothingImageFilter(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().
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Referenced by itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::FastMarchingImageFilter(), otb::FillGapsFilter::FillGapsFilter(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::ImageToLabelMapWithAttributesFilter(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >::PasteImageFilter(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().
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Referenced by itk::AutomaticTopologyMeshSource< TOutputMesh >::AutomaticTopologyMeshSource(), itk::BalloonForceFilter< TInputMesh, TOutputMesh >::BalloonForceFilter(), itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >::CoreAtomImageToDistanceMatrixProcess(), itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >::CoreAtomImageToUnaryCorrespondenceMatrixProcess(), itk::DeformableMesh3DFilter< TInputMesh, TOutputMesh >::DeformableMesh3DFilter(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::FastMarchingExtensionImageFilter(), otb::FillGapsFilter::FillGapsFilter(), otb::GeometriesSource::GeometriesSource(), itk::ImageSource< TOutputImage >::ImageSource(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::MedialNodePairCorrespondenceProcess< TSourceImage >::MedialNodePairCorrespondenceProcess(), itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >::MedialNodeTripletCorrespondenceProcess(), itk::MeshSource< TOutputMesh >::MeshSource(), itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >::MultiScaleHessianBasedMeasureImageFilter(), otb::OSMDataToVectorDataGenerator::OSMDataToVectorDataGenerator(), itk::PathSource< TOutputPath >::PathSource(), itk::RegularSphereMeshSource< TOutputMesh >::RegularSphereMeshSource(), itk::watershed::Relabeler< TScalarType, TImageDimension >::Relabeler(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::SimplexMeshAdaptTopologyFilter(), itk::SphereMeshSource< TOutputMesh >::SphereMeshSource(), itk::TriangleMeshToSimplexMeshFilter< TInputMesh, TOutputMesh >::TriangleMeshToSimplexMeshFilter(), itk::TwoOutputExampleImageFilter< TImage >::TwoOutputExampleImageFilter(), and itk::VTKPolyDataReader< TOutputMesh >::VTKPolyDataReader().
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Get/Set the number of threads to create when executing.
Reimplemented in itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >, and itk::NonThreadedShrinkImageFilter< TInputImage, TOutputImage >.
Referenced by itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivative(), itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivativePos(), and itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >::PrecalculateChange().
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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)
If there is a delete method, invoke it.
Reimplemented from itk::LightObject.
Definition at line 347 of file itkObject.cxx.
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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.
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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.
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Set/Get the degree of smoothing desired
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protectedvirtualinherited |
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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protectedvirtualinherited |
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().
| itk::MRFImageFilter< TInputImage, TClassifiedImage >::typedef | ( | Concept::Convertible< unsigned int, LabelledImagePixelType > | ) |
Begin concept checking This class requires UnsignedIntConvertibleToClassifiedCheck in the form of (Concept::Convertible<unsigned int, LabelledImagePixelType>)
| itk::MRFImageFilter< TInputImage, TClassifiedImage >::typedef | ( | Concept::Convertible< LabelledImagePixelType, unsigned int > | ) |
This class requires ClassifiedConvertibleToUnsignedIntCheck in the form of (Concept::Convertible<LabelledImagePixelType, unsigned int> )
| itk::MRFImageFilter< TInputImage, TClassifiedImage >::typedef | ( | Concept::Convertible< LabelledImagePixelType, int > | ) |
This class requires ClassifiedConvertibleToIntCheck in the form of (Concept::Convertible<LabelledImagePixelType, int> )
| itk::MRFImageFilter< TInputImage, TClassifiedImage >::typedef | ( | Concept::Convertible< int, LabelledImagePixelType > | ) |
This class requires IntConvertibleToClassifiedCheck in the form of (Concept::Convertible<int, LabelledImagePixelType>)
| itk::MRFImageFilter< TInputImage, TClassifiedImage >::typedef | ( | Concept::SameDimension< InputImageDimension, ClassifiedImageDimension > | ) |
This class requires SameDimensionCheck in the form of (Concept::SameDimension<InputImageDimension, ClassifiedImageDimension>)
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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().
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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.
The following methods are used to coordinate the execution of the data processing pipeline.
Reimplemented in otb::StreamingShrinkImageFilter< TInputImage, TOutputImage >, otb::ImageViewerBase< TPixel, TLabel >, otb::ImageFileWriter< TInputImage >, itk::ImageFileWriter< TInputImage >, otb::MapFileProductWriter< TInputImage >, otb::ImageSeriesFileReaderBase< TImage, TInternalImage >, otb::ImageSeriesFileReaderBase< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >, otb::ImageSeriesFileReaderBase< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >, otb::ImageSeriesFileReaderBase< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >, otb::KmzProductWriter< TInputImage >, itk::ImageSeriesWriter< TInputImage, TOutputImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, otb::VCAImageFilter< TVectorImage >, otb::RCC8GraphFileWriter< TInputGraph >, itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, otb::ListSampleGenerator< TImage, TVectorData >, otb::ScalarBufferToImageFileWriter< TBufferType, TOutputPixelType >, otb::VectorDataFileWriter< TInputVectorData >, otb::VectorDataFileWriter< VectorDataType >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, otb::ConfusionMatrixCalculator< TRefListLabel, TProdListLabel >, otb::ImageViewer< TPixel, TLabel >, otb::PersistentFilterStreamingDecorator< TFilter >, otb::PersistentFilterStreamingDecorator< PersistentMatrixTransposeMatrixImageFilter< TInputImage1, TInputImage2 > >, otb::PersistentFilterStreamingDecorator< PersistentStreamingStatisticsMapFromLabelImageFilter< TInputVectorImage, TLabelImage > >, otb::PersistentFilterStreamingDecorator< PersistentInnerProductVectorImageFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentHistogramVectorImageFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentMinMaxVectorImageFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentShrinkImageFilter< TInputImage, TOutputImage > >, otb::PersistentFilterStreamingDecorator< PersistentMinMaxImageFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, itk::FunctionBase< itk::Point< TCoordRep, 2 >, DefaultDescriptorsType< TOutputPrecision >::Type >, TListSample, TLabelListSample > >, otb::PersistentFilterStreamingDecorator< PersistentImageToOGRLayerSegmentationFilter< TImageType, TSegmentationFilter > >, otb::PersistentFilterStreamingDecorator< PersistentVectorImageToMatrixFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, itk::FunctionBase< itk::Point< TCoordRep, 2 >, DefaultDescriptorType< TFunctionPrecision >::Type > > >, otb::PersistentFilterStreamingDecorator< PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision > >, otb::PersistentFilterStreamingDecorator< PersistentStatisticsImageFilter< TInputImage > >, and otb::PersistentFilterStreamingDecorator< PersistentCompareImageFilter< TInputImage > >.
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(), otb::ImageSeriesFileReader< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), itk::AutoCropLabelMapFilter< TInputImage >::GenerateOutputInformation(), itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >::GenerateOutputInformation(), and itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >::RunSegmentOneStep().
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virtualinherited |
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.
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Actually generate new output
prevent chasing our tail
Prepare all the outputs. This may deallocate previous bulk data.
Propagate the update call - make sure everything we might rely on is up-to-date Must call PropagateRequestedRegion before UpdateOutputData if multiple inputs since they may lead back to the same data object.
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().
Tell all Observers that the filter is starting
GenerateData this object - we have not aborted yet, and our progress before we start to execute is 0.0.
Count the number of required inputs which have been assigned
If we ended due to aborting, push the progress up to 1.0 (since it probably didn't end there)
Notify end event observers
Now we have to mark the data as up to date.
Restore the state of any input ReleaseDataFlags
Release any inputs if marked for release
Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.
Definition at line 908 of file itkProcessObject.cxx.
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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.
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 PipelineMTimeCall 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::watershed::Segmenter< InputImageType >, and itk::VTKImageImport< TOutputImage >.
Definition at line 664 of file itkProcessObject.cxx.
References itk::Object::GetMTime(), itk::DataObject::GetPipelineMTime(), itk::DataObject::SetPipelineMTime(), and itk::DataObject::UpdateOutputInformation().
Referenced by itk::VTKImageExportBase::UpdateInformationCallback().
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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.
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::WatershedMiniPipelineProgressCommand::Execute(), itk::ProgressReporter::ProgressReporter(), and itk::ProgressReporter::~ProgressReporter().
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Labelled Image dimension
Definition at line 196 of file itkMRFImageFilter.h.
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Image dimension
Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.
Definition at line 163 of file itkMRFImageFilter.h.
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Pointer to the classifier to be used for the MRF labelling.
Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 402 of file itkMRFImageFilter.h.
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Definition at line 390 of file itkMRFImageFilter.h.
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Definition at line 399 of file itkMRFImageFilter.h.
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Definition at line 384 of file itkMRFImageFilter.h.
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Definition at line 388 of file itkMRFImageFilter.h.
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Definition at line 376 of file itkMRFImageFilter.h.
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Definition at line 382 of file itkMRFImageFilter.h.
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Definition at line 377 of file itkMRFImageFilter.h.
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Definition at line 394 of file itkMRFImageFilter.h.
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Definition at line 378 of file itkMRFImageFilter.h.
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Definition at line 398 of file itkMRFImageFilter.h.
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Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 381 of file itkMRFImageFilter.h.
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Definition at line 396 of file itkMRFImageFilter.h.
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Definition at line 385 of file itkMRFImageFilter.h.
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Definition at line 397 of file itkMRFImageFilter.h.
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Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.
Definition at line 380 of file itkMRFImageFilter.h.
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Definition at line 391 of file itkMRFImageFilter.h.
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Time when GenerateOutputInformation was last called.
Definition at line 421 of file itkProcessObject.h.
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Number of uses of this object by other objects.
Definition at line 141 of file itkLightObject.h.
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Mutex lock to protect modification to the reference count
Definition at line 144 of file itkLightObject.h.
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Definition at line 389 of file itkMRFImageFilter.h.
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Definition at line 392 of file itkMRFImageFilter.h.
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Definition at line 387 of file itkMRFImageFilter.h.
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Definition at line 386 of file itkMRFImageFilter.h.
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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::ImageViewerBase< TPixel, TLabel >, and otb::HistogramAndTransferFunctionWidget< THistogram, TPixel >.
Definition at line 418 of file itkProcessObject.h.
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ImageDimension constant
Reimplemented from itk::ImageSource< TClassifiedImage >.
Definition at line 92 of file itkImageToImageFilter.h.