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Orfeo Toolbox
3.16
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FEM Image registration filter. The image registration problem is modeled here with the finite element method. Image registration is, in general, an ill-posed problem. Thus, we use an optimization scheme where the optimization criterion is given by a regularized variational energy. The variational energy arises from modeling the image as a physical body on which external forces act. The body is allowed to deform so as to minimize the applied force. The resistance of the physical body to deformation, determined by the physics associated with the body, serves to regularize the solution. The forces applied to the body are, generally, highly non-linear and so the body is allowed to deform slowly and incrementally. The direction it deforms follows the gradient of the potential energy (the force) we define. The potential energies we may choose from are given by the itk image-to-image metrics. The choices and the associated direction of descent are : Mean Squares (minimize), Normalized Cross-Correlation (maximize) Mutual Information (maximize). Note that we have to set the direction (SetDescentDirection) when we choose a metric. The forces driving the problem may also be given by user-supplied landmarks. The corners of the image, in this example, are always pinned. This example is designed for 2D or 3D images. A rectilinear mesh is generated automatically given the correct element type (Quadrilateral or Hexahedral). Our specific Solver for this example uses trapezoidal time stepping. This is a method for solving a second-order PDE in time. The solution is penalized by the zeroth (mass matrix) and first derivatives (stiffness matrix) of the shape functions. There is an option to perform a line search on the energy after each iteration. Optimal parameter settings require experimentation. The following approach tends to work well : Choose the relative size of density to elasticity (e.g. Rho / E ~= 1.) such that the image deforms locally and slowly. This also affects the stability of the solution. Choose the time step to control the size of the deformation at each step. Choose enough iterations to allow the solution to converge (this may be automated). More...
#include <itkFEMRegistrationFilter.h>
Inheritance diagram for itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >:
Collaboration diagram for itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >:Classes | |
| class | FEMOF |
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 | ImageDimension = FixedImageType::ImageDimension |
| static const unsigned int | InputImageDimension |
| static const unsigned int | OutputImageDimension |
Protected Types | |
| typedef FieldType::Pointer | FieldPointer |
| typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> | InputToOutputRegionCopierType |
| typedef int | InternalReferenceCountType |
| typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> | OutputToInputRegionCopierType |
Protected Member Functions | |
| virtual void | AddInput (DataObject *input) |
| virtual void | AddOutput (DataObject *output) |
| virtual void | AfterThreadedGenerateData () |
| virtual void | AllocateOutputs () |
| void | ApplyImageLoads (SolverType &S, MovingImageType *i1, FixedImageType *i2) |
| void | ApplyLoads (SolverType &S, ImageSizeType Isz, double *spacing=NULL) |
| virtual void | BeforeThreadedGenerateData () |
| virtual void | CacheInputReleaseDataFlags () |
| virtual void | CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion) |
| virtual void | CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion) |
| void | CreateLinearSystemSolver () |
| void | CreateMesh (double ElementsPerSide, Solver &S, ImageSizeType sz) |
| Float | EvaluateEnergy () |
| Float | EvaluateResidual (SolverType &mySolver, Float t) |
| FieldPointer | ExpandVectorField (ExpandFactorsType *expandFactors, FieldType *f) |
| void | FindBracketingTriplet (SolverType &mySolver, Float *a, Float *b, Float *c) |
| virtual void | GenerateData () |
| virtual void | GenerateInputRequestedRegion () |
| virtual void | GenerateOutputInformation () |
| virtual void | GenerateOutputRequestedRegion (DataObject *output) |
| const DataObject * | GetInput (unsigned int idx) const |
| virtual ImageMetricLoadType * | GetLoad () const |
| FloatImageType * | GetMetricImage (FieldType *F) |
| virtual const unsigned int & | GetNumberOfRequiredInputs () |
| virtual const unsigned int & | GetNumberOfRequiredOutputs () |
| const DataObject * | GetOutput (unsigned int idx) const |
| Float | GoldenSection (SolverType &mySolver, Float tol=0.01, unsigned int MaxIters=25) |
| void | InterpolateVectorField (SolverType &S) |
| 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 () |
| void | SampleVectorFieldAtNodes (SolverType &S) |
| 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 Member Functions | |
| FEMRegistrationFilter (const Self &) | |
| void | InitializeField () |
| void | operator= (const Self &) |
FEM Image registration filter. The image registration problem is modeled here with the finite element method. Image registration is, in general, an ill-posed problem. Thus, we use an optimization scheme where the optimization criterion is given by a regularized variational energy. The variational energy arises from modeling the image as a physical body on which external forces act. The body is allowed to deform so as to minimize the applied force. The resistance of the physical body to deformation, determined by the physics associated with the body, serves to regularize the solution. The forces applied to the body are, generally, highly non-linear and so the body is allowed to deform slowly and incrementally. The direction it deforms follows the gradient of the potential energy (the force) we define. The potential energies we may choose from are given by the itk image-to-image metrics. The choices and the associated direction of descent are : Mean Squares (minimize), Normalized Cross-Correlation (maximize) Mutual Information (maximize). Note that we have to set the direction (SetDescentDirection) when we choose a metric. The forces driving the problem may also be given by user-supplied landmarks. The corners of the image, in this example, are always pinned. This example is designed for 2D or 3D images. A rectilinear mesh is generated automatically given the correct element type (Quadrilateral or Hexahedral). Our specific Solver for this example uses trapezoidal time stepping. This is a method for solving a second-order PDE in time. The solution is penalized by the zeroth (mass matrix) and first derivatives (stiffness matrix) of the shape functions. There is an option to perform a line search on the energy after each iteration. Optimal parameter settings require experimentation. The following approach tends to work well : Choose the relative size of density to elasticity (e.g. Rho / E ~= 1.) such that the image deforms locally and slowly. This also affects the stability of the solution. Choose the time step to control the size of the deformation at each step. Choose enough iterations to allow the solution to converge (this may be automated).
Reading images is up to the user. Either set the images using SetMoving/FixedImage or see the ReadImages function.
Definition at line 106 of file itkFEMRegistrationFilter.h.
| typedef SmartPointer<const Self> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ConstPointer |
Reimplemented from itk::ImageToImageFilter< TMovingImage, TFixedImage >.
Definition at line 112 of file itkFEMRegistrationFilter.h.
| typedef double itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::CoordRepType |
Typedef support for the interpolation function
Definition at line 152 of file itkFEMRegistrationFilter.h.
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inherited |
Smart Pointer type to a DataObject.
Reimplemented from itk::ProcessObject.
Definition at line 62 of file itkImageSource.h.
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inherited |
STL Array of SmartPointers to DataObjects
Definition at line 103 of file itkProcessObject.h.
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inherited |
Size type of an std::vector
Definition at line 112 of file itkProcessObject.h.
| typedef VectorLinearInterpolateImageFunction<FieldType,CoordRepType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::DefaultInterpolatorType |
Definition at line 157 of file itkFEMRegistrationFilter.h.
| typedef itk::VectorExpandImageFilter<FieldType,FieldType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ExpanderType |
Definition at line 163 of file itkFEMRegistrationFilter.h.
| typedef ExpanderType::ExpandFactorsType itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ExpandFactorsType |
Definition at line 167 of file itkFEMRegistrationFilter.h.
| typedef itk::ImageRegionIteratorWithIndex<FieldType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::FieldIterator |
Definition at line 147 of file itkFEMRegistrationFilter.h.
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protected |
Re-size the vector field (smaller to larger).
Definition at line 530 of file itkFEMRegistrationFilter.h.
| typedef itk::Image<VectorType,itkGetStaticConstMacro(ImageDimension)> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::FieldType |
Definition at line 141 of file itkFEMRegistrationFilter.h.
| typedef TFixedImage itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::FixedImageType |
Definition at line 121 of file itkFEMRegistrationFilter.h.
| typedef itk::RecursiveMultiResolutionPyramidImageFilter<FixedImageType,FixedImageType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::FixedPyramidType |
Definition at line 170 of file itkFEMRegistrationFilter.h.
| typedef double itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::Float |
Definition at line 133 of file itkFEMRegistrationFilter.h.
| typedef itk::ImageRegionIteratorWithIndex<FloatImageType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::FloatImageIterator |
Definition at line 146 of file itkFEMRegistrationFilter.h.
| typedef Image< float, itkGetStaticConstMacro(ImageDimension) > itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::FloatImageType |
Definition at line 129 of file itkFEMRegistrationFilter.h.
| typedef itk::ImageRegionIteratorWithIndex<FixedImageType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ImageIterator |
Definition at line 145 of file itkFEMRegistrationFilter.h.
| typedef FiniteDifferenceFunctionLoad<MovingImageType,FixedImageType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ImageMetricLoadType |
Instantiate the load class with the correct image type.
Definition at line 179 of file itkFEMRegistrationFilter.h.
| typedef FixedImageType::SizeType itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ImageSizeType |
Definition at line 123 of file itkFEMRegistrationFilter.h.
| typedef itk::VectorIndexSelectionCastImageFilter<FieldType,FloatImageType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::IndexSelectCasterType |
Definition at line 149 of file itkFEMRegistrationFilter.h.
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inherited |
Definition at line 84 of file itkImageToImageFilter.h.
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inherited |
Definition at line 86 of file itkImageToImageFilter.h.
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inherited |
Definition at line 83 of file itkImageToImageFilter.h.
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inherited |
Definition at line 85 of file itkImageToImageFilter.h.
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inherited |
Some convenient typedefs.
Definition at line 82 of file itkImageToImageFilter.h.
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protectedinherited |
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 InterpolatorType::Pointer itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::InterpolatorPointer |
Definition at line 155 of file itkFEMRegistrationFilter.h.
| typedef VectorInterpolateImageFunction<FieldType,CoordRepType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::InterpolatorType |
Definition at line 154 of file itkFEMRegistrationFilter.h.
| typedef std::vector<typename LoadLandmark::Pointer> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::LandmarkArrayType |
Definition at line 137 of file itkFEMRegistrationFilter.h.
| typedef LinearSystemWrapperItpack itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::LinearSystemSolverType |
Definition at line 130 of file itkFEMRegistrationFilter.h.
| typedef Load::ArrayType itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::LoadArray |
Definition at line 134 of file itkFEMRegistrationFilter.h.
| typedef MaterialLinearElasticity itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::MaterialType |
Definition at line 144 of file itkFEMRegistrationFilter.h.
| typedef PDEDeformableRegistrationFunction<FixedImageType,MovingImageType,FieldType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::MetricBaseType |
Definition at line 181 of file itkFEMRegistrationFilter.h.
| typedef MetricBaseType::Pointer itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::MetricBaseTypePointer |
Definition at line 183 of file itkFEMRegistrationFilter.h.
| typedef TMovingImage itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::MovingImageType |
Definition at line 118 of file itkFEMRegistrationFilter.h.
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inherited |
Reimplemented from itk::ImageSource< TFixedImage >.
Definition at line 79 of file itkImageToImageFilter.h.
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inherited |
Definition at line 69 of file itkImageSource.h.
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inherited |
Superclass typedefs.
Reimplemented from itk::ImageSource< TFixedImage >.
Definition at line 75 of file itkImageToImageFilter.h.
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inherited |
Some convenient typedefs.
Definition at line 65 of file itkImageSource.h.
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protectedinherited |
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 FixedImageType::PixelType itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::PixelType |
Definition at line 122 of file itkFEMRegistrationFilter.h.
| typedef SmartPointer<Self> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::Pointer |
Reimplemented from itk::ImageToImageFilter< TMovingImage, TFixedImage >.
Definition at line 111 of file itkFEMRegistrationFilter.h.
| typedef FEMRegistrationFilter itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::Self |
Standard class typedefs.
Reimplemented from itk::ImageToImageFilter< TMovingImage, TFixedImage >.
Definition at line 109 of file itkFEMRegistrationFilter.h.
| typedef SolverCrankNicolson itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::SolverType |
Definition at line 131 of file itkFEMRegistrationFilter.h.
| typedef ImageToImageFilter<TMovingImage, TFixedImage> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::Superclass |
Reimplemented from itk::ImageToImageFilter< TMovingImage, TFixedImage >.
Definition at line 110 of file itkFEMRegistrationFilter.h.
| typedef itk::Vector<float,itkGetStaticConstMacro(ImageDimension)> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::VectorType |
Definition at line 139 of file itkFEMRegistrationFilter.h.
| typedef itk::WarpImageFilter<MovingImageType,FixedImageType, FieldType> itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::WarperType |
Definition at line 143 of file itkFEMRegistrationFilter.h.
| enum itk::fem::FEMRegistrationFilter::Sign |
Definition at line 132 of file itkFEMRegistrationFilter.h.
| itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::FEMRegistrationFilter | ( | ) |
de/constructor
Definition at line 55 of file itkFEMRegistrationFilter.txx.
References itk::SmartPointer< TObjectType >::GetPointer(), NULL, and itk::ImageFunction< TInputImage, TOutput, TCoordRep >::SetInputImage().
| itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::~FEMRegistrationFilter | ( | ) |
Definition at line 49 of file itkFEMRegistrationFilter.txx.
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private |
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virtualinherited |
Turn on and off the AbortGenerateData flag.
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protectedvirtualinherited |
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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inherited |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
Definition at line 389 of file itkObject.cxx.
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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protectedvirtualinherited |
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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protected |
The image loads are entered into the solver.
Definition at line 721 of file itkFEMRegistrationFilter.txx.
References itk::fem::FEMPArray< T >::Find(), itk::fem::Solver::load, and itk::fem::FiniteDifferenceFunctionLoad< TMoving, TFixed >::New().
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The non-image loads are entered into the solver.
Definition at line 749 of file itkFEMRegistrationFilter.txx.
References itk::fem::LoadLandmark::Clone(), itk::fem::Solver::el, itk::fem::Solver::load, itk::fem::LoadBC::New(), itk::fem::Solver::node, NULL, and itk::fem::Solver::Read().
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inlineprotectedvirtualinherited |
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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staticinherited |
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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protectedvirtualinherited |
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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protectedvirtualinherited |
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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protectedvirtualinherited |
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).
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ChooseMetric | ( | float | whichmetric | ) |
Choose the metric by parameter : 0= mean squares, 1=cross correlation, 2=pattern intensity, 3 = mutual information.
Definition at line 211 of file itkFEMRegistrationFilter.txx.
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ComputeJacobian | ( | float | sign = 1.0, |
| FieldType * | field = NULL, |
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| float | smooth = 0.0 |
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| ) |
Compute the jacobian of the current deformation field.
Definition at line 1251 of file itkFEMRegistrationFilter.txx.
References itk::ImageConstIteratorWithIndex< TImage >::GetIndex(), itk::ImageBase< VImageDimension >::GetLargestPossibleRegion(), itk::Image< TPixel, VImageDimension >::GetPixel(), itk::ImageRegion< VImageDimension >::GetSize(), and itk::ImageConstIteratorWithIndex< TImage >::GoToBegin().
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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.
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protected |
Builds the itpack linear system wrapper with appropriate parameters. Currently undefined
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protected |
This function generates a regular mesh of ElementsPerSide^D size
Definition at line 632 of file itkFEMRegistrationFilter.txx.
References itk::fem::MaterialLinearElasticity::E, itk::fem::FEMPArray< T >::Find(), itk::fem::Generate2DRectilinearMesh(), itk::fem::Generate3DRectilinearMesh(), itk::fem::Solver::GenerateGFN(), itk::fem::Solver::InitializeInterpolationGrid(), itk::fem::Solver::mat, itk::fem::Solver::node, NULL, itk::fem::Solver::Read(), itk::ExceptionObject::SetDescription(), and itk::ExceptionObject::SetLocation().
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virtualinherited |
Turn debugging output off.
Definition at line 253 of file itkObject.cxx.
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virtualinherited |
Turn debugging output on.
Definition at line 242 of file itkObject.cxx.
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virtualinherited |
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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inline |
Finds the minimum energy between the current and next solution by linear search.
Definition at line 415 of file itkFEMRegistrationFilter.h.
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inline |
Sets the use of multi-resolution strategy. The control file always uses multi-res.
Definition at line 421 of file itkFEMRegistrationFilter.h.
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inline |
Sets the use of multi-resolution strategy. The control file always uses multi-res.
Definition at line 427 of file itkFEMRegistrationFilter.h.
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::EnforceDiffeomorphism | ( | float | thresh, |
| SolverType & | S, | ||
| bool | onlywriteimages | ||
| ) |
We check the jacobian of the current deformation field. If it is < threshold, we begin diffeomorphism enforcement: 1) Warp the moving image. 2) Set the vector field to zero. 3) Set the warped moving image as the new moving image, resizing if necessary.
Definition at line 1375 of file itkFEMRegistrationFilter.txx.
References itk::FixedArray< TValueType, VLength >::Fill(), itk::fem::FEMPArray< T >::Find(), itk::fem::Solver::GetLinearSystemWrapper(), itk::ImageConstIteratorWithIndex< TImage >::GoToBegin(), itk::ImageConstIteratorWithIndex< TImage >::IsAtEnd(), itk::fem::Solver::load, itk::fem::Solver::node, NULL, itk::ImageRegionIteratorWithIndex< TImage >::Set(), itk::fem::SolverCrankNicolson::SolutionTMinus1Index, and itk::fem::SolverCrankNicolson::TotalSolutionIndex.
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inlinevirtualinherited |
Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.
Reimplemented in itk::MRFImageFilter< TInputImage, TClassifiedImage >, otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, otb::ShapeAttributesLabelMapFilter< TImage, TLabelImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::WatershedImageFilter< TInputImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, otb::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, otb::BandsStatisticsAttributesLabelMapFilter< TImage, TFeatureImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, otb::StereorectificationDeformationFieldSource< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, itk::BinaryReconstructionByDilationImageFilter< TInputImage >, itk::BinaryReconstructionByErosionImageFilter< TInputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, otb::ImportVectorImageFilter< TOutputImageType >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, otb::ImportImageFilter< TOutputImageType >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::BinaryAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::BinaryAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::StatisticsImageFilter< TInputImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::LabelReconstructionByDilationImageFilter< TInputImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ImageSeriesReader< TOutputImage >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::LabelAttributeOpeningImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::ImageFileReader< TOutputImage >, otb::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::LabelAttributeKeepNObjectsImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::LabelMapOverlayImageFilter< TInputImage, TFeatureImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::AttributeRelabelImageFilter< TInputImage, TLabelObject, TLabelObjectValuator, TAttributeAccessor >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, otb::LabelImageToLabelMapWithAdjacencyFilter< TInputImage, TOutputImage >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, otb::LabelObjectOpeningMuParserFilter< TImage, TFunction >, itk::BinaryGrindPeakImageFilter< TInputImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, otb::LabelImageRegionMergingFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >, otb::LabelImageRegionPruningFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::BinaryFillholeImageFilter< TInputImage >, otb::VCAImageFilter< TVectorImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToAttributeImageFilter< TInputImage, TOutputImage, TAttributeAccessor >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TLabelMap, TLabelMap >, itk::LabelMapFilter< LabelMapWithAdjacency< TLabelObject >, LabelMapWithAdjacency< TLabelObject > >, itk::LabelMapFilter< TInputLabelMap, TOutputImage >, itk::LabelMapFilter< TImage, TImage >, itk::LabelMapFilter< TInputLabelMap, TInputLabelMap >, itk::TobogganImageFilter< TInputImage >, otb::ImageFileReader< TOutputImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, otb::MorphologicalPyramid::Resampler< TInputImage, TOutputImage >, otb::LabelMapToLabelImageFilter< TInputImage, TOutputImage >, and itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >.
Definition at line 224 of file itkProcessObject.h.
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Evaluates the image similarity energy by calling the image metric
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Definition at line 1919 of file itkFEMRegistrationFilter.txx.
References itk::fem::Solver::el.
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Definition at line 1660 of file itkFEMRegistrationFilter.txx.
References itk::ImageBase< VImageDimension >::GetLargestPossibleRegion(), and itk::ImageRegion< VImageDimension >::GetSize().
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Definition at line 1936 of file itkFEMRegistrationFilter.txx.
References itk::fem::SolverCrankNicolson::GSMax(), and itk::fem::SolverCrankNicolson::GSSign().
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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::ProcessObject.
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protectedvirtualinherited |
What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierachy. Up till now, the base assumption has been that the largest possible region will be requested of the input.
This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.
Reimplemented from itk::ProcessObject.
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protectedvirtualinherited |
Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.
Default implementation - copy information from first input to all outputs
Reimplemented in otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >, otb::TernaryFunctorImageFilterWithNBands< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunctor >, otb::WaveletFilterBank< TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >, otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >, otb::SurfaceAdjacencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, otb::GenericRSResampleImageFilter< TInputImage, TOutputImage >, otb::SurfaceReflectanceToReflectanceFilter< TInputImage, TOutputImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, otb::VectorRescaleIntensityImageFilter< TInputImage, TOutputImage >, otb::ReflectanceToSurfaceReflectanceImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, otb::PrintableImageFilter< TInputImage, TMaskImage >, otb::PersistentShrinkImageFilter< TInputImage, TOutputImage >, otb::GeometriesProjectionFilter, otb::ImageAndVectorImageOperationFilter< TInputImage, TVectorInputImage, TOutputImage >, otb::WaveletFilterBank< TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD >, itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, otb::SFSTexturesImageFilter< TInputImage, TOutputImage >, otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >, otb::DEMToImageGenerator< TDEMImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::ChangeInformationImageFilter< TInputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, otb::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, otb::MDMDNMFImageFilter< TInputImage, TOutputImage >, otb::ShiftScaleVectorImageFilter< TInputImage, TOutputImage >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, otb::VectorDataToMapFilter< TVectorData, TImage >, otb::FineRegistrationImageFilter< TInputImage, T0utputCorrelation, TOutputDeformationField >, otb::VectorDataProjectionFilter< TInputVectorData, TOutputVectorData >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, otb::VectorDataToLabelMapWithAttributesFilter< TVectorData, TLabelMap >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, otb::StreamingResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, otb::GCPsToRPCSensorModelImageFilter< TImage >, otb::ImageSimulationMethod< TInputVectorData, TSpatialisation, TSimulationStep1, TSimulationStep2, TFTM, TOutputImage >, otb::PCAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >, otb::StereorectificationDeformationFieldSource< TInputImage, TOutputImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, otb::VectorDataToImageFilter< TVectorData, TImage >, otb::MultiChannelsPolarimetricSynthesisFilter< TInputImage, TOutputImage, TFunction >, otb::ChangeLabelImageFilter< TInputImage, TOutputImage >, otb::PersistentHistogramVectorImageFilter< TInputImage >, itk::VTKImageImport< TOutputImage >, otb::MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransformation >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, otb::DisparityMapMedianFilter< TInputImage, TOutputImage, TMask >, otb::FastICAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >, otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >, otb::MultivariateAlterationDetectorImageFilter< TInputImage, TOutputImage >, otb::VectorDataToLabelMapFilter< TVectorData, TLabelMap >, otb::AdhesionCorrectionFilter< TImage, TMask >, otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabelListSample >, otb::ImportVectorImageFilter< TOutputImageType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, otb::PolarimetricSynthesisFilter< TInputImageHH, TInputImageHV, TInputImageVH, TInputImageVV, TOutputImage, TFunction >, itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >, otb::ProjectiveProjectionImageFilter< TInputImage, TOutputImage, TPrecision >, otb::ImportImageFilter< TOutputImageType >, otb::DisparityMapToDEMFilter< TDisparityImage, TInputImage, TOutputDEMImage, TEpipolarGridImage, TMaskImage >, itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::Statistics::ImageToListGenerator< TImage, TMaskImage >, otb::PersistentStatisticsImageFilter< TInputImage >, otb::RasterizeVectorDataFilter< TVectorData, TInputImage, TOutputImage >, otb::OGRDataSourceToLabelImageFilter< TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::ImageSeriesReader< TOutputImage >, otb::ComplexToVectorImageCastFilter< TInputImage, TOutputImage >, otb::ConcatenateScalarValueImageFilter< TInputImage, TOutputImage >, otb::VectorImageToColorAnaglyphVectorImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, otb::MorphologicalPyramidSegmentationFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, otb::SpatialObjectToImageDrawingFilter< TInputSpatialObject, TOutputImage >, otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, otb::InnerProductPCAImageFilter< TInputImage, TOutputImage >, otb::MaximumAutocorrelationFactorImageFilter< TInputImage, TOutputImage >, otb::UnaryFunctorWithIndexWithOutputSizeImageFilter< TInputImage, TOutputImage, TFunction >, itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, otb::BinaryFunctorNeighborhoodVectorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >, otb::BinaryFunctorNeighborhoodVectorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::KullbackLeiblerProfile< itk::ConstNeighborhoodIterator< TInputImage1 >, itk::ConstNeighborhoodIterator< TInputImage2 >, TOutputImage::PixelType > >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GridImageSource< TOutputImage >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageFileReader< TOutputImage >, otb::PersistentCompareImageFilter< TInputImage >, otb::GeodesicMorphologyIterativeDecompositionImageFilter< TImage, TStructuringElement >, itk::GaussianImageSource< TOutputImage >, otb::PersistentMatrixTransposeMatrixImageFilter< TInputImage, TInputImage2 >, otb::PersistentMinMaxImageFilter< TInputImage >, otb::MorphologicalPyramidSynthesisFilter< TInputImage, TOutputImage >, itk::BinaryMaskToNarrowBandPointSetFilter< TInputImage, TOutputMesh >, itk::TileImageFilter< TInputImage, TOutputImage >, otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >, otb::PersistentMinMaxVectorImageFilter< TInputImage >, otb::UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage, TFunction >, otb::PointSetToDeformationFieldGenerator< TPointSet, TDeformationField >, otb::UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage, Functor::LocalGradientOperator< itk::ConstNeighborhoodIterator< TInputImage >, TOutputImage::PixelType > >, otb::UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage, Functor::HorizontalSobelOperator< itk::ConstNeighborhoodIterator< TInputImage >, TOutputImage::PixelType > >, otb::UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage, Functor::VerticalSobelOperator< itk::ConstNeighborhoodIterator< TInputImage >, TOutputImage::PixelType > >, otb::UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage, Functor::SobelOperator< itk::ConstNeighborhoodIterator< TInputImage >, TOutputImage::PixelType > >, otb::UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage, Functor::LocalActivityOperator< itk::ConstNeighborhoodIterator< TInputImage >, TOutputImage::PixelType > >, otb::MultiChannelExtractROI< TInputPixelType, TOutputPixelType >, otb::PhysicalToRPCSensorModelImageFilter< TImage >, otb::VCAImageFilter< TVectorImage >, otb::ForwardFourierMellinTransformImageFilter< TPixel, TInterpol, Dimension >, otb::ImageToPathListAlignFilter< TInputImage, TOutputPath >, otb::SubsampleImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >, otb::LabelMapToSimulatedImageFilter< TInputLabelMap, TSimuStep1, TSimuStep2, TOutputImage >, otb::ClampVectorImageFilter< TInputImage, TOutputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, otb::ExtractROIBase< TInputImage, TOutputImage >, otb::VectorDataFileReader< TOutputVectorData >, otb::SpatialisationFilter< TLabelMap >, otb::ExtractROIBase< VectorImage< TInputPixelType, 2 >, VectorImage< TOutputPixelType, 2 > >, otb::ExtractROIBase< Image< TInputPixel, 2 >, Image< TOutputPixel, 2 > >, otb::ExtractROIBase< VectorImage< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, otb::ClampImageFilter< TInputImage, TOutputImage >, otb::MorphologicalPyramidAnalysisFilter< TInputImage, TOutputImage, TMorphoFilter >, itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >, itk::RandomImageSource< TOutputImage >, otb::LabelImageRegionMergingFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >, otb::MatrixImageFilter< TInputImage, TOutputImage, TMatrix >, otb::ThresholdVectorImageFilter< TInputImage, TOutputImage >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, otb::LabelImageRegionPruningFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >, otb::RemoveCarvingPathFilter< TInputImage, TInputPath, TOutputImage >, otb::AddCarvingPathFilter< TInputImage, TInputPath, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, otb::UnaryFunctorVectorImageFilter< TInputImage, TOutputImage, TFunction >, otb::VectorDataToVectorDataFilter< TInputVectorData, TOutputVectorData >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::GaborImageSource< TOutputImage >, otb::UnaryFunctorVectorImageFilter< TInputImage, TOutputImage, Functor::NormalizeVectorImageFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, otb::VectorDataToVectorDataFilter< TInputVectorData, TInputVectorData >, otb::VectorDataToVectorDataFilter< TVectorData, TVectorData >, otb::PersistentInnerProductVectorImageFilter< TInputImage >, otb::PersistentStreamingStatisticsMapFromLabelImageFilter< TInputVectorImage, TLabelImage >, otb::SinclairImageFilter< TInputImageHH, TInputImageHV, TInputImageVH, TInputImageVV, TOutputImage, TFunction >, otb::PersistentVectorImageToMatrixFilter< TInputImage >, otb::SinclairReciprocalImageFilter< TInputImageHH, TInputImageHV_VH, TInputImageVV, TOutputImage, TFunction >, itk::CropLabelMapFilter< TInputImage >, itk::PadLabelMapFilter< TInputImage >, otb::BSplinesInterpolateTransformDeformationFieldGenerator< TPointSet, TDeformationField >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, otb::LineSpatialObjectListToRightAnglePointSetFilter< TImage, TLinesList, TPointSet >, otb::LabelMapToAttributeImageFilter< TInputImage, TOutputImage, TAttributeAccessor >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ProjectiveProjectionFunctor< TInputImage::PixelType, TOutputImage::PixelType, TPrecision > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SubtractConstantFrom< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorAffineTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputVectorImage, TOutputImage, TFunction >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputVectorImage, Functor::VectorCast< TInputImage::PixelType, TOutputVectorImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::RenderingFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImageImaginaryPart, TOutputImage, Function::ImaginaryToComplex< TInputImageImaginaryPart::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::UnConstrainedLeastSquareFunctor< TInputImage::PixelType, TOutputImage::PixelType, TPrecision > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::HessianToScalar< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorToAmplitudeFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ComplexToVector< TInputImage::PixelType, TOutputImage::PixelType >::FunctorType >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TerraSarBrightnessFunctor< itk::NumericTraits< TInputImage::InternalPixelType >::ValueType, itk::NumericTraits< TOutputImage::InternalPixelType >::ValueType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalCoherencyToReciprocalMuellerFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorShiftScale< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalCovarianceToReciprocalCoherencyFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NCLSUnmixingFunctor< TInputImage::PixelType, TOutputImage::PixelType, TPrecision > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ConcatenateScalarValueFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ISRAUnmixingFunctor< TInputImage::PixelType, TOutputImage::PixelType, TPrecision > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByScalar< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DotProductFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MuellerToReciprocalCovarianceFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToIntensity< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalCovarianceToCoherencyDegreeFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SOMbasedImageFilterFunctor< TInputImage::PixelType, TOutputImage::PixelType, TDistanceMetric, TMap > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TImage, TImage, Functor::Cast< TImage::PixelType, TImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImageRealPart, TOutputImage, Function::RealToComplex< TInputImageRealPart::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Log10Thresholded< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalLinearCovarianceToReciprocalCircularCovarianceFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MuellerToPolarisationDegreeAndPowerFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TImage, TImage, Functor::BinaryNot< TImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalHAlphaFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, otb::OrthoRectificationFilter< TInputImage, TOutputImage, TMapProjection, TInterpolatorPrecision >, otb::GISTableToLabelMapFilter< TGISTable, TLabelMap >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::AutoCropLabelMapFilter< TInputImage >, otb::PointSetToDensityImageFilter< TInputPointSet, TOutputImage, TDensityFunction >, otb::UnaryImageFunctorWithVectorImageFilter< TInputImage, TOutputImage, TFunction >, otb::MultiToMonoChannelExtractROI< TInputPixelType, TOutputPixelType >, otb::RegionImageToRectangularPathListFilter< TInputImage, TOutputPath >, otb::UnaryImageFunctorWithVectorImageFilter< TInputImage, TOutputImage, Functor::ReflectanceToSurfaceReflectanceImageFunctor< TInputImage::InternalPixelType, TOutputImage::InternalPixelType > >, otb::UnaryImageFunctorWithVectorImageFilter< TInputImage, TOutputImage, Functor::ImageToLuminanceImageFunctor< TInputImage::InternalPixelType, TOutputImage::InternalPixelType > >, otb::UnaryImageFunctorWithVectorImageFilter< TInputImage, TOutputImage, Functor::ImageToReflectanceImageFunctor< TInputImage::InternalPixelType, TOutputImage::InternalPixelType > >, otb::UnaryImageFunctorWithVectorImageFilter< TInputImage, TOutputImage, Functor::LuminanceToReflectanceImageFunctor< TInputImage::InternalPixelType, TOutputImage::InternalPixelType > >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::FlipImageFilter< TImage >, itk::FFTComplexToComplexImageFilter< TPixel, NDimension >, itk::FFTComplexToComplexImageFilter< double, NDimension >, itk::FFTComplexToComplexImageFilter< float, NDimension >, otb::BoxAndWhiskerImageFilter< TInputImage >, otb::SVMImageClassificationWithRuleFilter< TInputImage, TOutputImage, TMaskImage >, otb::ImageToEnvelopeVectorDataFilter< TInputImage, TOutputVectorData >, itk::ChangeRegionLabelMapFilter< TInputImage >, otb::FastICAInternalOptimizerVectorImageFilter< TInputImage, TOutputImage >, otb::ImageToGrayscaleAnaglyphImageFilter< TInputImage1, TInputImage2, TOutputImage >, otb::ImageOfVectorsToMonoChannelExtractROI< TInputImage, TOutputImage >, otb::ImageToVectorImageCastFilter< TInputImage, TOutputVectorImage >, itk::VoronoiDiagram2DGenerator< TCoordType >, otb::PerBandVectorImageFilter< TInputImage, TOutputImage, TFilter >, otb::ImageToCarvingPathFilter< TInputImage, TOutputPath >, otb::RadiometricMomentsImageFilter< TInputImage, TOutputImage >, otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >, otb::NormalizeInnerProductPCAImageFilter< TInputImage, TOutputImage >, otb::ImageToProfileFilter< TInputImage, TOutputImage, TFilter, TParameter >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::PermuteAxesImageFilter< TImage >, otb::ImageToProfileFilter< TInputImage, TOutputImage, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TStructuringElement >, unsigned int >, otb::ImageToProfileFilter< TInputImage, TOutputImage, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TStructuringElement >, unsigned int >, otb::DecimateImageFilter< TInputImage, TOutputImage >, otb::ConcatenateVectorImageFilter< TInputImage1, TInputImage2, TOutputImage >, otb::DifferenceImageFilter< TInputImage, TOutputImage >, itk::ImageToParametricSpaceFilter< TInputImage, TOutputMesh >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, otb::TileImageFilter< TImage >, otb::ProfileDerivativeToMultiScaleCharacteristicsFilter< TInputImage, TOutputImage, TLabeledImage >, otb::ExtractROI< TInputPixel, TOutputPixel >, otb::ImageToEdgePathFilter< TInputImage, TOutputPath >, otb::ImportGeoInformationImageFilter< TImage, TSourceImage >, otb::EstimateInnerProductPCAImageFilter< TInputImage, TOutputImage >, otb::ROIdataConversion< TInputImage, TInputROIImage >, otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >, itk::ImageToVectorImageFilter< TInputImage >, itk::ParametricSpaceToImageSpaceMeshFilter< TInputMesh, TOutputMesh >, otb::ImageListToImageListApplyFilter< TInputImageList, TOutputImageList, TFilter >, otb::ImageFileReader< TOutputImage >, otb::MorphologicalPyramid::Resampler< TInputImage, TOutputImage >, otb::ImageToPointSetFilter< TInputImage, TOutputPointSet >, otb::ProfileToProfileDerivativeFilter< TInputImage, TOutputImage >, otb::VectorImageTo3DScalarImageFilter< TInputImage, TOutputImage >, itk::ImageToMeshFilter< TInputImage, TOutputMesh >, otb::ImageListToVectorImageFilter< TImageList, TVectorImage >, otb::VectorImageToImageListFilter< TVectorImageType, TImageList >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, otb::PointSetFileReader< TOutputPointSet >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ProjectiveProjectionFunctor< TInputImage::PixelType, TOutputImage::PixelType, TPrecision > >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::UnConstrainedLeastSquareFunctor< TInputImage::PixelType, TOutputImage::PixelType, TPrecision > >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalCoherencyToReciprocalMuellerFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalCovarianceToReciprocalCoherencyFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NCLSUnmixingFunctor< TInputImage::PixelType, TOutputImage::PixelType, TPrecision > >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ISRAUnmixingFunctor< TInputImage::PixelType, TOutputImage::PixelType, TPrecision > >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MuellerToReciprocalCovarianceFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalCovarianceToCoherencyDegreeFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MuellerToPolarisationDegreeAndPowerFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, otb::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalHAlphaFunctor< TInputImage::PixelType, TOutputImage::PixelType > >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, and itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >.
Definition at line 1095 of file itkProcessObject.cxx.
Referenced by main().
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protectedvirtualinherited |
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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virtualinherited |
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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inherited |
Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.
Definition at line 414 of file itkObject.cxx.
References itk::Object::GetCommand(), and NULL.
Referenced by itk::Object::GetCommand().
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Definition at line 454 of file itkFEMRegistrationFilter.h.
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inherited |
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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Outputs the FE deformation field interpolated over the entire image domain.
Definition at line 259 of file itkFEMRegistrationFilter.h.
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Gets the stiffness Matrix weight.
Definition at line 384 of file itkFEMRegistrationFilter.h.
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inline |
Definition at line 229 of file itkFEMRegistrationFilter.h.
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Definition at line 243 of file itkFEMRegistrationFilter.h.
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staticinherited |
Get the value of the global debug output control flag.
Definition at line 381 of file itkObject.cxx.
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Definition at line 456 of file itkFEMRegistrationFilter.h.
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inherited |
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inherited |
Method used internally for getting an input.
Reimplemented from itk::ProcessObject.
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protectedinherited |
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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inlineinherited |
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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virtual |
Get a pointer to the interpolator function.
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inline |
Get the image that gives the jacobian of the deformation field.
Definition at line 254 of file itkFEMRegistrationFilter.h.
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Set the solver's current load.
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inherited |
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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inherited |
Reimplemented in otb::ImageMetadataInterfaceBase.
Definition at line 543 of file itkObject.cxx.
References NULL.
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Set/Get the Metric.
Definition at line 459 of file itkFEMRegistrationFilter.h.
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Calculates the metric over the domain given the vector field.
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Definition at line 221 of file itkFEMRegistrationFilter.h.
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Definition at line 240 of file itkFEMRegistrationFilter.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< TMovingImage, TFixedImage >.
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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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Definition at line 241 of file itkFEMRegistrationFilter.h.
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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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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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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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Definition at line 512 of file itkProcessObject.cxx.
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Definition at line 304 of file itkFEMRegistrationFilter.h.
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Get the reference image warped to the target image. Must first apply the warp using WarpImage()
Definition at line 248 of file itkFEMRegistrationFilter.h.
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Definition at line 343 of file itkFEMRegistrationFilter.h.
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Sets the boolean for writing the displacement field to a file.
Definition at line 445 of file itkFEMRegistrationFilter.h.
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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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Definition at line 98 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
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Finds the optimum value between the last two solutions and sets the current solution to that value. Uses Evaluate Residual;
Definition at line 2025 of file itkFEMRegistrationFilter.txx.
References itk::fem::SolverCrankNicolson::SetEnergyToMin().
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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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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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Return true if an observer is registered for this event.
Definition at line 467 of file itkObject.cxx.
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Definition at line 1071 of file itkFEMRegistrationFilter.txx.
References itk::ImageConstIteratorWithIndex< TImage >::GoToBegin(), itk::ImageConstIteratorWithIndex< TImage >::IsAtEnd(), and itk::ImageRegionIteratorWithIndex< TImage >::Set().
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Interpolates the vector field over the domain. Our convention is to always keep the vector field at the scale of the original images.
Definition at line 1102 of file itkFEMRegistrationFilter.txx.
References itk::fem::Solver::el, itk::fem::Element::Node::GetDegreeOfFreedom(), itk::fem::Solver::GetElementAtPoint(), itk::fem::Element::GetLocalFromGlobalCoordinates(), itk::fem::SolverCrankNicolson::GetLS(), itk::fem::Element::GetNode(), itk::fem::Element::GetNumberOfNodes(), itk::fem::Solution::GetSolutionValue(), itk::ImageConstIteratorWithIndex< TImage >::GoToBegin(), itk::fem::Element::ShapeFunctions(), and itk::fem::SolverCrankNicolson::TotalSolutionIndex.
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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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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.
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::IterativeSolve | ( | SolverType & | S | ) |
The solution loop
Definition at line 933 of file itkFEMRegistrationFilter.txx.
References itk::fem::SolverCrankNicolson::AddToDisplacements(), itk::fem::Solver::AssembleF(), itk::fem::SolverCrankNicolson::AssembleFforTimeStep(), itk::fem::SolverCrankNicolson::GetCurrentMaxSolution(), and itk::fem::SolverCrankNicolson::Solve().
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Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().
Reimplemented from itk::ProcessObject.
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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().
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::MultiResSolve | ( | ) |
The solution loop for a simple multi-resolution strategy.
Definition at line 1763 of file itkFEMRegistrationFilter.txx.
References itk::fem::Solver::AssembleK(), itk::fem::SolverCrankNicolson::AssembleKandM(), itk::fem::Solver::GetNumberOfDegreesOfFreedom(), itk::ImageConstIteratorWithIndex< TImage >::GoToBegin(), itk::fem::SolverCrankNicolson::InitializeForSolution(), itk::fem::LinearSystemWrapperItpack::JacobianConjugateGradient(), itk::fem::SolverCrankNicolson::SetAlpha(), itk::fem::SolverCrankNicolson::SetDeltatT(), itk::fem::Solver::SetLinearSystemWrapper(), itk::fem::LinearSystemWrapperItpack::SetMaximumNonZeroValuesInMatrix(), itk::fem::LinearSystemWrapperItpack::SetMaximumNumberIterations(), itk::fem::SolverCrankNicolson::SetRho(), and itk::fem::LinearSystemWrapperItpack::SetTolerance().
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Method for creation through the object factory.
Reimplemented from itk::Object.
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Model a stack on the input list by providing a pop back
Reimplemented from itk::ProcessObject.
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virtualinherited |
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< TMovingImage, TFixedImage >.
Definition at line 2086 of file itkFEMRegistrationFilter.txx.
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Define a default print trailer for all objects.
Definition at line 331 of file itkLightObject.cxx.
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::PrintVectorField | ( | unsigned int | modnum = 1000 | ) |
Definition at line 1737 of file itkFEMRegistrationFilter.txx.
References itk::ImageConstIteratorWithIndex< TImage >::GoToBegin().
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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.
| bool itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::ReadConfigFile | ( | const char * | fname | ) |
Read the configuration file to set up the example parameters
Definition at line 332 of file itkFEMRegistrationFilter.txx.
References itk::fem::FEMLightObject::SkipWhiteSpace().
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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.
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::RunRegistration | ( | void | ) |
Call this to register two images.
Definition at line 122 of file itkFEMRegistrationFilter.txx.
References itk::fem::Solver::AssembleK(), itk::fem::SolverCrankNicolson::AssembleKandM(), itk::fem::Solver::GetNumberOfDegreesOfFreedom(), itk::fem::SolverCrankNicolson::InitializeForSolution(), itk::fem::LinearSystemWrapperItpack::JacobianConjugateGradient(), itk::fem::SolverCrankNicolson::SetAlpha(), itk::fem::SolverCrankNicolson::SetDeltatT(), itk::fem::Solver::SetLinearSystemWrapper(), itk::fem::LinearSystemWrapperItpack::SetMaximumNonZeroValuesInMatrix(), itk::fem::LinearSystemWrapperItpack::SetMaximumNumberIterations(), itk::fem::SolverCrankNicolson::SetRho(), and itk::fem::LinearSystemWrapperItpack::SetTolerance().
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This is used for changing between mesh resolutions.
Definition at line 1687 of file itkFEMRegistrationFilter.txx.
References itk::fem::Solver::GetLinearSystemWrapper(), itk::fem::Solver::node, itk::fem::SolverCrankNicolson::SolutionTMinus1Index, and itk::fem::SolverCrankNicolson::TotalSolutionIndex.
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Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
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Set alpha for the trapezoidal rule (usually 1.0 in our experiments).
Definition at line 365 of file itkFEMRegistrationFilter.h.
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Sets the file name for the FEM multi-resolution registration. One can also set the parameters in code.
Definition at line 452 of file itkFEMRegistrationFilter.h.
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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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Sets the FE deformation field.
Definition at line 261 of file itkFEMRegistrationFilter.h.
References itk::ImageBase< VImageDimension >::GetLargestPossibleRegion(), and itk::ImageRegion< VImageDimension >::GetSize().
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Tries to maximize energy
Definition at line 408 of file itkFEMRegistrationFilter.h.
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Tries to minimize energy
Definition at line 402 of file itkFEMRegistrationFilter.h.
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Sets the filename for the vector field component images.
Definition at line 310 of file itkFEMRegistrationFilter.h.
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Sets the stiffness Matrix weight.
Definition at line 378 of file itkFEMRegistrationFilter.h.
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This function allows one to set the element and its material externally.
Definition at line 467 of file itkFEMRegistrationFilter.h.
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Sets the energy below which we decide the solution has converged.
Definition at line 372 of file itkFEMRegistrationFilter.h.
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Definition at line 227 of file itkFEMRegistrationFilter.h.
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::SetFixedImage | ( | FixedImageType * | T | ) |
Define the target (fixed) image.
Definition at line 192 of file itkFEMRegistrationFilter.txx.
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Image similarity energy weight
Definition at line 396 of file itkFEMRegistrationFilter.h.
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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 the interpolator function.
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These functions control the use of landmark constraints. Currently, landmarks must be read in from a file.
Definition at line 269 of file itkFEMRegistrationFilter.h.
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This sets the line search's max iterations.
Definition at line 433 of file itkFEMRegistrationFilter.h.
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This sets the pointer to the material.
Definition at line 470 of file itkFEMRegistrationFilter.h.
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Setting the maximum iterations stops the solution after i iterations regardless of energy.
| i | number of elements |
| which | determines the resolution of the solution process the call is applied to. |
Definition at line 352 of file itkFEMRegistrationFilter.h.
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Definition at line 475 of file itkFEMRegistrationFilter.h.
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The FEM filter can generate its own mesh for 2 or 3 dimensions, if none is provided. The mesh is generated for quadrilaterals in 2D and hexahedra in 3D. This function sets the number of elements generated along each dimension at the resolution designated by "which". E.g. to generate 10 pixels per element in each dimension in the 1st resolution, use SetMeshResolution(10,0);.
Definition at line 321 of file itkFEMRegistrationFilter.h.
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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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Definition at line 460 of file itkFEMRegistrationFilter.h.
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One can set the reference file names to read images from files.
Definition at line 216 of file itkFEMRegistrationFilter.h.
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::SetMovingImage | ( | MovingImageType * | R | ) |
One can set the images directly to input images in an application Define the reference (moving) image.
Definition at line 182 of file itkFEMRegistrationFilter.txx.
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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::LineSpatialObjectListToPointSetFilter< TLinesList, TPointSet >::SetInput(), itk::ImageToPathFilter< TInputImage, TOutputPath >::SetInput(), otb::AtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms::SetInput(), otb::ImageListToRCC8GraphFilter< TInputImage, TOutputGraph >::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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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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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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This determines the number of integration points to use at each resolution. These integration points are used to generate the force. The actual number used will be i^d, where d is the number of parameters in the elements local domain.
Definition at line 329 of file itkFEMRegistrationFilter.h.
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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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Definition at line 474 of file itkFEMRegistrationFilter.h.
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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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The warped reference image will be written to this file name with the extension "11.img" appended to it. One can also output the image after every iteration, yielding result11.img, result12.img, etc. by uncommenting the code at the end of IterativeSolve.
Definition at line 294 of file itkFEMRegistrationFilter.h.
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Definition at line 299 of file itkFEMRegistrationFilter.h.
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Mass matrix weight
Definition at line 390 of file itkFEMRegistrationFilter.h.
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Definition at line 477 of file itkFEMRegistrationFilter.h.
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Setting the time step - usually 1.0. We prefer to use rho to control step sizes.
Definition at line 359 of file itkFEMRegistrationFilter.h.
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The metric region allows one to compute the derivative (force) of the similarity metric using a region of size [i,i] in 2D [i,i,i] in 3D.
| i | number of elements |
| which | determines the region at a given resolution of the solution process. |
Definition at line 339 of file itkFEMRegistrationFilter.h.
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Sets the boolean for writing the displacement field to a file.
Definition at line 439 of file itkFEMRegistrationFilter.h.
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Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".
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If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).
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Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().
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Decrease the reference count (release by another object).
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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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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This determines if the landmark file will be read
Definition at line 275 of file itkFEMRegistrationFilter.h.
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::WarpImage | ( | const MovingImageType * | R | ) |
Applies the warp to the input image.
Definition at line 598 of file itkFEMRegistrationFilter.txx.
| int itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::WriteDisplacementField | ( | unsigned int | index | ) |
Writes the displacement field to a file.
Definition at line 568 of file itkFEMRegistrationFilter.txx.
| int itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::WriteDisplacementFieldMultiComponent | ( | ) |
Writes the displacement field to a file as a single volume with multiple components.
Definition at line 542 of file itkFEMRegistrationFilter.txx.
| void itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::WriteWarpedImage | ( | const char * | fn | ) |
Call this to write out images - a counter is attached to the file name so we can output a numbered sequence tracking the deformation.
Definition at line 1609 of file itkFEMRegistrationFilter.txx.
References otb::DefaultGeometriesToGeometriesFilter< TransformationFunctor, FieldTransformationPolicy >::New().
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Dimensionality of input and output data is assumed to be the same.
Definition at line 127 of file itkFEMRegistrationFilter.h.
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ImageDimension constants
Definition at line 90 of file itkImageToImageFilter.h.
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Definition at line 598 of file itkFEMRegistrationFilter.h.
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Definition at line 561 of file itkFEMRegistrationFilter.h.
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Definition at line 615 of file itkFEMRegistrationFilter.h.
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Definition at line 581 of file itkFEMRegistrationFilter.h.
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Definition at line 583 of file itkFEMRegistrationFilter.h.
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Definition at line 609 of file itkFEMRegistrationFilter.h.
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Definition at line 566 of file itkFEMRegistrationFilter.h.
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Definition at line 569 of file itkFEMRegistrationFilter.h.
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Definition at line 604 of file itkFEMRegistrationFilter.h.
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Definition at line 591 of file itkFEMRegistrationFilter.h.
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Definition at line 592 of file itkFEMRegistrationFilter.h.
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Definition at line 638 of file itkFEMRegistrationFilter.h.
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Definition at line 608 of file itkFEMRegistrationFilter.h.
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Definition at line 595 of file itkFEMRegistrationFilter.h.
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Factor we want to reduce the energy by - determines convergence.
Definition at line 600 of file itkFEMRegistrationFilter.h.
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Definition at line 618 of file itkFEMRegistrationFilter.h.
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Definition at line 616 of file itkFEMRegistrationFilter.h.
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Definition at line 617 of file itkFEMRegistrationFilter.h.
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Definition at line 580 of file itkFEMRegistrationFilter.h.
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Definition at line 564 of file itkFEMRegistrationFilter.h.
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Definition at line 635 of file itkFEMRegistrationFilter.h.
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Definition at line 628 of file itkFEMRegistrationFilter.h.
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Definition at line 611 of file itkFEMRegistrationFilter.h.
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Definition at line 594 of file itkFEMRegistrationFilter.h.
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Definition at line 612 of file itkFEMRegistrationFilter.h.
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Gives the ratio of original image size to current image size - for dealing with multi-res.
Definition at line 614 of file itkFEMRegistrationFilter.h.
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Definition at line 643 of file itkFEMRegistrationFilter.h.
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Definition at line 642 of file itkFEMRegistrationFilter.h.
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Definition at line 565 of file itkFEMRegistrationFilter.h.
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Definition at line 570 of file itkFEMRegistrationFilter.h.
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Definition at line 621 of file itkFEMRegistrationFilter.h.
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Definition at line 639 of file itkFEMRegistrationFilter.h.
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Definition at line 574 of file itkFEMRegistrationFilter.h.
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Definition at line 577 of file itkFEMRegistrationFilter.h.
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Definition at line 567 of file itkFEMRegistrationFilter.h.
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Definition at line 578 of file itkFEMRegistrationFilter.h.
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Stores the number of pixels per element of the mesh for each resolution of the multi-resolution pyramid
Definition at line 589 of file itkFEMRegistrationFilter.h.
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Definition at line 579 of file itkFEMRegistrationFilter.h.
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Definition at line 640 of file itkFEMRegistrationFilter.h.
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Definition at line 573 of file itkFEMRegistrationFilter.h.
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Definition at line 596 of file itkFEMRegistrationFilter.h.
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Definition at line 597 of file itkFEMRegistrationFilter.h.
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Definition at line 563 of file itkFEMRegistrationFilter.h.
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Definition at line 633 of file itkFEMRegistrationFilter.h.
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Definition at line 572 of file itkFEMRegistrationFilter.h.
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Definition at line 576 of file itkFEMRegistrationFilter.h.
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Definition at line 634 of file itkFEMRegistrationFilter.h.
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Time when GenerateOutputInformation was last called.
Definition at line 421 of file itkProcessObject.h.
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Definition at line 606 of file itkFEMRegistrationFilter.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 562 of file itkFEMRegistrationFilter.h.
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Definition at line 593 of file itkFEMRegistrationFilter.h.
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Definition at line 601 of file itkFEMRegistrationFilter.h.
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Definition at line 620 of file itkFEMRegistrationFilter.h.
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Definition at line 575 of file itkFEMRegistrationFilter.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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Definition at line 605 of file itkFEMRegistrationFilter.h.
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Definition at line 607 of file itkFEMRegistrationFilter.h.
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Definition at line 627 of file itkFEMRegistrationFilter.h.
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private |
Definition at line 624 of file itkFEMRegistrationFilter.h.
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private |
Definition at line 585 of file itkFEMRegistrationFilter.h.
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private |
Definition at line 630 of file itkFEMRegistrationFilter.h.
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Definition at line 629 of file itkFEMRegistrationFilter.h.
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Definition at line 603 of file itkFEMRegistrationFilter.h.
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staticinherited |
ImageDimension constant
Reimplemented from itk::ImageSource< TFixedImage >.
Definition at line 92 of file itkImageToImageFilter.h.