itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer > Class Template Reference
#include <itkMultilayerNeuralNetworkBase.h>
Detailed Description
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
class itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
Definition at line 29 of file itkMultilayerNeuralNetworkBase.h.
Member Typedef Documentation
| typedef SmartPointer<const Self> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::ConstPointer |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 37 of file itkMultilayerNeuralNetworkBase.h.
| typedef InputFunctionBase<ValueType*, ValueType> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::InputFunctionInterfaceType |
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 61 of file itkMultilayerNeuralNetworkBase.h.
typedef int itk::LightObject::InternalReferenceCountType [protected, inherited] |
Define the type of the reference count according to the target. This allows the use of atomic operations
Definition at line 139 of file itkLightObject.h.
| typedef Superclass::LayerInterfaceType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LayerInterfaceType |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 49 of file itkMultilayerNeuralNetworkBase.h.
| typedef std::vector<typename LayerInterfaceType::Pointer> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LayerVectorType |
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 58 of file itkMultilayerNeuralNetworkBase.h.
| typedef LearningFunctionBase<typename TLearningLayer::LayerInterfaceType, TTargetVector> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LearningFunctionInterfaceType |
Definition at line 53 of file itkMultilayerNeuralNetworkBase.h.
| typedef TLearningLayer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LearningLayerType |
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 51 of file itkMultilayerNeuralNetworkBase.h.
| typedef Superclass::MeasurementVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::MeasurementVectorType |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 45 of file itkMultilayerNeuralNetworkBase.h.
| typedef Superclass::NetworkOutputType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::NetworkOutputType |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 47 of file itkMultilayerNeuralNetworkBase.h.
| typedef SmartPointer<Self> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Pointer |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 36 of file itkMultilayerNeuralNetworkBase.h.
| typedef MultilayerNeuralNetworkBase itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Self |
Standard class typedefs.
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 33 of file itkMultilayerNeuralNetworkBase.h.
| typedef NeuralNetworkObject<TMeasurementVector, TTargetVector> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Superclass |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 35 of file itkMultilayerNeuralNetworkBase.h.
| typedef Superclass::TargetVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::TargetVectorType |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 46 of file itkMultilayerNeuralNetworkBase.h.
| typedef TransferFunctionBase<ValueType> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::TransferFunctionInterfaceType |
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 60 of file itkMultilayerNeuralNetworkBase.h.
| typedef Superclass::ValueType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::ValueType |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 42 of file itkMultilayerNeuralNetworkBase.h.
| typedef std::vector<typename LayerInterfaceType::WeightSetInterfaceType::Pointer> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::WeightVectorType |
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 56 of file itkMultilayerNeuralNetworkBase.h.
Constructor & Destructor Documentation
| itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::MultilayerNeuralNetworkBase | ( | ) | [protected] |
| itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::~MultilayerNeuralNetworkBase | ( | ) | [protected] |
Member Function Documentation
| void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::AddLayer | ( | LayerInterfaceType * | ) |
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | const [inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::AddWeightSet | ( | typename LayerInterfaceType::WeightSetInterfaceType * | ) |
| virtual void itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::BackwardPropagate | ( | NetworkOutputType | errors | ) | [pure virtual, inherited] |
| virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::BackwardPropagate | ( | NetworkOutputType | errors | ) | [virtual] |
| static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
| virtual void itk::DataObject::CopyInformation | ( | const DataObject * | ) | [inline, virtual, inherited] |
Copy information from the specified data set. This method is part of the pipeline execution model. By default, a ProcessObject will copy meta-data from the first input to all of its outputs. See ProcessObject::GenerateOutputInformation(). Each subclass of DataObject is responsible for being able to copy whatever meta-data it needs from from another DataObject. The default implementation of this method is empty. If a subclass overrides this method, it should always call its superclass' version.
Definition at line 439 of file itkDataObject.h.
| virtual LightObject::Pointer itk::Object::CreateAnother | ( | ) | const [virtual, inherited] |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::LightObject.
Reimplemented in itk::BSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder >, itk::CreateObjectFunction< T >, itk::TransformFactoryBase, itk::AnalyzeImageIOFactory, itk::BioRadImageIOFactory, itk::BMPImageIOFactory, itk::Brains2MaskImageIOFactory, itk::DICOMImageIO2Factory, itk::DicomImageIOFactory, itk::GDCMImageIOFactory, itk::GE4ImageIOFactory, itk::GE5ImageIOFactory, itk::GEAdwImageIOFactory, itk::GiplImageIOFactory, itk::JPEGImageIOFactory, itk::LSMImageIOFactory, itk::MetaImageIOFactory, itk::NiftiImageIOFactory, itk::NrrdImageIOFactory, itk::PNGImageIOFactory, itk::RawImageIOFactory< TPixel, VImageDimension >, itk::SiemensVisionImageIOFactory, itk::StimulateImageIOFactory, itk::TIFFImageIOFactory, itk::VTKImageIOFactory, itk::Bruker2DSEQImageIOFactory, itk::MatlabTransformIOFactory, itk::MINC2ImageIOFactory, itk::PhilipsRECImageIOFactory, itk::TxtTransformIOFactory, itk::VoxBoCUBImageIOFactory, and itk::SpatialObjectFactoryBase.
| void itk::DataObject::DataHasBeenGenerated | ( | ) | [inherited] |
Inform the pipeline mechanism that data has been generated. This method is called by ProcessObject::UpdateOutputData() once the process object has finished generating its data. This essentially marks the DataObject as being updated and ready for use.
| virtual void itk::Object::DebugOff | ( | ) | const [virtual, inherited] |
Turn debugging output off.
| virtual void itk::Object::DebugOn | ( | ) | const [virtual, inherited] |
Turn debugging output on.
| virtual void itk::LightObject::Delete | ( | ) | [virtual, inherited] |
Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.
| void itk::DataObject::DisconnectPipeline | ( | ) | [inherited] |
Separate this data object from the pipeline. This routine disconnects a data object from the upstream pipeline. Hence an Update() from downstream will not propagate back past this data object. To completely isolate this data object from the pipeline, the application must remove this data object from any filters which it is connected as the input.
| virtual NetworkOutputType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GenerateOutput | ( | TMeasurementVector | samplevector | ) | [virtual] |
Implements itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
| Command* itk::Object::GetCommand | ( | unsigned long | tag | ) | [inherited] |
Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.
| bool itk::DataObject::GetDataReleased | ( | ) | const [inline, inherited] |
Get the flag indicating the data has been released.
Definition at line 334 of file itkDataObject.h.
| bool itk::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
| static bool itk::DataObject::GetGlobalReleaseDataFlag | ( | ) | [static, inherited] |
Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.
| static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
| const LayerInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetLayer | ( | int | layer_id | ) | const |
| LayerInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetLayer | ( | int | layer_id | ) |
| const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
- Returns:
- A constant reference to this objects MetaDataDictionary.
| MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
- Returns:
- A reference to this objects MetaDataDictionary.
- Warning:
- This reference may be changed.
| virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().
| virtual const char* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
| int itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNumOfLayers | ( | void | ) | const [inline] |
Definition at line 71 of file itkMultilayerNeuralNetworkBase.h.
| int itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNumOfWeightSets | ( | void | ) | const [inline] |
Definition at line 75 of file itkMultilayerNeuralNetworkBase.h.
| virtual const unsigned long& itk::DataObject::GetPipelineMTime | ( | ) | [virtual, inherited] |
Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.
| virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 106 of file itkLightObject.h.
| virtual const bool& itk::DataObject::GetReleaseDataFlag | ( | ) | [virtual, inherited] |
Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.
| SmartPointerForwardReference<ProcessObject> itk::DataObject::GetSource | ( | ) | const [inherited] |
Get the process object that generated this data object. If there is no process object, then the data object has been disconnected from the pipeline, or the data object was created manually. (Note: we cannot use the GetObjectMacro() defined in itkMacro because the mutual dependency of DataObject and ProcessObject causes compile problems. Also, a forward reference smart pointer is returned, not a smart pointer, because of the circular dependency between the process and data object.)
GetSource() returns a SmartPointerForwardReference and not a WeakPointer because it is assumed the code calling GetSource() wants to hold a long term reference to the source.
| unsigned int itk::DataObject::GetSourceOutputIndex | ( | ) | const [inherited] |
Which of the source's outputs corresponds to this data object?
| virtual unsigned long itk::DataObject::GetUpdateMTime | ( | ) | const [virtual, inherited] |
MTime for the last time this DataObject was generated.
| LayerInterfaceType::WeightSetInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetWeightSet | ( | unsigned int | id | ) | [inline] |
Definition at line 87 of file itkMultilayerNeuralNetworkBase.h.
| static void itk::DataObject::GlobalReleaseDataFlagOff | ( | ) | [inline, static, inherited] |
Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.
Definition at line 319 of file itkDataObject.h.
| static void itk::DataObject::GlobalReleaseDataFlagOn | ( | ) | [inline, static, inherited] |
Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.
Definition at line 317 of file itkDataObject.h.
| static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 100 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
| static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 98 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
| virtual void itk::DataObject::Graft | ( | const DataObject * | ) | [inline, virtual, inherited] |
Method for grafting the content of one data object into another one. This method is intended to be overloaded by derived classes. Each one of them should use dynamic_casting in order to verify that the grafted object is actually of the same type as the class on which the Graft() method was invoked.
Definition at line 453 of file itkDataObject.h.
| bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
| virtual void itk::DataObject::Initialize | ( | ) | [virtual, inherited] |
Restore the data object to its initial state. This means releasing memory.
Reimplemented in itk::watershed::SegmentTree< TScalarType >, itk::ChainCodePath< VDimension >, itk::FourierSeriesPath< VDimension >, itk::Image< TPixel, VImageDimension >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageBase< VImageDimension >, itk::Mesh< TPixelType, VDimension, TMeshTraits >, itk::OrthogonallyCorrected2DParametricPath, itk::PointSet< TPixelType, VDimension, TMeshTraits >, itk::PolyLineParametricPath< VDimension >, itk::SparseImage< TNode, VImageDimension >, itk::SpecialCoordinatesImage< TPixel, VImageDimension >, itk::VectorImage< TPixel, VImageDimension >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::LabelMap< TLabelObject >, itk::QuadEdgeMesh< TPixel, VDimension, TTraits >, itk::ChainCodePath< 2 >, itk::Image< BloxCoreAtomPixel< NDimension >, TImageDimension >, itk::Image< TNode *, VImageDimension >, itk::Image< BloxBoundaryProfilePixel< TImageDimension >, TImageDimension >, itk::Image< TBloxPixelType, TImageDimension >, itk::Image< BloxBoundaryPointPixel< TImageDimension >, TImageDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >, itk::Mesh< TCoordType, 2, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::Mesh< TPixel, VDimension, TTraits >, itk::PointSet< TPixel, VDimension, TTraits >, itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::SpecialCoordinatesImage< TPixel, 3 >, and itk::VectorImage< TPixelType, Dimension >.
| void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::InitializeWeights | ( | ) |
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | const [inherited] |
Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | [inherited] |
Call Execute on all the Commands observing this event id.
| virtual void itk::Object::Modified | ( | ) | const [virtual, inherited] |
Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), 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(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
| static Pointer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::New | ( | ) | [static] |
New macro for creation of through a Smart Pointer.
Reimplemented from itk::Object.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
| virtual void itk::DataObject::PrepareForNewData | ( | ) | [inline, virtual, inherited] |
Setup a DataObject to receive new data. This method is called by the pipeline mechanism on each output of filter that needs to execute. The default implementation is to return a DataObject to its initial state. This may involve releasing previously allocated bulk data. Subclasses of DataObject may want to override this method and/or the Initialize() method if they want a different default behavior (for instance a DataObject might want finer control over its bulk data memory management).
Definition at line 389 of file itkDataObject.h.
| void itk::LightObject::Print | ( | std::ostream & | os, | |
| Indent | indent = 0 | |||
| ) | const [inherited] |
Cause the object to print itself out.
Referenced by itk::WeakPointer< ProcessObject >::Print().
| virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
Define the type of the reference count according to the target. This allows the use of atomic operations
| bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, inherited] |
| virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::PrintSelf | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual] |
Method to print the object.
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
| virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
Define the type of the reference count according to the target. This allows the use of atomic operations
| virtual void itk::DataObject::PropagateRequestedRegion | ( | ) | throw (InvalidRequestedRegionError) [virtual, inherited] |
Methods to update the pipeline. Called internally by the pipeline mechanism.
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, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >.
| virtual void itk::DataObject::PropagateResetPipeline | ( | ) | [protected, virtual, inherited] |
Propagate a call to ResetPipeline(). Called only from ProcessObject.
| virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
| void itk::DataObject::ReleaseData | ( | ) | [inherited] |
Release data back to system to conserve memory resource. Used during pipeline execution. Releasing this data does not make down-stream data invalid, so it does not modify the MTime of this data object.
| virtual void itk::DataObject::ReleaseDataFlagOff | ( | ) | [virtual, inherited] |
Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.
| virtual void itk::DataObject::ReleaseDataFlagOn | ( | ) | [virtual, inherited] |
Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.
| void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
| void itk::Object::RemoveObserver | ( | unsigned long | tag | ) | [inherited] |
Remove the observer with this tag value.
| virtual bool itk::DataObject::RequestedRegionIsOutsideOfTheBufferedRegion | ( | ) | [inline, virtual, inherited] |
Determine whether the RequestedRegion is outside of the BufferedRegion. This method returns true if the RequestedRegion is outside the BufferedRegion (true if at least one pixel is outside). This is used by the pipeline mechanism to determine whether a filter needs to re-execute in order to satisfy the current request. If the current RequestedRegion is already inside the BufferedRegion from the previous execution (and the current filter is up to date), then a given filter does not need to re-execute
Reimplemented in itk::ImageBase< VImageDimension >, itk::PointSet< TPixelType, VDimension, TMeshTraits >, itk::QuadEdgeMesh< TPixel, VDimension, TTraits >, itk::SpatialObject< TDimension >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >, itk::PointSet< TPixel, VDimension, TTraits >, itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Definition at line 413 of file itkDataObject.h.
| virtual void itk::DataObject::ResetPipeline | ( | ) | [virtual, inherited] |
| void itk::Object::SetDebug | ( | bool | debugFlag | ) | const [inherited] |
Set the value of the debug flag. A non-zero value turns debugging on.
| static void itk::DataObject::SetGlobalReleaseDataFlag | ( | bool | val | ) | [static, inherited] |
Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.
| static void itk::Object::SetGlobalWarningDisplay | ( | bool | flag | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().
| void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningFunction | ( | LearningFunctionInterfaceType * | f | ) |
| void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningRate | ( | ValueType | learningrate | ) |
| void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningRule | ( | LearningFunctionInterfaceType * | ) |
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
- Returns:
- Set the MetaDataDictionary
| void itk::DataObject::SetPipelineMTime | ( | unsigned long | time | ) | [inline, inherited] |
The maximum MTime of all upstream filters and data objects. This does not include the MTime of this data object.
Definition at line 373 of file itkDataObject.h.
| virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
| void itk::DataObject::SetReleaseDataFlag | ( | bool | flag | ) | [inline, inherited] |
Turn on/off a flag to control whether this object's data is released after being used by a filter.
Definition at line 304 of file itkDataObject.h.
| virtual void itk::DataObject::SetRequestedRegion | ( | DataObject * | ) | [inline, virtual, inherited] |
Set the requested region from this data object to match the requested region of the data object passed in as a parameter. For DataObject's that do not support Regions, this method does nothing. Subclasses of DataObject that do support Regions, provide an alternative implementation.
Definition at line 446 of file itkDataObject.h.
| virtual void itk::DataObject::SetRequestedRegionToLargestPossibleRegion | ( | ) | [inline, virtual, inherited] |
Set the RequestedRegion to the LargestPossibleRegion. This forces a filter to produce all of the output in one execution (i.e. not streaming) on the next call to Update().
Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageBase< VImageDimension >, itk::PointSet< TPixelType, VDimension, TMeshTraits >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >, itk::PointSet< TPixel, VDimension, TTraits >, itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Definition at line 402 of file itkDataObject.h.
| bool itk::DataObject::ShouldIReleaseData | ( | ) | const [inherited] |
Return flag indicating whether data should be released after use by a filter.
| virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
| virtual void itk::DataObject::Update | ( | ) | [virtual, inherited] |
Provides opportunity for the data object to insure internal consistency before access. Also causes owning source/filter (if any) to update itself. The Update() method is composed of UpdateOutputInformation(), PropagateRequestedRegion(), and UpdateOutputData(). This method may call methods that throw an InvalidRequestedRegionError exception. This exception will leave the pipeline in an inconsistent state. You will need to call ResetPipeline() on the last ProcessObject in your pipeline in order to restore the pipeline to a state where you can call Update() again.
Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
| virtual void itk::DataObject::UpdateOutputData | ( | ) | [virtual, inherited] |
Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.
Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageBase< VImageDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, and itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >.
| virtual void itk::DataObject::UpdateOutputInformation | ( | ) | [virtual, inherited] |
Update the information for this DataObject so that it can be used as an output of a ProcessObject. This method is used in the pipeline mechanism to propagate information and initialize the meta data associated with a DataObject. Any implementation of this method in a derived class is assumed to call its source's ProcessObject::UpdateOutputInformation() which determines modified times, LargestPossibleRegions, and any extra meta data like spacing, origin, etc. Default implementation simply call's it's source's UpdateOutputInformation().
Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageBase< VImageDimension >, itk::PointSet< TPixelType, VDimension, TMeshTraits >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >, itk::PointSet< TPixel, VDimension, TTraits >, itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
| virtual void itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::UpdateWeights | ( | ValueType | ) | [pure virtual, inherited] |
| virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::UpdateWeights | ( | ValueType | ) | [virtual] |
| virtual bool itk::DataObject::VerifyRequestedRegion | ( | ) | [inline, virtual, inherited] |
Verify that the RequestedRegion is within the LargestPossibleRegion.
If the RequestedRegion is not within the LargestPossibleRegion, then the filter cannot possibly satisfy the request. This method returns true if the request can be satisfied (even if it will be necessary to process the entire LargestPossibleRegion) and returns false otherwise. This method is used by PropagateRequestedRegion(). PropagateRequestedRegion() throws a InvalidRequestedRegionError exception if the requested region is not within the LargestPossibleRegion. Default implementation simply returns true in order to support DataObjects that do not need regions (for instance itk::EquivalencyTable).
Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageBase< VImageDimension >, itk::PointSet< TPixelType, VDimension, TMeshTraits >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >, itk::PointSet< TPixel, VDimension, TTraits >, itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Definition at line 428 of file itkDataObject.h.
Member Data Documentation
LayerVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_Layers [protected] |
LearningFunctionInterfaceType::Pointer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_LearningFunction [protected] |
Definition at line 114 of file itkMultilayerNeuralNetworkBase.h.
ValueType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_LearningRate [protected] |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Definition at line 115 of file itkMultilayerNeuralNetworkBase.h.
InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 144 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 147 of file itkLightObject.h.
WeightVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_Weights [protected] |
Definition at line 113 of file itkMultilayerNeuralNetworkBase.h.
Referenced by itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >::GetNumOfWeightSets(), and itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >::GetWeightSet().
The documentation for this class was generated from the following file:
