itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage > Class Template Reference
[Pixel Classification Filters]
#include <itkImageGaussianModelEstimator.h>
Detailed Description
template<class TInputImage, class TMembershipFunction, class TTrainingImage>
class itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >
Base class for ImageGaussianModelEstimator object.
itkImageGaussianModelEstimator generated the gaussian model for given tissue types (or class types) in an input training set. training data set for segmentation. The training data set is typically provided as a set of labelled/classified data set by the user. A gaussian model is generated for each label present in the training data set. from the training data set.
The user should ensure that both the input and training images are of the same size. The input data consists of the raw data and the training data has class labels associated with each pixel. However, only a subset of the data need to be labelled. Unlabelled data could be represented by a non zero, non positive number. The training data are analysed for identifying the classes. Any non zero, non negative value is considered a valid label. It is important that the maximum value of the training label be equal to N, where N is the number of classes represented by the maximum label value in the training data set. The pixels corresponding to each training label is parsed and the mean and covariance is calculated for each class. The background is identified by the label zero and is not parsed for further computation to improve efficiency.
This object supports data handling of multiband images. The object accepts the input image in vector format only, where each pixel is a vector and each element of the vector corresponds to an entry from 1 particular band of a multiband dataset. A single band image is treated as a vector image with a single element for every vector. The classified image is treated as a single band scalar image.
This function is templated over the type of input and output images. In addition, a third parameter for the MembershipFunction needs to be specified. In this case a Membership function that store Gaussian models needs to be specified.
The function EstimateModels() calculated the various models, creates the membership function objects and populates them.
Definition at line 81 of file itkImageGaussianModelEstimator.h.
Public Types | |
| typedef SmartPointer< const Self > | ConstPointer |
| typedef ImageRegionIterator < TInputImage > | InputImageIterator |
| typedef TInputImage::PixelType | InputImagePixelType |
| typedef TInputImage::Pointer | InputImagePointer |
| typedef TInputImage | InputImageType |
| typedef TMembershipFunction::Pointer | MembershipFunctionPointer |
| typedef std::vector < MembershipFunctionPointer > | MembershipFunctionPointerVector |
| typedef SmartPointer< Self > | Pointer |
| typedef ImageGaussianModelEstimator | Self |
| typedef ImageModelEstimatorBase < TInputImage, TMembershipFunction > | Superclass |
| typedef ImageRegionIterator < TTrainingImage > | TrainingImageIterator |
| typedef TTrainingImage::PixelType | TrainingImagePixelType |
| typedef TTrainingImage::Pointer | TrainingImagePointer |
Public Member Functions | |
| virtual void | AbortGenerateDataOff () |
| virtual void | AbortGenerateDataOn () |
| unsigned int | AddMembershipFunction (MembershipFunctionPointer function) |
| virtual LightObject::Pointer | CreateAnother () const |
| virtual void | DebugOff () const |
| virtual void | DebugOn () const |
| virtual void | Delete () |
| void | DeleteAllMembershipFunctions () |
| virtual const bool & | GetAbortGenerateData () |
| Command * | GetCommand (unsigned long tag) |
| bool | GetDebug () const |
| virtual InputImageType * | GetInputImage () |
| const MembershipFunctionPointerVector | GetMembershipFunctions () const |
| const MetaDataDictionary & | GetMetaDataDictionary (void) const |
| MetaDataDictionary & | GetMetaDataDictionary (void) |
| virtual unsigned long | GetMTime () const |
| virtual const char * | GetNameOfClass () const |
| unsigned int | GetNumberOfMembershipFunctions () |
| virtual const unsigned int & | GetNumberOfModels () |
| virtual int | GetReferenceCount () const |
| virtual TrainingImagePointer | GetTrainingImage () const |
| bool | HasObserver (const EventObject &event) const |
| void | InvokeEvent (const EventObject &) const |
| void | InvokeEvent (const EventObject &) |
| virtual void | Modified () const |
| void | Print (std::ostream &os, Indent indent=0) const |
| virtual void | Register () const |
| void | RemoveAllObservers () |
| void | RemoveObserver (unsigned long tag) |
| virtual void | SetAbortGenerateData (bool _arg) |
| void | SetDebug (bool debugFlag) const |
| virtual void | SetInputImage (InputImageType *_arg) |
| void | SetMembershipFunctions (MembershipFunctionPointerVector membershipFunctions) |
| void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
| virtual void | SetNumberOfModels (unsigned int _arg) |
| virtual void | SetReferenceCount (int) |
| virtual void | SetTrainingImage (TrainingImagePointer _arg) |
| virtual void | UnRegister () const |
| void | Update () |
| virtual void | UpdateOutputData () |
| void | UpdateProgress (float amount) |
| unsigned long | AddObserver (const EventObject &event, Command *) const |
| unsigned long | AddObserver (const EventObject &event, Command *) |
| virtual const float & | GetProgress () |
| virtual void | SetProgress (float _arg) |
Static Public Member Functions | |
| static void | BreakOnError () |
| static Pointer | New () |
| static bool | GetGlobalWarningDisplay () |
| static void | GlobalWarningDisplayOff () |
| static void | GlobalWarningDisplayOn () |
| static void | SetGlobalWarningDisplay (bool flag) |
Protected Types | |
| typedef int | InternalReferenceCountType |
Protected Member Functions | |
| void | GenerateData () |
| ImageGaussianModelEstimator () | |
| bool | PrintObservers (std::ostream &os, Indent indent) const |
| virtual void | PrintSelf (std::ostream &os, Indent indent) const |
| ~ImageGaussianModelEstimator () | |
| virtual void | PrintHeader (std::ostream &os, Indent indent) const |
| virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
Protected Attributes | |
| InternalReferenceCountType | m_ReferenceCount |
| SimpleFastMutexLock | m_ReferenceCountLock |
Member Typedef Documentation
| typedef SmartPointer<const Self> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::ConstPointer |
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 89 of file itkImageGaussianModelEstimator.h.
| typedef ImageRegionIterator< TInputImage > itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::InputImageIterator |
Type definitions for the iterators for the input and training images.
Definition at line 112 of file itkImageGaussianModelEstimator.h.
| typedef TInputImage::PixelType itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::InputImagePixelType |
Type definition for the vector associated with input image pixel type.
Definition at line 105 of file itkImageGaussianModelEstimator.h.
| typedef TInputImage::Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::InputImagePointer |
Type definition for the input image.
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 95 of file itkImageGaussianModelEstimator.h.
typedef TInputImage itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::InputImageType [inherited] |
Type definitions for the training image.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >.
Definition at line 90 of file itkImageModelEstimatorBase.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 TMembershipFunction::Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::MembershipFunctionPointer |
Type definitions for the membership function .
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 116 of file itkImageGaussianModelEstimator.h.
typedef std::vector< MembershipFunctionPointer > itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::MembershipFunctionPointerVector [inherited] |
Definition at line 87 of file itkImageModelEstimatorBase.h.
| typedef SmartPointer<Self> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::Pointer |
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 88 of file itkImageGaussianModelEstimator.h.
| typedef ImageGaussianModelEstimator itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::Self |
Standard class typedefs.
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 86 of file itkImageGaussianModelEstimator.h.
| typedef ImageModelEstimatorBase<TInputImage,TMembershipFunction> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::Superclass |
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 87 of file itkImageGaussianModelEstimator.h.
| typedef ImageRegionIterator< TTrainingImage > itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::TrainingImageIterator |
Definition at line 113 of file itkImageGaussianModelEstimator.h.
| typedef TTrainingImage::PixelType itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::TrainingImagePixelType |
Type definitions for the vector holding training image pixel type.
Definition at line 109 of file itkImageGaussianModelEstimator.h.
| typedef TTrainingImage::Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::TrainingImagePointer |
Type definitions for the training image.
Definition at line 101 of file itkImageGaussianModelEstimator.h.
Constructor & Destructor Documentation
| itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::ImageGaussianModelEstimator | ( | ) | [protected] |
| itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::~ImageGaussianModelEstimator | ( | ) | [protected] |
Member Function Documentation
| virtual void itk::LightProcessObject::AbortGenerateDataOff | ( | ) | [virtual, inherited] |
| virtual void itk::LightProcessObject::AbortGenerateDataOn | ( | ) | [virtual, inherited] |
Turn on and off the AbortGenerateData flag.
| unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::AddMembershipFunction | ( | MembershipFunctionPointer | function | ) | [inherited] |
Stores a MembershipCalculator of a class in its internal vector
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | const [inherited] |
| 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
| static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
| 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.
| 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::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::DeleteAllMembershipFunctions | ( | ) | [inline, inherited] |
Method to reset the membership fucntion mean
Definition at line 122 of file itkImageModelEstimatorBase.h.
| void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::GenerateData | ( | ) | [protected, virtual] |
Starts the image modelling process
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
| virtual const bool& itk::LightProcessObject::GetAbortGenerateData | ( | ) | [virtual, inherited] |
Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| 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::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
| static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
| virtual InputImageType* itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetInputImage | ( | ) | [virtual, inherited] |
Get the input image.
| const MembershipFunctionPointerVector itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetMembershipFunctions | ( | ) | const [inline, inherited] |
Method to get mean
Definition at line 110 of file itkImageModelEstimatorBase.h.
| const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
- Returns:
- A constant reference to this objects MetaDataDictionary.
| MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
| 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, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
| unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNumberOfMembershipFunctions | ( | ) | [inline, inherited] |
Method to number of membership functions
Definition at line 116 of file itkImageModelEstimatorBase.h.
| virtual const unsigned int& itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNumberOfModels | ( | ) | [virtual, inherited] |
Get the number of classes.
| virtual const float& itk::LightProcessObject::GetProgress | ( | ) | [virtual, inherited] |
Get the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.
| 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 TrainingImagePointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::GetTrainingImage | ( | ) | const [virtual] |
Get the training image.
| static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
| static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
| bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
| 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, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, itk::RankImageFilter< TInputImage, TInputImage, itk::FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
| static Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::LightProcessObject.
| void itk::LightObject::Print | ( | std::ostream & | os, | |
| Indent | indent = 0 | |||
| ) | const [inherited] |
Cause the object to print itself out.
Referenced by itk::WeakPointer< itk::ProcessObject >::Print(), and itk::SmartPointer< itk::MutualInformationImageToImageMetric >::Print().
| virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, inherited] |
| virtual void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::PrintSelf | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual] |
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
| virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
| void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
| void itk::Object::RemoveObserver | ( | unsigned long | tag | ) | [inherited] |
Remove the observer with this tag value.
| virtual void itk::LightProcessObject::SetAbortGenerateData | ( | bool | _arg | ) | [virtual, inherited] |
Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| 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::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().
| virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetInputImage | ( | InputImageType * | _arg | ) | [virtual, inherited] |
Type definitions for the training image. Set the input image.
| void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetMembershipFunctions | ( | MembershipFunctionPointerVector | membershipFunctions | ) | [inline, inherited] |
Set the classified image.
Definition at line 103 of file itkImageModelEstimatorBase.h.
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
- Returns:
- Set the MetaDataDictionary
| virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetNumberOfModels | ( | unsigned int | _arg | ) | [virtual, inherited] |
Set the number of classes.
| virtual void itk::LightProcessObject::SetProgress | ( | float | _arg | ) | [virtual, inherited] |
Set the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.
| virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
| virtual void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::SetTrainingImage | ( | TrainingImagePointer | _arg | ) | [virtual] |
Set the training image.
| virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
Referenced by itk::SmartPointer< itk::MutualInformationImageToImageMetric >::operator=().
| void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Update | ( | ) | [inherited] |
Define a virtual function to perform model generation from the input data
| virtual void itk::LightProcessObject::UpdateOutputData | ( | ) | [virtual, inherited] |
Actually generate new output.
| void itk::LightProcessObject::UpdateProgress | ( | float | amount | ) | [inherited] |
Update the progress of the process object. If a ProgressMethod exists, executes it. Then set the Progress ivar to amount. The parameter amount should range between (0,1).
Member Data Documentation
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.
The documentation for this class was generated from the following file:
