itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample > Class Template Reference
#include <itkGaussianGoodnessOfFitComponent.h>
Detailed Description
template<class TInputSample>
class itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >
is a GoodnessOfFitComponent for Gaussian distribution.
Among the GoodnessOfFitComponentBase's methods, this class provides implementations for the CalculateProjectionAxess, the GetCumulativeProbability (univariate CDF), and the GetProbabilityDensity (multivariate PDF)methods.
The CalculateProjectionAxes method creats an array of projection axes that are the eigen vectors generated from the weighted covariance matrix of the resampled sample using a spherical kernel.
Recent API changes: The static const macro to get the length of a measurement vector, MeasurementVectorSize has been removed to allow the length of a measurement vector to be specified at run time. This is now obtained from the input sample.
Definition at line 51 of file itkGaussianGoodnessOfFitComponent.h.
Member Typedef Documentation
| typedef Superclass::CenterType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CenterType |
Typedefs from Superclass
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 74 of file itkGaussianGoodnessOfFitComponent.h.
| typedef SmartPointer< const Self > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ConstPointer |
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 59 of file itkGaussianGoodnessOfFitComponent.h.
| typedef WeightedCovarianceCalculator< ResampledSampleType > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CovarianceCalculatorType |
Type of the covariance calculator. the output of this calculator is a covariance matrix that is used as the input of the Projection calculator
Definition at line 94 of file itkGaussianGoodnessOfFitComponent.h.
| typedef ProbabilityDensityFunctionType::CovarianceType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CovarianceType |
Definition at line 88 of file itkGaussianGoodnessOfFitComponent.h.
| typedef Array< double > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::EigenValuesArrayType |
Default projection axis calculator type.
Definition at line 97 of file itkGaussianGoodnessOfFitComponent.h.
typedef HistogramType::ConstPointer itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::HistogramConstPointer [inherited] |
Definition at line 117 of file itkGoodnessOfFitComponentBase.h.
typedef HistogramType::Pointer itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::HistogramPointer [inherited] |
Definition at line 116 of file itkGoodnessOfFitComponentBase.h.
typedef Histogram< float, 1 > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::HistogramType [inherited] |
Histogram type that will be used for observed and expected histogram
Definition at line 115 of file itkGoodnessOfFitComponentBase.h.
typedef TInputSample itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::InputSampleType [inherited] |
TInputSample type alias
Definition at line 100 of file itkGoodnessOfFitComponentBase.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::MeanType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeanType |
Type of the mean of the distribution
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 76 of file itkGaussianGoodnessOfFitComponent.h.
| typedef TInputSample::MeasurementType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeasurementType |
Typedefs from input sample
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 66 of file itkGaussianGoodnessOfFitComponent.h.
| typedef Superclass::MeasurementVectorSizeType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeasurementVectorSizeType |
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 80 of file itkGaussianGoodnessOfFitComponent.h.
| typedef TInputSample::MeasurementVectorType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeasurementVectorType |
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 71 of file itkGaussianGoodnessOfFitComponent.h.
| typedef Array< double > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ParametersType |
Type of the array of component parameters
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 81 of file itkGaussianGoodnessOfFitComponent.h.
| typedef SmartPointer< Self > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::Pointer |
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 58 of file itkGaussianGoodnessOfFitComponent.h.
| typedef GaussianDensityFunction< MeasurementVectorType > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ProbabilityDensityFunctionType |
Weight function type. The density values are used as weights of each instance (measurement vector) for the Covariance calulator
Definition at line 86 of file itkGaussianGoodnessOfFitComponent.h.
| typedef Superclass::ProjectionAxisArrayType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ProjectionAxisArrayType |
projection axis array type. The type of output from CalculateProjectionAxis(). The number of projection axis are fixed equal to the number of components of a measurement vector.
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 79 of file itkGaussianGoodnessOfFitComponent.h.
| typedef SymmetricEigenAnalysis< ProjectionAxisArrayType, EigenValuesArrayType > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ProjectionAxisCalculatorType |
Definition at line 99 of file itkGaussianGoodnessOfFitComponent.h.
typedef SampleToHistogramProjectionFilter< ResampledSampleType, float > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ProjectorType [protected, inherited] |
default projection filter type
Definition at line 262 of file itkGoodnessOfFitComponentBase.h.
| typedef Superclass::RadiusType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::RadiusType |
Type of the radius of the hyperspherical neighborhood sampling
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 75 of file itkGaussianGoodnessOfFitComponent.h.
| typedef Superclass::ResampledSampleType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ResampledSampleType |
Resample() output type
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 78 of file itkGaussianGoodnessOfFitComponent.h.
typedef NeighborhoodSampler< TInputSample > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ResamplerType [protected, inherited] |
default resampler type and realted types
Definition at line 258 of file itkGoodnessOfFitComponentBase.h.
| typedef GaussianGoodnessOfFitComponent itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::Self |
Standard class typedefs
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 56 of file itkGaussianGoodnessOfFitComponent.h.
| typedef Superclass::StandardDeviationType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::StandardDeviationType |
Type of standard deviation of the distribution
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 77 of file itkGaussianGoodnessOfFitComponent.h.
| typedef GoodnessOfFitComponentBase< TInputSample > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::Superclass |
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 57 of file itkGaussianGoodnessOfFitComponent.h.
Constructor & Destructor Documentation
| itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GaussianGoodnessOfFitComponent | ( | ) | [protected] |
| virtual itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::~GaussianGoodnessOfFitComponent | ( | ) | [protected, virtual] |
Member Function Documentation
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | const [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
| 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 void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CalculateProjectionAxes | ( | ) | [protected, virtual] |
Calculates the base axes for projection
Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| 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::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateEquiProbableBins | ( | ) | [protected, virtual, inherited] |
Creates an empty histogram with bins having same probability based on the distribution parameters
| virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateEquiRangeBins | ( | ) | [protected, virtual, inherited] |
Creates an empty histogram with bins having same interval
| virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateHistograms | ( | ) | [virtual, inherited] |
Generates the histogram (expected and observed)
| 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.
| CenterType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetCenter | ( | ) | [virtual] |
Gets the center point for the neighborhood sampling
Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| 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.
| double itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetCumulativeProbability | ( | double | x | ) | const [virtual] |
Univariate (standard) cumulative probability function
Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| bool itk::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
| HistogramType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetExpectedHistogram | ( | ) | [inherited] |
Gets the expected historm
| ParametersType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetFullParameters | ( | ) | const [virtual] |
Gets the full distribution parameters which consists of mean vector and covariance matrix in a single array
Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
| double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramBinOverlap | ( | ) | [inline, inherited] |
Set/Get the overlapping effects extent.
Definition at line 170 of file itkGoodnessOfFitComponentBase.h.
| double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramExtent | ( | ) | [inline, inherited] |
Set/Gets the extent of histogram from the mean in terms of standard deivation
Definition at line 177 of file itkGoodnessOfFitComponentBase.h.
| int itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramNumberOfBins | ( | ) | [inline, inherited] |
Set/Gets the nubmer of bins of histograms (expected and observed)
Definition at line 156 of file itkGoodnessOfFitComponentBase.h.
| bool itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramUseEquiProbableBins | ( | ) | [inline, inherited] |
Set/Gets the flag that indicates the probability of each bins in the histograms should be equal. This can be achieved by varying the interval of bins.
Definition at line 164 of file itkGoodnessOfFitComponentBase.h.
| const TInputSample* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetInputSample | ( | ) | const [inherited] |
Set/Gets the input sample
| MeanType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetMean | ( | ) | [virtual] |
Gets the mean of the distributon
Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| virtual MeasurementVectorSizeType itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetMeasurementVectorSize | ( | ) | const [virtual, inherited] |
Get Macro to get the length of a measurement vector. This is equal to the length of each measurement vector contained in the samples that are plugged in as input to this class. GetMeasurementVectorSize() will return zero until the SetInputSample() method has been called
Referenced by itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetNumberOfParameters().
| 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::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| unsigned int itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetNumberOfParameters | ( | void | ) | const [inline, virtual] |
Gets the size of parameters which consists of mean and standard deviation
Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
Definition at line 103 of file itkGaussianGoodnessOfFitComponent.h.
References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetMeasurementVectorSize().
| HistogramType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetObservedHistogram | ( | ) | [inherited] |
Gets the observed historm
| ParametersType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetParameters | ( | void | ) | [inline, inherited] |
Set/Gets the component parameters
Definition at line 146 of file itkGoodnessOfFitComponentBase.h.
| double itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetProbabilityDensity | ( | MeasurementVectorType & | measurements | ) | const [virtual] |
Multivariate probability density function
Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| ProjectionAxisArrayType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetProjectionAxes | ( | ) | [inline, protected, inherited] |
Definition at line 271 of file itkGoodnessOfFitComponentBase.h.
| virtual double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetProportion | ( | ) | const [inline, virtual, inherited] |
Gets the proportion of this component among multiple components.
Definition at line 231 of file itkGoodnessOfFitComponentBase.h.
| RadiusType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetRadius | ( | ) | [virtual] |
Gets the radius for the neighborhood sampling
Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 106 of file itkLightObject.h.
| ResampledSampleType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetResampledSample | ( | ) | [inline, inherited] |
Gets the sampled data set
Definition at line 200 of file itkGoodnessOfFitComponentBase.h.
| virtual unsigned int itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetResampledSampleSize | ( | ) | [virtual, inherited] |
Gest the size of the sampled data set
| StandardDeviationType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetStandardDeviation | ( | ) | [virtual] |
Gets the standard deviation of the distribution
Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| double* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetTotalObservedScale | ( | ) | [inline, inherited] |
Gets the total scale of the observed histogram
Definition at line 218 of file itkGoodnessOfFitComponentBase.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().
| 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::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), 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::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
| static Pointer itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::Object.
| 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] |
| void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::PrintParameters | ( | std::ostream & | os | ) | const [virtual] |
Prints all the parameters. Usually for debugging.
Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| virtual void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::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::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::Project | ( | int | projectionAxisIndex | ) | [virtual, inherited] |
Projects measurement vectors onto the projection axis calculated by the CalculateProjectionAxes method.
| 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::Statistics::GoodnessOfFitComponentBase< TInputSample >::Resample | ( | ) | [virtual, inherited] |
Samples measurement vectors using the center and radius
| 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().
| void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramBinOverlap | ( | double | overlap | ) | [inherited] |
Set/Get the overlapping effects extent.
| void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramExtent | ( | double | extent | ) | [inherited] |
Set/Gets the extent of histogram from the mean in terms of standard deivation
| void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramNumberOfBins | ( | int | numberOfBins | ) | [inherited] |
Set/Gets the nubmer of bins of histograms (expected and observed)
| void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramUseEquiProbableBins | ( | bool | flag | ) | [inherited] |
Set/Gets the flag that indicates the probability of each bins in the histograms should be equal. This can be achieved by varying the interval of bins.
| virtual void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::SetInputSample | ( | const TInputSample * | sample | ) | [virtual] |
Set the input sample
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
- Returns:
- Set the MetaDataDictionary
| void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::SetParameters | ( | const ParametersType & | parameter | ) | [virtual] |
Sets the component distribution parameters
Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.
| virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
| void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetUseExpectedHistogram | ( | bool | flag | ) | [inherited] |
Sets the flag that indicates this component uses the histogram generated with expected distribution from the parameters.
| 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=().
| virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::UpdateExpectedHistogram | ( | ) | [virtual, inherited] |
Fills up the expected histogram based on the distribution parameters
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:
