ITK
4.6.0
Insight Segmentation and Registration Toolkit
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#include <itkCovarianceSampleFilter.h>
Calculates the covariance matrix of the target sample data.
The filter calculates first the sample mean and use it in the covariance calculation. The covariance is computed as follows Let denotes covariance matrix for the sample, then: When is th component of a measurement vector , is the th component of the , and the is the th component ,
This estimator is an unbiased one, because it divisor in the covariance computation takes into account that one degree of freedom has been taken for computing the mean.
Without the plugged in mean vector, this calculator will perform the single pass mean and covariance calculation algorithm.
Definition at line 52 of file itkCovarianceSampleFilter.h.
Protected Types | |
typedef DataObject::Pointer | DataObjectPointer |
typedef ProcessObject::DataObjectPointerArraySizeType | DataObjectPointerArraySizeType |
Protected Types inherited from itk::LightObject | |
typedef int | InternalReferenceCountType |
Private Member Functions | |
CovarianceSampleFilter (const Self &) | |
void | operator= (const Self &) |
virtual const char * | GetNameOfClass () const |
virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
static Pointer | New () |
Additional Inherited Members | |
Static Public Member Functions inherited from itk::Object | |
static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool flag) |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
static Pointer | New () |
Protected Attributes inherited from itk::ProcessObject | |
TimeStamp | m_OutputInformationMTime |
bool | m_Updating |
Protected Attributes inherited from itk::LightObject | |
InternalReferenceCountType | m_ReferenceCount |
SimpleFastMutexLock | m_ReferenceCountLock |
typedef SmartPointer< const Self > itk::Statistics::CovarianceSampleFilter< TSample >::ConstPointer |
Definition at line 60 of file itkCovarianceSampleFilter.h.
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DataObject pointer
Definition at line 122 of file itkCovarianceSampleFilter.h.
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Definition at line 124 of file itkCovarianceSampleFilter.h.
typedef SimpleDataObjectDecorator< MatrixType > itk::Statistics::CovarianceSampleFilter< TSample >::MatrixDecoratedType |
VariableSizeMatrix is not a DataObject, we need to decorate it to push it down a ProcessObject's pipeline
Definition at line 100 of file itkCovarianceSampleFilter.h.
typedef VariableSizeMatrix< MeasurementRealType > itk::Statistics::CovarianceSampleFilter< TSample >::MatrixType |
Type of covariance matrix output
Definition at line 93 of file itkCovarianceSampleFilter.h.
typedef NumericTraits< MeasurementType >::RealType itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementRealType |
Type of a floating point measurement component value
Definition at line 81 of file itkCovarianceSampleFilter.h.
typedef SampleType::MeasurementType itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementType |
Type of measurement vector component value
Definition at line 75 of file itkCovarianceSampleFilter.h.
typedef SimpleDataObjectDecorator< MeasurementVectorRealType > itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementVectorDecoratedType |
MeasurementVector is not a DataObject, we need to decorate it to push it down a ProcessObject's pipeline
Definition at line 109 of file itkCovarianceSampleFilter.h.
typedef NumericTraits< MeasurementVectorType >::RealType itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementVectorRealType |
Type of a measurement vector, holding floating point values
Definition at line 78 of file itkCovarianceSampleFilter.h.
typedef SampleType::MeasurementVectorSizeType itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementVectorSizeType |
Type of the length of each measurement vector
Definition at line 72 of file itkCovarianceSampleFilter.h.
typedef SampleType::MeasurementVectorType itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementVectorType |
Type of each measurement vector in sample
Definition at line 65 of file itkCovarianceSampleFilter.h.
typedef MeasurementVectorDecoratedType itk::Statistics::CovarianceSampleFilter< TSample >::OutputType |
Definition at line 111 of file itkCovarianceSampleFilter.h.
typedef SmartPointer< Self > itk::Statistics::CovarianceSampleFilter< TSample >::Pointer |
Definition at line 59 of file itkCovarianceSampleFilter.h.
typedef TSample itk::Statistics::CovarianceSampleFilter< TSample >::SampleType |
Definition at line 61 of file itkCovarianceSampleFilter.h.
typedef CovarianceSampleFilter itk::Statistics::CovarianceSampleFilter< TSample >::Self |
Standard class typedefs.
Definition at line 57 of file itkCovarianceSampleFilter.h.
typedef ProcessObject itk::Statistics::CovarianceSampleFilter< TSample >::Superclass |
Definition at line 58 of file itkCovarianceSampleFilter.h.
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protectedvirtual |
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Standard Macros
Reimplemented from itk::Object.
Reimplemented in itk::Statistics::WeightedCovarianceSampleFilter< TSample >.
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This method causes the filter to generate its output.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::Statistics::WeightedCovarianceSampleFilter< TSample >.
const MatrixType itk::Statistics::CovarianceSampleFilter< TSample >::GetCovarianceMatrix | ( | ) | const |
Return the covariance matrix
const MatrixDecoratedType* itk::Statistics::CovarianceSampleFilter< TSample >::GetCovarianceMatrixOutput | ( | ) | const |
const SampleType* itk::Statistics::CovarianceSampleFilter< TSample >::GetInput | ( | ) | const |
Method to get the sample
const MeasurementVectorRealType itk::Statistics::CovarianceSampleFilter< TSample >::GetMean | ( | ) | const |
Return the mean vector
const MeasurementVectorDecoratedType* itk::Statistics::CovarianceSampleFilter< TSample >::GetMeanOutput | ( | ) | const |
MeasurementVectorSizeType itk::Statistics::CovarianceSampleFilter< TSample >::GetMeasurementVectorSize | ( | ) | const |
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Standard Macros
Reimplemented from itk::ProcessObject.
Reimplemented in itk::Statistics::WeightedCovarianceSampleFilter< TSample >.
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protectedvirtual |
Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a itkSmartPointer to a DataObject. ImageSource and MeshSource override this method to create the correct type of image and mesh respectively. If a filter has multiple outputs of different types, then that filter must provide an implementation of MakeOutput().
Reimplemented from itk::ProcessObject.
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Standard Macros
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protectedvirtual |
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::ProcessObject.
Reimplemented in itk::Statistics::WeightedCovarianceSampleFilter< TSample >.
void itk::Statistics::CovarianceSampleFilter< TSample >::SetInput | ( | const SampleType * | sample | ) |