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ITK
5.4.0
Insight Toolkit
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#include <itkWeightedCovarianceSampleFilter.h>
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static Pointer | New () |
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static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool val) |
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static void | BreakOnError () |
static Pointer | New () |
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using | DataObjectPointer = DataObject::Pointer |
using | DataObjectPointerArraySizeType = ProcessObject::DataObjectPointerArraySizeType |
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static constexpr float | progressFixedToFloat (uint32_t fixed) |
static uint32_t | progressFloatToFixed (float f) |
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TimeStamp | m_OutputInformationMTime {} |
bool | m_Updating {} |
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std::atomic< int > | m_ReferenceCount {} |
Calculates the covariance matrix of the target sample data. where each measurement vector has an associated weight value.
Weight values can be specified in two ways: using a weighting function or an array containing weight values. If none of these two is specified, the covariance matrix is generated with equal weights.
Definition at line 44 of file itkWeightedCovarianceSampleFilter.h.
using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ConstPointer = SmartPointer<const Self> |
Definition at line 53 of file itkWeightedCovarianceSampleFilter.h.
using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::InputWeightArrayObjectType = SimpleDataObjectDecorator<WeightArrayType> |
Type of DataObjects to use for the weight array type
Definition at line 79 of file itkWeightedCovarianceSampleFilter.h.
using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::InputWeightingFunctionObjectType = DataObjectDecorator<WeightingFunctionType> |
Type of DataObjects to use for Weight function
Definition at line 89 of file itkWeightedCovarianceSampleFilter.h.
using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Pointer = SmartPointer<Self> |
Definition at line 52 of file itkWeightedCovarianceSampleFilter.h.
using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Self = WeightedCovarianceSampleFilter |
Standard class type aliases.
Definition at line 50 of file itkWeightedCovarianceSampleFilter.h.
using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Superclass = CovarianceSampleFilter<TSample> |
Definition at line 51 of file itkWeightedCovarianceSampleFilter.h.
using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightArrayType = Array<WeightValueType> |
Array type for weights
Definition at line 76 of file itkWeightedCovarianceSampleFilter.h.
using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightingFunctionType = FunctionBase<MeasurementVectorType, WeightValueType> |
Weight calculation function type
Definition at line 86 of file itkWeightedCovarianceSampleFilter.h.
using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightValueType = double |
Type of weight values
Definition at line 72 of file itkWeightedCovarianceSampleFilter.h.
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Compute covariance matrix with weights computed from a function
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Compute covariance matrix with weights specified in an array
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This method causes the filter to generate its output.
Reimplemented from itk::Statistics::CovarianceSampleFilter< TSample >.
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Standard Macros
Reimplemented from itk::Statistics::CovarianceSampleFilter< TSample >.
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Standard Macros
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Method to set/get the weighting function
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Method to set the input value of the weight array