ITK
6.0.0
Insight Toolkit
|
#include <itkMeanSampleFilter.h>
Given a sample, this filter computes the sample mean.
The sample is plugged in using SetSample method. Then invoke update() method to compute the sample mean.
The sample mean is computed as follows \( = \frac{1}{n}\sum^{n}_{i=1}x_{i}\) where \(n\) is the number of measurement vectors in the target
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. It is now obtained from the input sample. Please use the function GetMeasurementVectorSize() to obtain the length.
Definition at line 49 of file itkMeanSampleFilter.h.
Protected Types | |
using | DataObjectPointer = DataObject::Pointer |
using | DataObjectPointerArraySizeType = ProcessObject::DataObjectPointerArraySizeType |
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 val) |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
static Pointer | New () |
Static Protected Member Functions inherited from itk::ProcessObject | |
template<typename TSourceObject > | |
static void | MakeRequiredOutputs (TSourceObject &sourceObject, const DataObjectPointerArraySizeType numberOfRequiredOutputs) |
static constexpr float | progressFixedToFloat (uint32_t fixed) |
static uint32_t | progressFloatToFixed (float f) |
Protected Attributes inherited from itk::ProcessObject | |
TimeStamp | m_OutputInformationMTime {} |
bool | m_Updating {} |
Protected Attributes inherited from itk::LightObject | |
std::atomic< int > | m_ReferenceCount {} |
using itk::Statistics::MeanSampleFilter< TSample >::ConstPointer = SmartPointer<const Self> |
Definition at line 58 of file itkMeanSampleFilter.h.
|
protected |
DataObject pointer
Definition at line 112 of file itkMeanSampleFilter.h.
|
protected |
Definition at line 114 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::MeasurementRealType = typename NumericTraits<MeasurementType>::RealType |
Type of a floating point measurement component value
Definition at line 79 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::MeasurementType = typename SampleType::MeasurementType |
Type of measurement vector component value
Definition at line 73 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::MeasurementVectorDecoratedType = SimpleDataObjectDecorator<MeasurementVectorRealType> |
MeasurementVector is not a DataObject, we need to decorate it to push it down a ProcessObject's pipeline
Definition at line 98 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::MeasurementVectorRealType = typename NumericTraits<MeasurementVectorType>::RealType |
Type of a measurement vector, holding floating point values
Definition at line 76 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::MeasurementVectorSizeType = typename SampleType::MeasurementVectorSizeType |
Type of the length of each measurement vector
Definition at line 70 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::MeasurementVectorType = typename SampleType::MeasurementVectorType |
Type of each measurement vector in sample
Definition at line 67 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::OutputType = MeasurementVectorDecoratedType |
Definition at line 101 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::Pointer = SmartPointer<Self> |
Definition at line 57 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::SampleType = TSample |
Definition at line 59 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::Self = MeanSampleFilter |
Standard class type aliases.
Definition at line 55 of file itkMeanSampleFilter.h.
using itk::Statistics::MeanSampleFilter< TSample >::Superclass = ProcessObject |
Definition at line 56 of file itkMeanSampleFilter.h.
|
protected |
|
overrideprotecteddefault |
|
overrideprotectedvirtual |
This method causes the filter to generate its output.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::Statistics::WeightedMeanSampleFilter< TSample >.
const SampleType * itk::Statistics::MeanSampleFilter< TSample >::GetInput | ( | ) | const |
Method to get the sample
const MeasurementVectorRealType itk::Statistics::MeanSampleFilter< TSample >::GetMean | ( | ) | const |
Get the mean measurement vector
MeasurementVectorSizeType itk::Statistics::MeanSampleFilter< TSample >::GetMeasurementVectorSize | ( | ) | const |
|
overridevirtual |
Standard Macros
Reimplemented from itk::ProcessObject.
Reimplemented in itk::Statistics::WeightedMeanSampleFilter< TSample >.
const MeasurementVectorDecoratedType * itk::Statistics::MeanSampleFilter< TSample >::GetOutput | ( | ) | const |
|
overrideprotectedvirtual |
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.
|
static |
Standard Macros
void itk::Statistics::MeanSampleFilter< TSample >::SetInput | ( | const SampleType * | sample | ) |