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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkMeanSampleFilter_h
#define itkMeanSampleFilter_h
#include "itkProcessObject.h"
#include "itkArray.h"
#include "itkSimpleDataObjectDecorator.h"
namespace itk
{
namespace Statistics
{
/** \class MeanSampleFilter
* \brief 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
* \f$ = \frac{1}{n}\sum^{n}_{i=1}x_{i}\f$ where \f$n\f$ 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.
* \ingroup ITKStatistics
*/
template< typename TSample >
class ITK_TEMPLATE_EXPORT MeanSampleFilter : public ProcessObject
{
public:
/**Standard class typedefs. */
typedef MeanSampleFilter Self;
typedef ProcessObject Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
typedef TSample SampleType;
/**Standard Macros */
itkTypeMacro(MeanSampleFilter, ProcessObject);
itkNewMacro(Self);
/** Type of each measurement vector in sample */
typedef typename SampleType::MeasurementVectorType MeasurementVectorType;
/** Type of the length of each measurement vector */
typedef typename SampleType::MeasurementVectorSizeType MeasurementVectorSizeType;
/** Type of measurement vector component value */
typedef typename SampleType::MeasurementType MeasurementType;
/** Type of a measurement vector, holding floating point values */
typedef typename NumericTraits< MeasurementVectorType >::RealType MeasurementVectorRealType;
/** Type of a floating point measurement component value */
typedef typename NumericTraits< MeasurementType >::RealType MeasurementRealType;
/** Method to set the sample */
using Superclass::SetInput;
void SetInput(const SampleType *sample);
/** Method to get the sample */
const SampleType * GetInput() const;
/** Get the mean measurement vector */
const MeasurementVectorRealType GetMean() const;
/** MeasurementVector is not a DataObject, we need to decorate it to push it down
* a ProcessObject's pipeline */
typedef SimpleDataObjectDecorator< MeasurementVectorRealType > MeasurementVectorDecoratedType;
const MeasurementVectorDecoratedType * GetOutput() const;
typedef MeasurementVectorDecoratedType OutputType;
MeasurementVectorSizeType GetMeasurementVectorSize() const;
protected:
MeanSampleFilter();
virtual ~MeanSampleFilter() ITK_OVERRIDE;
virtual void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** DataObject pointer */
typedef DataObject::Pointer DataObjectPointer;
typedef ProcessObject::DataObjectPointerArraySizeType DataObjectPointerArraySizeType;
using Superclass::MakeOutput;
virtual DataObjectPointer MakeOutput(DataObjectPointerArraySizeType idx) ITK_OVERRIDE;
virtual void GenerateData() ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(MeanSampleFilter);
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMeanSampleFilter.hxx"
#endif
#endif
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