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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkWeightedMeanSampleFilter.h
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkWeightedMeanSampleFilter_h
#define __itkWeightedMeanSampleFilter_h
#include "itkMeanSampleFilter.h"
#include "itkFunctionBase.h"
#include "itkDataObjectDecorator.h"
namespace itk {
namespace Statistics {
/** \class WeightedMeanSampleFilter
* \brief Given a sample where each measurement vector has
* associated weight value, this filter computes the sample mean
*
* To run this algorithm, you have plug in the target sample data
* using SetInput method and provides weight by an array or function.
*. Then call the Update method to run the alogithm.
*
* \sa MeanSampleFilter
*
*/
template< class TSample >
class ITK_EXPORT WeightedMeanSampleFilter : public MeanSampleFilter< TSample >
{
public:
/**Standard class typedefs. */
typedef WeightedMeanSampleFilter Self;
typedef MeanSampleFilter< TSample > Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/**Standard Macros */
itkTypeMacro(WeightedMeanSampleFilter, MeanSampleFilter);
itkNewMacro(Self);
/** Traits derived from the base class */
itkSuperclassTraitMacro( SampleType )
itkSuperclassTraitMacro( MeasurementType )
itkSuperclassTraitMacro( MeasurementVectorType )
itkSuperclassTraitMacro( MeasurementVectorSizeType )
itkSuperclassTraitMacro( MeasurementVectorDecoratedType )
itkSuperclassTraitMacro( OutputType )
/** Array typedef for weights */
typedef Array< double > WeightArrayType;
/** Type of DataObjects to use for the weight array type */
typedef SimpleDataObjectDecorator< WeightArrayType > InputWeightArrayObjectType;
/** Method to set the input value of the weight array */
itkSetDecoratedInputMacro( Weights, WeightArrayType, 1 );
/** Weight calculation function typedef */
typedef FunctionBase< MeasurementVectorType, double > WeightingFunctionType;
/** Type of DataObjects to use for Weight function */
typedef DataObjectDecorator< WeightingFunctionType > InputWeightingFunctionObjectType;
/** Method to set the weighting function */
itkSetDecoratedObjectInputMacro( WeightingFunction, WeightingFunctionType, 2 );
protected:
WeightedMeanSampleFilter();
virtual ~WeightedMeanSampleFilter();
void PrintSelf(std::ostream& os, Indent indent) const;
void GenerateData();
// compute mean with weight array
void ComputeMeanWithWeights();
// compute mean using a weighting function
void ComputeMeanWithWeightingFunction();
private:
WeightedMeanSampleFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkWeightedMeanSampleFilter.txx"
#endif
#endif
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