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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 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
*
* \ingroup ITKStatistics
*/
template< typename TSample >
class ITK_TEMPLATE_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);
/** Types derived from the base class */
typedef typename Superclass::SampleType SampleType;
typedef typename Superclass::MeasurementVectorType MeasurementVectorType;
typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType;
typedef typename Superclass::MeasurementType MeasurementType;
/** Types derived from the base class */
typedef typename Superclass::MeasurementVectorRealType MeasurementVectorRealType;
typedef typename Superclass::MeasurementRealType MeasurementRealType;
/** Type of weight values */
typedef double WeightValueType;
/** Array type for weights */
typedef Array< WeightValueType > WeightArrayType;
/** Type of DataObjects to use for the weight array type */
typedef SimpleDataObjectDecorator< WeightArrayType > InputWeightArrayObjectType;
/** Method to set/get the input value of the weight array */
itkSetGetDecoratedInputMacro(Weights, WeightArrayType);
/** Weight calculation function type */
typedef FunctionBase< MeasurementVectorType, WeightValueType > WeightingFunctionType;
/** Type of DataObjects to use for Weight function */
typedef DataObjectDecorator< WeightingFunctionType > InputWeightingFunctionObjectType;
/** Method to set/get the weighting function */
itkSetGetDecoratedObjectInputMacro(WeightingFunction, WeightingFunctionType);
/** Types derived from the base class */
typedef typename Superclass::MeasurementVectorDecoratedType MeasurementVectorDecoratedType;
typedef typename Superclass::OutputType OutputType;
protected:
WeightedMeanSampleFilter();
virtual ~WeightedMeanSampleFilter() ITK_OVERRIDE;
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
void GenerateData() ITK_OVERRIDE;
// compute mean with weight array
void ComputeMeanWithWeights();
// compute mean using a weighting function
void ComputeMeanWithWeightingFunction();
private:
ITK_DISALLOW_COPY_AND_ASSIGN(WeightedMeanSampleFilter);
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkWeightedMeanSampleFilter.hxx"
#endif
#endif
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