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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 itkMeanProjectionImageFilter_h
#define itkMeanProjectionImageFilter_h
#include "itkProjectionImageFilter.h"
#include "itkConceptChecking.h"
namespace itk
{
/** \class MeanProjectionImageFilter
* \brief Mean projection
*
* This class was contributed to the Insight Journal by Gaetan Lehmann.
* The original paper can be found at
* https://hdl.handle.net/1926/164
*
* \author Gaetan Lehmann. Biologie du Developpement et de la Reproduction,
* INRA de Jouy-en-Josas, France.
*
* \sa ProjectionImageFilter
* \sa MedianProjectionImageFilter
* \sa MinimumProjectionImageFilter
* \sa StandardDeviationProjectionImageFilter
* \sa SumProjectionImageFilter
* \sa BinaryProjectionImageFilter
* \sa MaximumProjectionImageFilter
* \ingroup ITKImageStatistics
*/
namespace Functor
{
template< typename TInputPixel, typename TAccumulate >
class MeanAccumulator
{
public:
typedef typename NumericTraits< TInputPixel >::RealType RealType;
MeanAccumulator( SizeValueType size )
{
m_Size = size;
}
~MeanAccumulator()
{
m_Size = NumericTraits< SizeValueType >::ZeroValue();
}
inline void Initialize()
{
m_Sum = NumericTraits< TAccumulate >::ZeroValue();
}
inline void operator()(const TInputPixel & input)
{
m_Sum = m_Sum + input;
}
inline RealType GetValue()
{
return ( (RealType)m_Sum ) / m_Size;
}
TAccumulate m_Sum;
SizeValueType m_Size;
};
} // end namespace Function
template< typename TInputImage, typename TOutputImage,
typename TAccumulate =
typename NumericTraits<
typename TOutputImage::PixelType >::AccumulateType >
class MeanProjectionImageFilter:public
ProjectionImageFilter< TInputImage, TOutputImage,
Functor::MeanAccumulator< typename TInputImage::PixelType, TAccumulate > >
{
public:
typedef MeanProjectionImageFilter Self;
typedef ProjectionImageFilter< TInputImage, TOutputImage,
Functor::MeanAccumulator<
typename TInputImage::PixelType, TAccumulate > > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
typedef TInputImage InputImageType;
typedef typename InputImageType::PixelType InputPixelType;
typedef TOutputImage OutputImageType;
typedef typename OutputImageType::PixelType OutputPixelType;
/** Runtime information support. */
itkTypeMacro(MeanProjectionImageFilter, ProjectionImageFilter);
/** Method for creation through the object factory. */
itkNewMacro(Self);
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro( InputPixelToOutputPixelTypeGreaterAdditiveOperatorCheck,
( Concept::AdditiveOperators< OutputPixelType,
InputPixelType,
OutputPixelType > ) );
itkConceptMacro( InputHasNumericTraitsCheck,
( Concept::HasNumericTraits< InputPixelType > ) );
// End concept checking
#endif
protected:
MeanProjectionImageFilter() {}
virtual ~MeanProjectionImageFilter() ITK_OVERRIDE {}
private:
ITK_DISALLOW_COPY_AND_ASSIGN(MeanProjectionImageFilter);
}; // end MeanProjectionImageFilter
} //end namespace itk
#endif
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