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/*========================================================================= |
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Program: Insight Segmentation & Registration Toolkit |
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Module: $RCSfile: itkMeanImageFunction.h.html,v $ |
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Language: C++ |
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Date: $Date: 2006/01/17 19:15:41 $ |
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Version: $Revision: 1.4 $ |
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Copyright (c) Insight Software Consortium. All rights reserved. |
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See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details. |
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This software is distributed WITHOUT ANY WARRANTY; without even |
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the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR |
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PURPOSE. See the above copyright notices for more information. |
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=========================================================================*/ |
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#ifndef _itkMeanImageFunction_h |
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#define _itkMeanImageFunction_h |
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#include "itkImageFunction.h" |
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#include "itkNumericTraits.h" |
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namespace itk |
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{ |
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/** |
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* \class MeanImageFunction |
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* \brief Calculate the mean value in the neighborhood of a pixel |
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* |
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* Calculate the mean pixel value over the standard 8, 26, etc. connected |
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* neighborhood. This calculation uses a ZeroFluxNeumannBoundaryCondition. |
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* |
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* If called with a ContinuousIndex or Point, the calculation is performed |
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* at the nearest neighbor. |
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* |
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* This class is templated over the input image type and the |
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* coordinate representation type (e.g. float or double). |
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* |
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* \sa VectorMeanImageFunction |
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* |
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* \ingroup ImageFunctions |
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*/ |
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template <class TInputImage, class TCoordRep = float > |
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class ITK_EXPORT MeanImageFunction : |
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**public ImageFunction< TInputImage, |
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ITK_TYPENAME NumericTraits<typename TInputImage::PixelType>::RealType, |
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****TCoordRep > |
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{ |
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public: |
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/** Standard class typedefs. */ |
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typedef MeanImageFunction Self; |
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typedef ImageFunction<TInputImage, |
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ITK_TYPENAME NumericTraits<typename TInputImage::PixelType>::RealType, |
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TDA,IND |
****TCoordRep > Superclass; |
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TDA |
typedef SmartPointer<Self> Pointer; |
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typedef SmartPointer<const Self> ConstPointer; |
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/** Run-time type information (and related methods). */ |
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itkTypeMacro(MeanImageFunction, ImageFunction); |
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/** Method for creation through the object factory. */ |
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itkNewMacro(Self); |
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/** InputImageType typedef support. */ |
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typedef TInputImage InputImageType; |
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/** OutputType typdef support. */ |
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typedef typename Superclass::OutputType OutputType; |
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/** Index typedef support. */ |
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typedef typename Superclass::IndexType IndexType; |
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/** ContinuousIndex typedef support. */ |
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typedef typename Superclass::ContinuousIndexType ContinuousIndexType; |
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/** Point typedef support. */ |
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typedef typename Superclass::PointType PointType; |
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/** Dimension of the underlying image. */ |
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itkStaticConstMacro(ImageDimension, unsigned int, |
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InputImageType::ImageDimension); |
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/** Datatype used for the mean */ |
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typedef typename NumericTraits<typename InputImageType::PixelType>::RealType |
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******RealType; |
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/** Evalulate the function at specified index */ |
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virtual RealType EvaluateAtIndex( const IndexType& index ) const; |
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/** Evaluate the function at non-integer positions */ |
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virtual RealType Evaluate( const PointType& point ) const |
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{ |
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******IndexType index; |
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******this->ConvertPointToNearestIndex( point, index ); |
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******return this->EvaluateAtIndex( index ); |
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} |
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virtual RealType EvaluateAtContinuousIndex( |
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const ContinuousIndexType& cindex ) const |
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{ |
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******IndexType index; |
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******this->ConvertContinuousIndexToNearestIndex( cindex, index ); |
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******return this->EvaluateAtIndex( index ) ; |
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} |
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/** Get/Set the radius of the neighborhood over which the |
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******statistics are evaluated */ |
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itkSetMacro( NeighborhoodRadius, unsigned int ); |
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itkGetConstReferenceMacro( NeighborhoodRadius, unsigned int ); |
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protected: |
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MeanImageFunction(); |
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~MeanImageFunction(){}; |
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void PrintSelf(std::ostream& os, Indent indent) const; |
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private: |
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MeanImageFunction( const Self& ); //purposely not implemented |
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void operator=( const Self& ); //purposely not implemented |
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unsigned int m_NeighborhoodRadius; |
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}; |
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} // namespace itk |
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#ifndef ITK_MANUAL_INSTANTIATION |
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#include "itkMeanImageFunction.txx" |
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#endif |
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#endif |
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EOF |
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