/usr/include/ITK-4.5/itkMeanImageFunction.h is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
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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 __itkMeanImageFunction_h
#define __itkMeanImageFunction_h
#include "itkImageFunction.h"
#include "itkNumericTraits.h"
namespace itk
{
/**
* \class MeanImageFunction
* \brief Calculate the mean value in the neighborhood of a pixel
*
* Calculate the mean pixel value over the standard 8, 26, etc. connected
* neighborhood. This calculation uses a ZeroFluxNeumannBoundaryCondition.
*
* If called with a ContinuousIndex or Point, the calculation is performed
* at the nearest neighbor.
*
* This class is templated over the input image type and the
* coordinate representation type (e.g. float or double).
*
* \sa VectorMeanImageFunction
*
* \ingroup ImageFunctions
* \ingroup ITKImageFunction
*/
template< typename TInputImage, typename TCoordRep = float >
class MeanImageFunction:
public ImageFunction< TInputImage,
typename NumericTraits< typename TInputImage::PixelType >::RealType,
TCoordRep >
{
public:
/** Standard class typedefs. */
typedef MeanImageFunction Self;
typedef ImageFunction< TInputImage,
typename NumericTraits< typename TInputImage::PixelType >::RealType,
TCoordRep > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro(MeanImageFunction, ImageFunction);
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** InputImageType typedef support. */
typedef TInputImage InputImageType;
/** OutputType typdef support. */
typedef typename Superclass::OutputType OutputType;
/** Index typedef support. */
typedef typename Superclass::IndexType IndexType;
/** ContinuousIndex typedef support. */
typedef typename Superclass::ContinuousIndexType ContinuousIndexType;
/** Point typedef support. */
typedef typename Superclass::PointType PointType;
/** Dimension of the underlying image. */
itkStaticConstMacro(ImageDimension, unsigned int,
InputImageType::ImageDimension);
/** Datatype used for the mean */
typedef typename NumericTraits< typename InputImageType::PixelType >::RealType
RealType;
/** Evalulate the function at specified index */
virtual RealType EvaluateAtIndex(const IndexType & index) const;
/** Evaluate the function at non-integer positions */
virtual RealType Evaluate(const PointType & point) const
{
IndexType index;
this->ConvertPointToNearestIndex(point, index);
return this->EvaluateAtIndex(index);
}
virtual RealType EvaluateAtContinuousIndex(
const ContinuousIndexType & cindex) const
{
IndexType index;
this->ConvertContinuousIndexToNearestIndex(cindex, index);
return this->EvaluateAtIndex(index);
}
/** Get/Set the radius of the neighborhood over which the
statistics are evaluated */
itkSetMacro(NeighborhoodRadius, unsigned int);
itkGetConstReferenceMacro(NeighborhoodRadius, unsigned int);
protected:
MeanImageFunction();
~MeanImageFunction(){}
void PrintSelf(std::ostream & os, Indent indent) const;
private:
MeanImageFunction(const Self &); //purposely not implemented
void operator=(const Self &); //purposely not implemented
unsigned int m_NeighborhoodRadius;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMeanImageFunction.hxx"
#endif
#endif
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