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/*========================================================================= |
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Program: Insight Segmentation & Registration Toolkit |
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Module: $RCSfile: itkGaussianDerivativeImageFunction.h.html,v $ |
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Language: C++ |
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Date: $Date: 2006/01/17 19:15:36 $ |
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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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DEF |
#ifndef _itkGaussianDerivativeImageFunction_h |
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DEF |
#define _itkGaussianDerivativeImageFunction_h |
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#include "itkNeighborhoodOperatorImageFunction.h" |
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#include "itkImageFunction.h" |
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#include "itkGaussianDerivativeSpatialFunction.h" |
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#include "itkGaussianSpatialFunction.h" |
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namespace itk |
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{ |
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/** |
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* \class GaussianDerivativeImageFunction |
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* \brief Compute the gaussian derivatives of an the image |
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* at a specific location in space, i.e. point, index or continuous |
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* index. |
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* This class is templated over the input image type. |
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* \sa NeighborhoodOperator |
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* \sa ImageFunction |
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*/ |
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template <class TInputImage,class TOutput=double> |
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class ITK_EXPORT GaussianDerivativeImageFunction : |
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**public ImageFunction< TInputImage, |
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Vector<TOutput,::itk::GetImageDimension<TInputImage>::ImageDimension>, |
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****TOutput > |
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{ |
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public: |
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/**Standard "Self" typedef */ |
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typedef GaussianDerivativeImageFunction Self; |
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/** Standard "Superclass" typedef*/ |
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typedef ImageFunction<TInputImage, |
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Vector<TOutput,::itk::GetImageDimension<TInputImage>::ImageDimension>, |
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****TOutput > Superclass; |
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/** Smart pointer typedef support. */ |
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typedef SmartPointer<Self> Pointer; |
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TDA |
typedef SmartPointer<const Self> ConstPointer; |
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/** Method for creation through the object factory.*/ |
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itkNewMacro(Self); |
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/** Run-time type information (and related methods). */ |
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itkTypeMacro( GaussianDerivativeImageFunction, ImageFunction ); |
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/** InputImageType typedef support.*/ |
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typedef TInputImage InputImageType; |
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typedef typename InputImageType::PixelType InputPixelType; |
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typedef typename InputImageType::IndexType IndexType; |
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/** Dimension of the underlying image. */ |
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itkStaticConstMacro(ImageDimension2, unsigned int, |
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InputImageType::ImageDimension); |
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typedef ContinuousIndex<TOutput,itkGetStaticConstMacro(ImageDimension2)> |
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**********ContinuousIndexType; |
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typedef Neighborhood<InputPixelType, itkGetStaticConstMacro(ImageDimension2)> NeighborhoodType; |
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typedef Neighborhood<TOutput, itkGetStaticConstMacro(ImageDimension2)> OperatorNeighborhoodType; |
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typedef Vector<TOutput,itkGetStaticConstMacro(ImageDimension2)> VectorType; |
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TDA |
typedef typename Superclass::OutputType OutputType; |
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typedef FixedArray<OperatorNeighborhoodType,2*itkGetStaticConstMacro(ImageDimension2)> OperatorArrayType; |
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typedef NeighborhoodOperatorImageFunction<InputImageType, |
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TDA |
TOutput> OperatorImageFunctionType; |
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typedef typename OperatorImageFunctionType::Pointer OperatorImageFunctionPointer; |
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typedef GaussianDerivativeSpatialFunction<TOutput,1> GaussianDerivativeFunctionType; |
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typedef typename GaussianDerivativeFunctionType::Pointer GaussianDerivativeFunctionPointer; |
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typedef GaussianSpatialFunction<TOutput,1> GaussianFunctionType; |
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typedef typename GaussianFunctionType::Pointer GaussianFunctionPointer; |
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/** Point typedef support. */ |
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typedef Point<TOutput,itkGetStaticConstMacro(ImageDimension2)> PointType; |
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/** Evalutate the in the given dimension at specified point */ |
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virtual OutputType Evaluate(const PointType& point) const; |
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/** Evaluate the function at specified Index position*/ |
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virtual OutputType EvaluateAtIndex( const IndexType & index ) const; |
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/** Evaluate the function at specified ContinousIndex position.*/ |
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virtual OutputType EvaluateAtContinuousIndex( |
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const ContinuousIndexType & index ) const; |
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/** The variance for the discrete Gaussian kernel. Sets the variance |
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* independently for each dimension, but |
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* see also SetVariance(const double v). The default is 0.0 in each |
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* dimension. If UseImageSpacing is true, the units are the physical units |
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* of your image. If UseImageSpacing is false then the units are pixels.*/ |
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void SetSigma( const double* sigma); |
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void SetSigma( const double sigma); |
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const double* GetSigma() const {return m_Sigma;} |
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/** Set the extent of the kernel */ |
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void SetExtent( const double* extent); |
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void SetExtent( const double extent); |
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const double* GetExtent() const {return m_Extent;} |
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/** Set the input image. |
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* \warning this method caches BufferedRegion information. |
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* If the BufferedRegion has changed, user must call |
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* SetInputImage again to update cached values. */ |
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virtual void SetInputImage( const InputImageType * ptr ); |
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protected: |
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GaussianDerivativeImageFunction(); |
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GaussianDerivativeImageFunction( const Self& ){}; |
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~GaussianDerivativeImageFunction(){}; |
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void operator=( const Self& ){}; |
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void PrintSelf(std::ostream& os, Indent indent) const; |
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void RecomputeGaussianKernel(); |
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void RecomputeContinuousGaussianKernel( |
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const double* offset) const; |
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private: |
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double m_Sigma[ImageDimension2]; |
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/** Array of 1D operators. Contains a derivative kernel and a gaussian kernel for |
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* each dimension */ |
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mutable OperatorArrayType m_OperatorArray; |
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mutable OperatorArrayType m_ContinuousOperatorArray; |
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/** OperatorImageFunction */ |
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OperatorImageFunctionPointer m_OperatorImageFunction; |
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double m_Extent[ImageDimension2]; |
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/** Flag to indicate whether to use image spacing */ |
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bool m_UseImageSpacing; |
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/** Neighborhood Image Function */ |
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GaussianDerivativeFunctionPointer m_GaussianDerivativeFunction; |
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GaussianFunctionPointer m_GaussianFunction; |
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}; |
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} // namespace itk |
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#ifndef ITK_MANUAL_INSTANTIATION |
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#include "itkGaussianDerivativeImageFunction.txx" |
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#endif |
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#endif |
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EOF |
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