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/*========================================================================= |
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Program: Insight Segmentation & Registration Toolkit |
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Module: $RCSfile: itkGaussianBlurImageFunction.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 _itkGaussianBlurImageFunction_h |
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DEF |
#define _itkGaussianBlurImageFunction_h |
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#include "itkNeighborhoodOperatorImageFunction.h" |
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#include "itkGaussianOperator.h" |
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#include "itkGaussianSpatialFunction.h" |
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#include "itkImageFunction.h" |
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#include "itkCastImageFilter.h" |
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namespace itk |
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{ |
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/** |
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* \class GaussianBlurImageFunction |
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* \brief Compute the convolution of a neighborhood operator with 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 GaussianBlurImageFunction : |
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IND |
**public ImageFunction< TInputImage, TOutput > |
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{ |
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public: |
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/**Standard "Self" typedef */ |
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typedef GaussianBlurImageFunction Self; |
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/** Standard "Superclass" typedef*/ |
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typedef ImageFunction<TInputImage, 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( GaussianBlurImageFunction, 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 Superclass::IndexType IndexType; |
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typedef typename Superclass::ContinuousIndexType ContinuousIndexType; |
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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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typedef GaussianOperator<TOutput, |
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itkGetStaticConstMacro(ImageDimension)> |
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******************************************************GaussianOperatorType; |
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LEN,TDA |
typedef Neighborhood<TOutput, itkGetStaticConstMacro(ImageDimension)> NeighborhoodType; |
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LEN,TDA |
typedef FixedArray<NeighborhoodType,itkGetStaticConstMacro(ImageDimension)> OperatorArrayType; |
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typedef GaussianSpatialFunction<TOutput,1> GaussianFunctionType; |
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TDA |
typedef typename GaussianFunctionType::Pointer GaussianFunctionPointer; |
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LEN,TDA |
typedef itk::Image<double,itkGetStaticConstMacro(ImageDimension)> InternalImageType; |
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typedef typename InternalImageType::Pointer InternalImagePointer; |
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typedef NeighborhoodOperatorImageFunction<InternalImageType, |
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TOutput> OperatorImageFunctionType; |
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typedef typename OperatorImageFunctionType::Pointer OperatorImageFunctionPointer; |
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LEN |
typedef itk::CastImageFilter<InputImageType,InternalImageType> CastImageFilterType; |
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TDA |
typedef typename CastImageFilterType::Pointer CastImageFilterPointer; |
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typedef itk::FixedArray< double, |
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itkGetStaticConstMacro(ImageDimension) > ErrorArrayType; |
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typedef itk::FixedArray< double, |
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itkGetStaticConstMacro(ImageDimension) > ExtentArrayType; |
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typedef itk::FixedArray< double, |
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itkGetStaticConstMacro(ImageDimension) > SigmaArrayType; |
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/** Point typedef support. */ |
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typedef typename Superclass::PointType PointType; |
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/** Evalutate the in the given dimension at specified point */ |
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***virtual TOutput Evaluate(const PointType& point) const; |
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/** Evaluate the function at specified Index position*/ |
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virtual TOutput EvaluateAtIndex( const IndexType & index ) const; |
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/** Evaluate the function at specified ContinousIndex position.*/ |
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virtual TOutput EvaluateAtContinuousIndex( |
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const ContinuousIndexType & index ) const; |
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/** The standard deviation for the discrete Gaussian kernel. Sets the |
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* standard deviation independently for each dimension. |
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* The default is 1.0 in each dimension. |
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* If UseImageSpacing is true (default), 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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*/ |
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void SetSigma( const double* sigma); |
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void SetSigma( const float* sigma); |
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void SetSigma( const double sigma); |
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itkSetMacro( Sigma, SigmaArrayType ); |
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itkGetConstReferenceMacro( Sigma, SigmaArrayType ); |
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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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/** Set/Get the Extent of the array holding the coefficients |
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* of the Gaussian kernel computed by the GaussianOperator. |
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*/ |
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itkSetMacro( Extent, ExtentArrayType ); |
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itkGetConstReferenceMacro( Extent, ExtentArrayType ); |
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void SetExtent( const double* extent); |
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void SetExtent( const double extent); |
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/** Set/Get the maximum error acceptable for the approximation |
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* of the Gaussian kernel with the GaussianOperator. |
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*/ |
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itkSetMacro( MaximumError, ErrorArrayType ); |
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itkGetConstReferenceMacro( MaximumError, ErrorArrayType ); |
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/** Set/GetMaximumKernelWidth() This value is used by the underling |
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* GaussianOperator for computing the number of coefficients to be |
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* used in the Gaussian kernel |
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*/ |
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itkSetMacro( MaximumKernelWidth, int ); |
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itkGetMacro( MaximumKernelWidth, int ); |
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/** Set/GetUseImageSpacing() This flag is used by the underling |
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* GaussianOperator to decide if the image spacing should be used |
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* to scale the value of sigma or not. The methods UseImageSpacingOn() |
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* and UseImageSpacingOff() provide a similar functionality. |
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*/ |
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itkSetMacro( UseImageSpacing, bool ); |
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itkGetMacro( UseImageSpacing, bool ); |
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itkBooleanMacro( UseImageSpacing ); |
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protected: |
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GaussianBlurImageFunction(); |
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GaussianBlurImageFunction( const Self& ){}; |
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~GaussianBlurImageFunction(){}; |
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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(const double* offset) const; |
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private: |
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SigmaArrayType m_Sigma; |
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OperatorImageFunctionPointer m_OperatorImageFunction; |
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mutable OperatorArrayType m_OperatorArray; |
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mutable OperatorArrayType m_ContinuousOperatorArray; |
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InternalImagePointer m_InternalImage; |
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CastImageFilterPointer m_Caster; |
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/** The maximum error of the gaussian blurring kernel in each dimensional |
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* direction. For definition of maximum error, see GaussianOperator. |
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* \sa GaussianOperator */ |
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ErrorArrayType m_MaximumError; |
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ExtentArrayType m_Extent; |
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/** Maximum allowed kernel width for any dimension of the discrete Gaussian |
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******approximation */ |
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int m_MaximumKernelWidth; |
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/** Number of dimensions to process. Default is all dimensions */ |
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unsigned int m_FilterDimensionality; |
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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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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 "itkGaussianBlurImageFunction.txx" |
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#endif |
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#endif |
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EOF |
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