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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkBSplineDecompositionImageFilter.h,v $
Language: C++
Date: $Date: 2008-01-04 12:55:24 $
Version: $Revision: 1.8 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
Portions of this code are covered under the VTK copyright.
See VTKCopyright.txt or http://www.kitware.com/VTKCopyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkBSplineDecompositionImageFilter_h
#define __itkBSplineDecompositionImageFilter_h
#include <vector>
#include "itkImageLinearIteratorWithIndex.h"
#include "vnl/vnl_matrix.h"
#include "itkImageToImageFilter.h"
namespace itk
{
/** \class itkBSplineDecompositionImageFilter
* \brief Calculates the B-Spline coefficients of an image. Spline order may be from 0 to 5.
*
* This class defines N-Dimension B-Spline transformation.
* It is based on:
* [1] M. Unser,
* "Splines: A Perfect Fit for Signal and Image Processing,"
* IEEE Signal Processing Magazine, vol. 16, no. 6, pp. 22-38,
* November 1999.
* [2] M. Unser, A. Aldroubi and M. Eden,
* "B-Spline Signal Processing: Part I--Theory,"
* IEEE Transactions on Signal Processing, vol. 41, no. 2, pp. 821-832,
* February 1993.
* [3] M. Unser, A. Aldroubi and M. Eden,
* "B-Spline Signal Processing: Part II--Efficient Design and Applications,"
* IEEE Transactions on Signal Processing, vol. 41, no. 2, pp. 834-848,
* February 1993.
* And code obtained from bigwww.epfl.ch by Philippe Thevenaz
*
* Limitations: Spline order must be between 0 and 5.
* Spline order must be set before setting the image.
* Uses mirror boundary conditions.
* Requires the same order of Spline for each dimension.
* Can only process LargestPossibleRegion
*
* \sa itkBSplineInterpolateImageFunction
*
* ***TODO: Is this an ImageFilter? or does it belong to another group?
* \ingroup ImageFilters
* \ingroup SingleThreaded
* \ingroup CannotBeStreamed
*/
template <class TInputImage, class TOutputImage>
class ITK_EXPORT BSplineDecompositionImageFilter :
public ImageToImageFilter<TInputImage,TOutputImage>
{
public:
/** Standard class typedefs. */
typedef BSplineDecompositionImageFilter Self;
typedef ImageToImageFilter<TInputImage,TOutputImage> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro(BSplineDecompositionImageFilter, ImageToImageFilter);
/** New macro for creation of through a Smart Pointer */
itkNewMacro( Self );
/** Inherit input and output image types from Superclass. */
typedef typename Superclass::InputImageType InputImageType;
typedef typename Superclass::InputImagePointer InputImagePointer;
typedef typename Superclass::InputImageConstPointer InputImageConstPointer;
typedef typename Superclass::OutputImagePointer OutputImagePointer;
/** Dimension underlying input image. */
itkStaticConstMacro(ImageDimension, unsigned int,TInputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int,
TOutputImage::ImageDimension);
/** Iterator typedef support */
typedef ImageLinearIteratorWithIndex<TOutputImage> OutputLinearIterator;
/** Get/Sets the Spline Order, supports 0th - 5th order splines. The default
* is a 3rd order spline. */
void SetSplineOrder(unsigned int SplineOrder);
itkGetMacro(SplineOrder, int);
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(DimensionCheck,
(Concept::SameDimension<ImageDimension, OutputImageDimension>));
itkConceptMacro(InputConvertibleToDoubleCheck,
(Concept::Convertible<typename TInputImage::PixelType, double>));
itkConceptMacro(OutputConvertibleToDoubleCheck,
(Concept::Convertible<typename TOutputImage::PixelType, double>));
itkConceptMacro(InputConvertibleToOutputCheck,
(Concept::Convertible<typename TInputImage::PixelType,
typename TOutputImage::PixelType>));
itkConceptMacro(DoubleConvertibleToOutputCheck,
(Concept::Convertible<double, typename TOutputImage::PixelType>));
/** End concept checking */
#endif
protected:
BSplineDecompositionImageFilter();
virtual ~BSplineDecompositionImageFilter() {};
void PrintSelf(std::ostream& os, Indent indent) const;
void GenerateData( );
/** This filter requires all of the input image. */
void GenerateInputRequestedRegion();
/** This filter must produce all of its output at once. */
void EnlargeOutputRequestedRegion( DataObject *output );
/** These are needed by the smoothing spline routine. */
std::vector<double> m_Scratch; // temp storage for processing of Coefficients
typename TInputImage::SizeType m_DataLength; // Image size
unsigned int m_SplineOrder; // User specified spline order (3rd or cubic is the default)
double m_SplinePoles[3];// Poles calculated for a given spline order
int m_NumberOfPoles; // number of poles
double m_Tolerance; // Tolerance used for determining initial causal coefficient
unsigned int m_IteratorDirection; // Direction for iterator incrementing
private:
BSplineDecompositionImageFilter( const Self& ); //purposely not implemented
void operator=( const Self& ); //purposely not implemented
/** Determines the poles given the Spline Order. */
virtual void SetPoles();
/** Converts a vector of data to a vector of Spline coefficients. */
virtual bool DataToCoefficients1D();
/** Converts an N-dimension image of data to an equivalent sized image
* of spline coefficients. */
void DataToCoefficientsND();
/** Determines the first coefficient for the causal filtering of the data. */
virtual void SetInitialCausalCoefficient(double z);
/** Determines the first coefficient for the anti-causal filtering of the data. */
virtual void SetInitialAntiCausalCoefficient(double z);
/** Used to initialize the Coefficients image before calculation. */
void CopyImageToImage();
/** Copies a vector of data from the Coefficients image to the m_Scratch vector. */
void CopyCoefficientsToScratch( OutputLinearIterator & );
/** Copies a vector of data from m_Scratch to the Coefficients image. */
void CopyScratchToCoefficients( OutputLinearIterator & );
};
} // namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkBSplineDecompositionImageFilter.txx"
#endif
#endif
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