itkDiscreteGaussianImageFilter.h

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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkDiscreteGaussianImageFilter.h,v $
  Language:  C++
  Date:      $Date: 2002/09/13 03:14:23 $
  Version:   $Revision: 1.25 $

  Copyright (c) 2002 Insight Consortium. All rights reserved.
  See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.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 __itkDiscreteGaussianImageFilter_h
#define __itkDiscreteGaussianImageFilter_h

#include "itkImageToImageFilter.h"
#include "itkImage.h"

namespace itk
{
template <class TInputImage, class TOutputImage >
class ITK_EXPORT DiscreteGaussianImageFilter :
    public ImageToImageFilter< TInputImage, TOutputImage > 
{
public:
  typedef DiscreteGaussianImageFilter Self;
  typedef ImageToImageFilter< TInputImage, TOutputImage > Superclass;
  typedef SmartPointer<Self> Pointer;
  typedef SmartPointer<const Self>  ConstPointer;

  itkNewMacro(Self);

  itkTypeMacro(DiscreteGaussianImageFilter, ImageToImageFilter);
  
  typedef TInputImage  InputImageType;
  typedef TOutputImage OutputImageType;

  typedef typename TOutputImage::PixelType OutputPixelType;
  typedef typename TOutputImage::InternalPixelType OutputInternalPixelType;
  typedef typename TInputImage::PixelType InputPixelType;
  typedef typename TInputImage::InternalPixelType InputInternalPixelType;

  itkStaticConstMacro(ImageDimension, unsigned int,
                      TOutputImage::ImageDimension);
  
  itkSetVectorMacro(Variance, double, ImageDimension);
  itkSetVectorMacro(Variance, float, ImageDimension);
  itkGetVectorMacro(Variance, const double, ImageDimension);
  itkSetVectorMacro(MaximumError, double, ImageDimension);
  itkSetVectorMacro(MaximumError, float, ImageDimension);
  itkGetVectorMacro(MaximumError, const double, ImageDimension);
  itkGetMacro(MaximumKernelWidth, int);
  itkSetMacro(MaximumKernelWidth, int);
  itkGetMacro(FilterDimensionality, unsigned int);
  itkSetMacro(FilterDimensionality, unsigned int);
  
  void SetVariance(const double v)
    {
    double vArray[ImageDimension];
    for (unsigned int i = 0; i<ImageDimension; ++i) { vArray[i] = v; }
    this->SetVariance(vArray);
    }
  void SetMaximumError(const double v)
    {
    double vArray[ImageDimension];
    for (unsigned int i = 0; i<ImageDimension; ++i) { vArray[i] = v; }
    this->SetMaximumError(vArray);
    }

  void SetVariance(const float v)
    {
    double vArray[ImageDimension];
    for (unsigned int i = 0; i<ImageDimension; ++i) { vArray[i] = static_cast<double>(v); }
    this->SetVariance(vArray);
    }
  void SetMaximumError(const float v)
    {
    double vArray[ImageDimension];
    for (unsigned int i = 0; i<ImageDimension; ++i) { vArray[i] = static_cast<double>(v); }
    this->SetMaximumError(vArray);
    }
  
  virtual void GenerateInputRequestedRegion() throw(InvalidRequestedRegionError);

protected:
  DiscreteGaussianImageFilter()
    {
    unsigned int i;
    for (i = 0; i < ImageDimension; i++)
      {
      m_Variance[i] = 0.0f;
      m_MaximumError[i] = 0.01f;
      m_MaximumKernelWidth = 32;
      }
    m_FilterDimensionality = ImageDimension;
    }
  virtual ~DiscreteGaussianImageFilter() {}
  void PrintSelf(std::ostream& os, Indent indent) const;

  void GenerateData();

  
private:
  DiscreteGaussianImageFilter(const Self&); //purposely not implemented
  void operator=(const Self&); //purposely not implemented

  double m_Variance[ImageDimension];

  double m_MaximumError[ImageDimension];

  int m_MaximumKernelWidth;

  unsigned int m_FilterDimensionality;
};
  
} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkDiscreteGaussianImageFilter.txx"
#endif

#endif

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