itkDiscreteGaussianImageFilter.h

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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 __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;

  typedef typename NumericTraits<InputPixelType>::ValueType InputPixelValueType;
  typedef typename NumericTraits<OutputPixelType>::ValueType OutputPixelValueType;

  itkStaticConstMacro(ImageDimension, unsigned int,
                      TOutputImage::ImageDimension);

  typedef FixedArray< double, itkGetStaticConstMacro(ImageDimension) > ArrayType;

  itkSetMacro(Variance, ArrayType);
  itkGetConstMacro(Variance, const ArrayType);

  itkSetMacro(MaximumError, ArrayType);
  itkGetConstMacro(MaximumError, const ArrayType);

  itkGetConstMacro(MaximumKernelWidth, int);
  itkSetMacro(MaximumKernelWidth, int);

  itkGetConstMacro(FilterDimensionality, unsigned int);
  itkSetMacro(FilterDimensionality, unsigned int);

  void SetVariance(const typename ArrayType::ValueType v)
  {
    m_Variance.Fill(v);
  }

  void SetMaximumError(const typename ArrayType::ValueType v)
  {
    m_MaximumError.Fill(v);
  }

  void SetVariance(const double *v)
  {
    ArrayType dv;

    for ( unsigned int i = 0; i < ImageDimension; i++ )
      {
      dv[i] = v[i];
      }
    this->SetVariance(dv);
  }

  void SetVariance(const float *v)
  {
    ArrayType dv;

    for ( unsigned int i = 0; i < ImageDimension; i++ )
      {
      dv[i] = v[i];
      }
    this->SetVariance(dv);
  }

  void SetMaximumError(const double *v)
  {
    ArrayType dv;

    for ( unsigned int i = 0; i < ImageDimension; i++ )
      {
      dv[i] = v[i];
      }
    this->SetMaximumError(dv);
  }

  void SetMaximumError(const float *v)
  {
    ArrayType dv;

    for ( unsigned int i = 0; i < ImageDimension; i++ )
      {
      dv[i] = v[i];
      }
    this->SetMaximumError(dv);
  }

  void SetUseImageSpacingOn()
  { this->SetUseImageSpacing(true); }

  void SetUseImageSpacingOff()
  { this->SetUseImageSpacing(false); }

  itkSetMacro(UseImageSpacing, bool);
  itkGetConstMacro(UseImageSpacing, bool);

  itkSetMacro(InternalNumberOfStreamDivisions, unsigned int);
  itkGetConstReferenceMacro(InternalNumberOfStreamDivisions, unsigned int);

  virtual void GenerateInputRequestedRegion()
  throw( InvalidRequestedRegionError );

#ifdef ITK_USE_CONCEPT_CHECKING

  itkConceptMacro( OutputHasNumericTraitsCheck,
                   ( Concept::HasNumericTraits< OutputPixelValueType > ) );

#endif
protected:
  DiscreteGaussianImageFilter()
  {
    m_Variance.Fill(0.0);
    m_MaximumError.Fill(0.01);
    m_MaximumKernelWidth = 32;
    m_UseImageSpacing = true;
    m_FilterDimensionality = ImageDimension;
    m_InternalNumberOfStreamDivisions = ImageDimension * 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

  ArrayType m_Variance;

  ArrayType m_MaximumError;

  int m_MaximumKernelWidth;

  unsigned int m_FilterDimensionality;

  bool m_UseImageSpacing;

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

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

#endif