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itkDiscreteGaussianDerivativeImageFilter.h

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00001 /*=========================================================================
00002 
00003   Program:   Insight Segmentation & Registration Toolkit
00004   Module:    $RCSfile: itkDiscreteGaussianDerivativeImageFilter.h,v $
00005   Language:  C++
00006   Date:      $Date: 2008-10-19 18:34:21 $
00007   Version:   $Revision: 1.2 $
00008 
00009   Copyright (c) Insight Software Consortium. All rights reserved.
00010   See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
00011 
00012      This software is distributed WITHOUT ANY WARRANTY; without even
00013      the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
00014      PURPOSE.  See the above copyright notices for more information.
00015 
00016 =========================================================================*/
00017 
00018 #ifndef __itkDiscreteGaussianDerivativeImageFilter_h
00019 #define __itkDiscreteGaussianDerivativeImageFilter_h
00020 
00021 #include "itkImageToImageFilter.h"
00022 #include "itkFixedArray.h"
00023 #include "itkImage.h"
00024 
00025 namespace itk
00026 {
00059 template <class TInputImage, class TOutputImage >
00060 class ITK_EXPORT DiscreteGaussianDerivativeImageFilter :
00061     public ImageToImageFilter< TInputImage, TOutputImage >
00062 {
00063 public:
00065   typedef DiscreteGaussianDerivativeImageFilter           Self;
00066   typedef ImageToImageFilter< TInputImage, TOutputImage > Superclass;
00067   typedef SmartPointer<Self>                              Pointer;
00068   typedef SmartPointer<const Self>                        ConstPointer;
00069 
00071   itkNewMacro(Self);
00072 
00074   itkTypeMacro(DiscreteGaussianDerivativeImageFilter, ImageToImageFilter);
00075 
00077   typedef TInputImage  InputImageType;
00078   typedef TOutputImage OutputImageType;
00079 
00082   typedef typename TOutputImage::PixelType         OutputPixelType;
00083   typedef typename TOutputImage::InternalPixelType OutputInternalPixelType;
00084   typedef typename TInputImage::PixelType          InputPixelType;
00085   typedef typename TInputImage::InternalPixelType  InputInternalPixelType;
00086 
00089   itkStaticConstMacro(ImageDimension, unsigned int,
00090                       TOutputImage::ImageDimension);
00091 
00093   typedef FixedArray<double, itkGetStaticConstMacro(ImageDimension)> ArrayType;
00094 
00096   typedef FixedArray<unsigned int, itkGetStaticConstMacro(ImageDimension)> OrderArrayType;
00097 
00101   itkSetMacro(Order, OrderArrayType);
00102   itkGetMacro(Order, const OrderArrayType);
00104 
00110   itkSetMacro(Variance, ArrayType);
00111   itkGetMacro(Variance, const ArrayType);
00113 
00117   itkSetMacro(MaximumError, ArrayType);
00118   itkGetMacro(MaximumError, const ArrayType);
00120 
00123   itkGetMacro(MaximumKernelWidth, int);
00124   itkSetMacro(MaximumKernelWidth, int);
00126 
00129   void SetOrder (const typename OrderArrayType::ValueType v)
00130     {
00131     m_Order.Fill(v);
00132     }
00133 
00134   void SetVariance (const typename ArrayType::ValueType v)
00135     {
00136     m_Variance.Fill(v);
00137     }
00138 
00139   void SetMaximumError (const typename ArrayType::ValueType v)
00140     {
00141     m_MaximumError.Fill(v);
00142     }
00143 
00144   void SetOrder (const unsigned int *v)
00145     {
00146     OrderArrayType dv;
00147     for (unsigned int i = 0; i < ImageDimension; i++)
00148       {
00149       dv[i] = v[i];
00150       }
00151     this->SetOrder(dv);
00152     }
00153 
00154   void SetVariance (const double *v)
00155     {
00156     ArrayType dv;
00157     for (unsigned int i = 0; i < ImageDimension; i++)
00158       {
00159       dv[i] = v[i];
00160       }
00161     this->SetVariance(dv);
00162     }
00163 
00164   void SetVariance (const float *v)
00165     {
00166     ArrayType dv;
00167     for (unsigned int i = 0; i < ImageDimension; i++)
00168       {
00169       dv[i] = v[i];
00170       }
00171     this->SetVariance(dv);
00172     }
00173 
00174   void SetMaximumError (const double *v)
00175     {
00176     ArrayType dv;
00177     for (unsigned int i = 0; i < ImageDimension; i++)
00178       {
00179       dv[i] = v[i];
00180       }
00181     this->SetMaximumError(dv);
00182     }
00183 
00184   void SetMaximumError (const float *v)
00185     {
00186     ArrayType dv;
00187     for (unsigned int i = 0; i < ImageDimension; i++)
00188       {
00189       dv[i] = v[i];
00190       }
00191     this->SetMaximumError(dv);
00192     }
00193 
00197   void SetUseImageSpacingOn() { this->SetUseImageSpacing(true); }
00198 
00201   void SetUseImageSpacingOff() { this->SetUseImageSpacing(false); }
00202 
00205   itkSetMacro(UseImageSpacing, bool);
00206   itkGetMacro(UseImageSpacing, bool);
00208 
00215   virtual void GenerateInputRequestedRegion() throw(InvalidRequestedRegionError);
00216 
00217 #ifdef ITK_USE_CONCEPT_CHECKING
00218 
00219   itkConceptMacro(OutputHasNumericTraitsCheck,
00220     (Concept::HasNumericTraits<OutputPixelType>));
00221 
00223 #endif
00224 
00225 protected:
00226 
00227   DiscreteGaussianDerivativeImageFilter()
00228     {
00229     m_Order.Fill(1);
00230     m_Variance.Fill(0.0);
00231     m_MaximumError.Fill(0.01);
00232     m_MaximumKernelWidth = 32;
00233     m_UseImageSpacing = true;
00234     }
00235   virtual ~DiscreteGaussianDerivativeImageFilter() {}
00236   void PrintSelf(std::ostream& os, Indent indent) const;
00237 
00243   void GenerateData();
00244 
00245 private:
00246 
00247   DiscreteGaussianDerivativeImageFilter(const Self&); //purposely not implemented
00248   void operator=(const Self&); //purposely not implemented
00249 
00251   OrderArrayType m_Order;
00252 
00254   ArrayType m_Variance;
00255 
00259   ArrayType m_MaximumError;
00260 
00263   int m_MaximumKernelWidth;
00264 
00266   bool m_UseImageSpacing;
00267 };
00268 
00269 } // end namespace itk
00270 
00271 #ifndef ITK_MANUAL_INSTANTIATION
00272 #include "itkDiscreteGaussianDerivativeImageFilter.txx"
00273 #endif
00274 
00275 #endif
00276 

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