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00017 #ifndef __itkSegmentationLevelSetImageFilter_h
00018 #define __itkSegmentationLevelSetImageFilter_h
00019
00020 #include "itkSparseFieldLevelSetImageFilter.h"
00021 #include "itkSegmentationLevelSetFunction.h"
00022
00023 namespace itk {
00024
00139 template <class TInputImage,
00140 class TFeatureImage,
00141 class TOutputPixelType = float >
00142 class ITK_EXPORT SegmentationLevelSetImageFilter
00143 : public SparseFieldLevelSetImageFilter<TInputImage, Image<TOutputPixelType,
00144 ::itk::GetImageDimension<TInputImage>::ImageDimension> >
00145 {
00146 public:
00147
00150 typedef SegmentationLevelSetImageFilter Self;
00151
00154 itkStaticConstMacro(InputImageDimension, unsigned int, TInputImage::ImageDimension);
00155
00157 typedef Image<TOutputPixelType, itkGetStaticConstMacro(InputImageDimension)> OutputImageType;
00158
00160 typedef SparseFieldLevelSetImageFilter<TInputImage, OutputImageType>
00161 Superclass;
00162 typedef SmartPointer<Self> Pointer;
00163 typedef SmartPointer<const Self> ConstPointer;
00164
00166 typedef typename Superclass::ValueType ValueType;
00167 typedef typename Superclass::IndexType IndexType;
00168 typedef typename Superclass::TimeStepType TimeStepType;
00169 typedef typename Superclass::InputImageType InputImageType;
00170
00172 typedef TFeatureImage FeatureImageType;
00173
00175 typedef SegmentationLevelSetFunction<OutputImageType, FeatureImageType>
00176 SegmentationFunctionType;
00177
00179 typedef typename SegmentationFunctionType::VectorImageType VectorImageType;
00180 typedef typename SegmentationFunctionType::ImageType SpeedImageType;
00181
00183 itkTypeMacro(SegmentationLevelSetImageFilter, SparseFieldLevelSetImageFilter);
00184
00187 void SetMaximumIterations (unsigned int i)
00188 {
00189 itkWarningMacro("SetMaximumIterations is deprecated. Please use SetNumberOfIterations instead.");
00190 this->SetNumberOfIterations(i);
00191 }
00192 unsigned int GetMaximumIterations()
00193 {
00194 itkWarningMacro("GetMaximumIterations is deprecated. Please use GetNumberOfIterations instead.");
00195 return this->GetNumberOfIterations();
00196 }
00198
00201 virtual void SetFeatureImage(const FeatureImageType *f)
00202 {
00203 this->ProcessObject::SetNthInput( 1, const_cast< FeatureImageType * >(f) );
00204 m_SegmentationFunction->SetFeatureImage(f);
00205 }
00206 virtual FeatureImageType * GetFeatureImage()
00207 { return ( static_cast< FeatureImageType *>(this->ProcessObject::GetInput(1)) ); }
00209
00212 virtual void SetInitialImage(InputImageType *f)
00213 {
00214 this->SetInput(f);
00215 }
00216
00218 void SetInput2(const FeatureImageType *input)
00219 {
00220 this->SetFeatureImage( input );
00221 }
00222
00226 void SetSpeedImage( SpeedImageType *s )
00227 { m_SegmentationFunction->SetSpeedImage( s ); }
00228
00232 void SetAdvectionImage( VectorImageType *v)
00233 { m_SegmentationFunction->SetAdvectionImage( v ); }
00234
00237 virtual const SpeedImageType *GetSpeedImage() const
00238 { return m_SegmentationFunction->GetSpeedImage(); }
00239
00242 virtual const VectorImageType *GetAdvectionImage() const
00243 { return m_SegmentationFunction->GetAdvectionImage(); }
00244
00248 void SetUseNegativeFeaturesOn()
00249 {
00250 itkWarningMacro( << "SetUseNegativeFeaturesOn has been deprecated. Please use ReverseExpansionDirectionOn() instead" );
00251 this->ReverseExpansionDirectionOn();
00252 }
00253 void SetUseNegativeFeaturesOff()
00254 {
00255 itkWarningMacro( << "SetUseNegativeFeaturesOff has been deprecated. Please use ReverseExpansionDirectionOff() instead" );
00256 this->ReverseExpansionDirectionOff();
00257 }
00259
00262 void SetUseNegativeFeatures( bool u )
00263 {
00264 itkWarningMacro( << "SetUseNegativeFeatures has been deprecated. Please use SetReverseExpansionDirection instead" );
00265 if (u == true)
00266 {
00267 this->SetReverseExpansionDirection(false);
00268 }
00269 else
00270 {
00271 this->SetReverseExpansionDirection(true);
00272 }
00273 }
00274 bool GetUseNegativeFeatures() const
00275 {
00276 itkWarningMacro( << "GetUseNegativeFeatures has been deprecated. Please use GetReverseExpansionDirection() instead" );
00277 if ( m_ReverseExpansionDirection == false)
00278 {
00279 return true;
00280 }
00281 else
00282 {
00283 return false;
00284 }
00285 }
00287
00296 itkSetMacro(ReverseExpansionDirection, bool);
00297 itkGetConstMacro(ReverseExpansionDirection, bool);
00298 itkBooleanMacro(ReverseExpansionDirection);
00300
00306 itkSetMacro(AutoGenerateSpeedAdvection, bool);
00307 itkGetConstMacro(AutoGenerateSpeedAdvection, bool);
00308 itkBooleanMacro(AutoGenerateSpeedAdvection);
00310
00315 void SetFeatureScaling(ValueType v)
00316 {
00317 if (v != m_SegmentationFunction->GetPropagationWeight())
00318 {
00319 this->SetPropagationScaling(v);
00320 }
00321 if (v != m_SegmentationFunction->GetAdvectionWeight())
00322 {
00323 this->SetAdvectionScaling(v);
00324 }
00325 }
00327
00330 void SetPropagationScaling(ValueType v)
00331 {
00332 if (v != m_SegmentationFunction->GetPropagationWeight())
00333 {
00334 m_SegmentationFunction->SetPropagationWeight(v);
00335 this->Modified();
00336 }
00337 }
00338 ValueType GetPropagationScaling() const
00339 {
00340 return m_SegmentationFunction->GetPropagationWeight();
00341 }
00343
00346 void SetAdvectionScaling(ValueType v)
00347 {
00348 if (v != m_SegmentationFunction->GetAdvectionWeight())
00349 {
00350 m_SegmentationFunction->SetAdvectionWeight(v);
00351 this->Modified();
00352 }
00353 }
00354 ValueType GetAdvectionScaling() const
00355 {
00356 return m_SegmentationFunction->GetAdvectionWeight();
00357 }
00359
00364 void SetCurvatureScaling(ValueType v)
00365 {
00366 if (v != m_SegmentationFunction->GetCurvatureWeight())
00367 {
00368 m_SegmentationFunction->SetCurvatureWeight(v);
00369 this->Modified();
00370 }
00371 }
00372 ValueType GetCurvatureScaling() const
00373 {
00374 return m_SegmentationFunction->GetCurvatureWeight();
00375 }
00377
00379 void SetUseMinimalCurvature( bool b )
00380 {
00381 if ( m_SegmentationFunction->GetUseMinimalCurvature() != b)
00382 {
00383 m_SegmentationFunction->SetUseMinimalCurvature( b );
00384 this->Modified();
00385 }
00386 }
00387 bool GetUseMinimalCurvature() const
00388 {
00389 return m_SegmentationFunction->GetUseMinimalCurvature();
00390 }
00391 void UseMinimalCurvatureOn()
00392 {
00393 this->SetUseMinimalCurvature(true);
00394 }
00395 void UseMinimalCurvatureOff()
00396 {
00397 this->SetUseMinimalCurvature(false);
00398 }
00400
00401
00407 virtual void SetSegmentationFunction(SegmentationFunctionType *s)
00408 {
00409 m_SegmentationFunction = s;
00410
00411 typename SegmentationFunctionType::RadiusType r;
00412 r.Fill( 1 );
00413
00414 m_SegmentationFunction->Initialize(r);
00415 this->SetDifferenceFunction(m_SegmentationFunction);
00416 this->Modified();
00417 }
00418
00419 virtual SegmentationFunctionType *GetSegmentationFunction()
00420 { return m_SegmentationFunction; }
00421
00422
00427 void SetMaximumCurvatureTimeStep(double n)
00428 {
00429 if ( n != m_SegmentationFunction->GetMaximumCurvatureTimeStep() )
00430 {
00431 m_SegmentationFunction->SetMaximumCurvatureTimeStep(n);
00432 this->Modified();
00433 }
00434 }
00435 double GetMaximumCurvatureTimeStep() const
00436 {
00437 return m_SegmentationFunction->GetMaximumCurvatureTimeStep();
00438 }
00440
00445 void SetMaximumPropagationTimeStep(double n)
00446 {
00447 if (n != m_SegmentationFunction->GetMaximumPropagationTimeStep() )
00448 {
00449 m_SegmentationFunction->SetMaximumPropagationTimeStep(n);
00450 this->Modified();
00451 }
00452 }
00453 double GetMaximumPropagationTimeStep() const
00454 {
00455 return m_SegmentationFunction->GetMaximumPropagationTimeStep();
00456 }
00458
00462 void GenerateSpeedImage();
00463
00467 void GenerateAdvectionImage();
00468
00469 #ifdef ITK_USE_CONCEPT_CHECKING
00470
00471 itkConceptMacro(OutputHasNumericTraitsCheck,
00472 (Concept::HasNumericTraits<TOutputPixelType>));
00473
00475 #endif
00476
00477 protected:
00478 virtual ~SegmentationLevelSetImageFilter() {}
00479 SegmentationLevelSetImageFilter();
00480
00481 virtual void PrintSelf(std::ostream& os, Indent indent) const;
00482
00484 virtual void InitializeIteration()
00485 {
00486 Superclass::InitializeIteration();
00487
00488 this->SetProgress( (float) ((float)this->GetElapsedIterations()
00489 / (float)this->GetNumberOfIterations()) );
00490 }
00492
00495 void GenerateData();
00496
00499 bool m_ReverseExpansionDirection;
00500
00505 bool m_AutoGenerateSpeedAdvection;
00506
00507 private:
00508 SegmentationLevelSetImageFilter(const Self&);
00509 void operator=(const Self&);
00510
00511 SegmentationFunctionType *m_SegmentationFunction;
00512 };
00513
00514 }
00515
00516 #ifndef ITK_MANUAL_INSTANTIATION
00517 #include "itkSegmentationLevelSetImageFilter.txx"
00518 #endif
00519
00520 #endif
00521