ITK
4.1.0
Insight Segmentation and Registration Toolkit
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00001 /*========================================================================= 00002 * 00003 * Copyright Insight Software Consortium 00004 * 00005 * Licensed under the Apache License, Version 2.0 (the "License"); 00006 * you may not use this file except in compliance with the License. 00007 * You may obtain a copy of the License at 00008 * 00009 * http://www.apache.org/licenses/LICENSE-2.0.txt 00010 * 00011 * Unless required by applicable law or agreed to in writing, software 00012 * distributed under the License is distributed on an "AS IS" BASIS, 00013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 00014 * See the License for the specific language governing permissions and 00015 * limitations under the License. 00016 * 00017 *=========================================================================*/ 00018 #ifndef __itkCannyEdgeDetectionImageFilter_h 00019 #define __itkCannyEdgeDetectionImageFilter_h 00020 00021 #include "itkConstNeighborhoodIterator.h" 00022 #include "itkDiscreteGaussianImageFilter.h" 00023 #include "itkMultiplyImageFilter.h" 00024 #include "itkMultiThreader.h" 00025 #include "itkDerivativeOperator.h" 00026 #include "itkSparseFieldLayer.h" 00027 #include "itkObjectStore.h" 00028 00029 namespace itk 00030 { 00031 template< class TValueType > 00032 class ListNode 00033 { 00034 public: 00035 TValueType m_Value; 00036 00037 ListNode *Next; 00038 ListNode *Previous; 00039 }; 00040 00083 template< class TInputImage, class TOutputImage > 00084 class ITK_EXPORT CannyEdgeDetectionImageFilter: 00085 public ImageToImageFilter< TInputImage, TOutputImage > 00086 { 00087 public: 00089 typedef CannyEdgeDetectionImageFilter Self; 00090 typedef ImageToImageFilter< TInputImage, TOutputImage > Superclass; 00091 00093 typedef TInputImage InputImageType; 00094 typedef TOutputImage OutputImageType; 00095 00097 typedef SmartPointer< Self > Pointer; 00098 typedef SmartPointer< const Self > ConstPointer; 00099 00101 typedef typename TInputImage::PixelType InputImagePixelType; 00102 typedef typename TOutputImage::PixelType OutputImagePixelType; 00103 typedef typename TInputImage::IndexType IndexType; 00104 typedef typename TInputImage::SizeValueType SizeValueType; 00105 00108 typedef ZeroFluxNeumannBoundaryCondition< OutputImageType > 00109 DefaultBoundaryConditionType; 00110 00114 typedef ConstNeighborhoodIterator< OutputImageType, 00115 DefaultBoundaryConditionType > NeighborhoodType; 00116 00117 typedef ListNode< IndexType > ListNodeType; 00118 typedef ObjectStore< ListNodeType > ListNodeStorageType; 00119 typedef SparseFieldLayer< ListNodeType > ListType; 00120 typedef typename ListType::Pointer ListPointerType; 00121 00123 itkNewMacro(Self); 00124 00126 typedef typename TOutputImage::RegionType OutputImageRegionType; 00127 typedef typename TInputImage::RegionType InputImageRegionType; 00128 00130 itkTypeMacro(CannyEdgeDetectionImageFilter, ImageToImageFilter); 00131 00133 itkStaticConstMacro(ImageDimension, unsigned int, 00134 TInputImage::ImageDimension); 00135 itkStaticConstMacro(OutputImageDimension, unsigned int, 00136 TOutputImage::ImageDimension); 00138 00140 typedef FixedArray< double, itkGetStaticConstMacro(ImageDimension) > ArrayType; 00141 00143 itkSetMacro(Variance, ArrayType); 00144 itkGetConstMacro(Variance, const ArrayType); 00145 itkSetMacro(MaximumError, ArrayType); 00146 itkGetConstMacro(MaximumError, const ArrayType); 00148 00151 void SetVariance(const typename ArrayType::ValueType v) 00152 { 00153 for ( unsigned int i = 0; i < TInputImage::ImageDimension; i++ ) 00154 { 00155 if ( m_Variance[i] != v ) 00156 { 00157 m_Variance.Fill(v); 00158 this->Modified(); 00159 break; 00160 } 00161 } 00162 } 00164 00167 void SetMaximumError(const typename ArrayType::ValueType v) 00168 { 00169 for ( unsigned int i = 0; i < TInputImage::ImageDimension; i++ ) 00170 { 00171 if ( m_MaximumError[i] != v ) 00172 { 00173 m_MaximumError.Fill(v); 00174 this->Modified(); 00175 break; 00176 } 00177 } 00178 } 00180 00190 00191 itkSetMacro(UpperThreshold, OutputImagePixelType); 00192 itkGetConstMacro(UpperThreshold, OutputImagePixelType); 00193 00194 itkSetMacro(LowerThreshold, OutputImagePixelType); 00195 itkGetConstMacro(LowerThreshold, OutputImagePixelType); 00196 00197 OutputImageType * GetNonMaximumSuppressionImage() 00198 { 00199 return this->m_MultiplyImageFilter->GetOutput(); 00200 } 00201 00209 virtual void GenerateInputRequestedRegion() 00210 throw( InvalidRequestedRegionError ); 00211 00212 #ifdef ITK_USE_CONCEPT_CHECKING 00213 00214 itkConceptMacro( InputHasNumericTraitsCheck, 00215 ( Concept::HasNumericTraits< InputImagePixelType > ) ); 00216 itkConceptMacro( OutputHasNumericTraitsCheck, 00217 ( Concept::HasNumericTraits< OutputImagePixelType > ) ); 00218 itkConceptMacro( SameDimensionCheck, 00219 ( Concept::SameDimension< ImageDimension, OutputImageDimension > ) ); 00220 itkConceptMacro( InputIsFloatingPointCheck, 00221 ( Concept::IsFloatingPoint< InputImagePixelType > ) ); 00222 itkConceptMacro( OutputIsFloatingPointCheck, 00223 ( Concept::IsFloatingPoint< OutputImagePixelType > ) ); 00224 00226 #endif 00227 protected: 00228 CannyEdgeDetectionImageFilter(); 00229 void PrintSelf(std::ostream & os, Indent indent) const; 00231 00232 void GenerateData(); 00233 00234 typedef DiscreteGaussianImageFilter< InputImageType, OutputImageType > 00235 GaussianImageFilterType; 00236 typedef MultiplyImageFilter< OutputImageType, 00237 OutputImageType, OutputImageType > MultiplyImageFilterType; 00238 private: 00239 CannyEdgeDetectionImageFilter(const Self &); //purposely not implemented 00240 void operator=(const Self &); //purposely not implemented 00241 00242 virtual ~CannyEdgeDetectionImageFilter(){} 00243 00245 struct CannyThreadStruct 00246 { 00247 CannyEdgeDetectionImageFilter *Filter; 00248 }; 00249 00251 void AllocateUpdateBuffer(); 00252 00254 void HysteresisThresholding(); 00255 00257 void FollowEdge(IndexType index); 00258 00262 void Compute2ndDerivative(); 00263 00272 // virtual 00273 // int SplitUpdateContainer(int i, int num, ThreadRegionType& splitRegion); 00274 00280 void ThreadedCompute2ndDerivative(const OutputImageRegionType & 00281 outputRegionForThread, ThreadIdType threadId); 00282 00286 static ITK_THREAD_RETURN_TYPE 00287 Compute2ndDerivativeThreaderCallback(void *arg); 00288 00292 OutputImagePixelType ComputeCannyEdge(const NeighborhoodType & it, 00293 void *globalData); 00294 00299 void Compute2ndDerivativePos(); 00300 00306 void ThreadedCompute2ndDerivativePos(const OutputImageRegionType & 00307 outputRegionForThread, ThreadIdType threadId); 00308 00312 static ITK_THREAD_RETURN_TYPE 00313 Compute2ndDerivativePosThreaderCallback(void *arg); 00314 00316 ArrayType m_Variance; 00317 00320 ArrayType m_MaximumError; 00321 00323 OutputImagePixelType m_UpperThreshold; //should be float here? 00324 00326 OutputImagePixelType m_LowerThreshold; //should be float here? 00327 00329 typename OutputImageType::Pointer m_UpdateBuffer1; 00330 00332 typename GaussianImageFilterType::Pointer m_GaussianFilter; 00333 00336 typename MultiplyImageFilterType::Pointer m_MultiplyImageFilter; 00337 00340 DerivativeOperator< OutputImagePixelType, itkGetStaticConstMacro(ImageDimension) > 00341 m_ComputeCannyEdge1stDerivativeOper; 00342 DerivativeOperator< OutputImagePixelType, itkGetStaticConstMacro(ImageDimension) > 00343 m_ComputeCannyEdge2ndDerivativeOper; 00345 00346 std::slice m_ComputeCannyEdgeSlice[ImageDimension]; 00347 00348 SizeValueType m_Stride[ImageDimension]; 00349 SizeValueType m_Center; 00350 00351 typename ListNodeStorageType::Pointer m_NodeStore; 00352 ListPointerType m_NodeList; 00353 }; 00354 } //end of namespace itk 00355 00356 #ifndef ITK_MANUAL_INSTANTIATION 00357 #include "itkCannyEdgeDetectionImageFilter.hxx" 00358 #endif 00359 00360 #endif 00361