SimpleITK  1.3.0.dev466
sitkMultiLabelSTAPLEImageFilter.h
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18 #ifndef sitkMultiLabelSTAPLEImageFilter_h
19 #define sitkMultiLabelSTAPLEImageFilter_h
20 
21 /*
22  * WARNING: DO NOT EDIT THIS FILE!
23  * THIS FILE IS AUTOMATICALLY GENERATED BY THE SIMPLEITK BUILD PROCESS.
24  * Please look at sitkMultiInputImageFilterTemplate.h.in to make changes.
25  */
26 
27 #include <memory>
28 
29 #include "sitkBasicFilters.h"
30 #include "sitkImageFilter.h"
31 
32 namespace itk {
33  namespace simple {
34 
77  : public ImageFilter<3>
78  {
79  public:
81 
83  virtual ~MultiLabelSTAPLEImageFilter();
84 
85 
89 
92 
93 
94 
95 
99  SITK_RETURN_SELF_TYPE_HEADER SetLabelForUndecidedPixels ( uint64_t LabelForUndecidedPixels ) { this->m_LabelForUndecidedPixels = LabelForUndecidedPixels; return *this; }
100 
106  uint64_t GetLabelForUndecidedPixels() const { return this->m_LabelForUndecidedPixels; }
107 
111  SITK_RETURN_SELF_TYPE_HEADER SetTerminationUpdateThreshold ( float TerminationUpdateThreshold ) { this->m_TerminationUpdateThreshold = TerminationUpdateThreshold; return *this; }
112 
116  float GetTerminationUpdateThreshold() const { return this->m_TerminationUpdateThreshold; }
117 
121  SITK_RETURN_SELF_TYPE_HEADER SetMaximumNumberOfIterations ( unsigned int MaximumNumberOfIterations ) { this->m_MaximumNumberOfIterations = MaximumNumberOfIterations; return *this; }
122 
126  unsigned int GetMaximumNumberOfIterations() const { return this->m_MaximumNumberOfIterations; }
127 
133  SITK_RETURN_SELF_TYPE_HEADER SetPriorProbabilities ( std::vector<float> PriorProbabilities ) { this->m_PriorProbabilities = PriorProbabilities; return *this; }
134 
140  std::vector<float> GetPriorProbabilities() const { return this->m_PriorProbabilities; }
148  std::vector<float> GetConfusionMatrix(unsigned int input) const { return this->m_pfGetConfusionMatrix(input); };
149 
151  std::string GetName() const { return std::string ("MultiLabelSTAPLEImageFilter"); }
152 
154  std::string ToString() const;
155 
157  Image Execute ( const std::vector<Image> &images);
158  Image Execute ( const Image& image1 );
159  Image Execute ( const Image& image1, const Image& image2 );
160  Image Execute ( const Image& image1, const Image& image2, const Image& image3 );
161  Image Execute ( const Image& image1, const Image& image2, const Image& image3, const Image& image4 );
162  Image Execute ( const Image& image1, const Image& image2, const Image& image3, const Image& image4, const Image& image5 );
163 
164 
165 
167  Image Execute ( const std::vector<Image> &images, uint64_t labelForUndecidedPixels, float terminationUpdateThreshold, unsigned int maximumNumberOfIterations, std::vector<float> priorProbabilities );
168  Image Execute ( const Image& image1, uint64_t labelForUndecidedPixels, float terminationUpdateThreshold, unsigned int maximumNumberOfIterations, std::vector<float> priorProbabilities );
169  Image Execute ( const Image& image1, const Image& image2, uint64_t labelForUndecidedPixels, float terminationUpdateThreshold, unsigned int maximumNumberOfIterations, std::vector<float> priorProbabilities );
170  Image Execute ( const Image& image1, const Image& image2, const Image& image3, uint64_t labelForUndecidedPixels, float terminationUpdateThreshold, unsigned int maximumNumberOfIterations, std::vector<float> priorProbabilities );
171  Image Execute ( const Image& image1, const Image& image2, const Image& image3, const Image& image4, uint64_t labelForUndecidedPixels, float terminationUpdateThreshold, unsigned int maximumNumberOfIterations, std::vector<float> priorProbabilities );
172  Image Execute ( const Image& image1, const Image& image2, const Image& image3, const Image& image4, const Image& image5, uint64_t labelForUndecidedPixels, float terminationUpdateThreshold, unsigned int maximumNumberOfIterations, std::vector<float> priorProbabilities );
173 
174 
175 
176 
177  private:
178 
181  typedef Image (Self::*MemberFunctionType)( const std::vector<Image> & );
182  template <class TImageType> Image ExecuteInternal ( const std::vector<Image> &images );
183 
184 
185 
186  friend struct detail::MemberFunctionAddressor<MemberFunctionType>;
187 
188  nsstd::auto_ptr<detail::MemberFunctionFactory<MemberFunctionType> > m_MemberFactory;
189 
190 
194  std::vector<float> m_PriorProbabilities;
195 
196  nsstd::function<std::vector<float>(unsigned int)> m_pfGetConfusionMatrix;
197 
198  // Holder of process object for active measurements
200  };
201 
202 
212  SITKBasicFilters_EXPORT Image MultiLabelSTAPLE ( const std::vector<Image> &images , uint64_t labelForUndecidedPixels = std::numeric_limits<uint64_t>::max(), float terminationUpdateThreshold = 1e-5f, unsigned int maximumNumberOfIterations = std::numeric_limits<unsigned int>::max(), std::vector<float> priorProbabilities = std::vector<float>() );
213 
214  SITKBasicFilters_EXPORT Image MultiLabelSTAPLE ( const Image& image1, uint64_t labelForUndecidedPixels = std::numeric_limits<uint64_t>::max(), float terminationUpdateThreshold = 1e-5f, unsigned int maximumNumberOfIterations = std::numeric_limits<unsigned int>::max(), std::vector<float> priorProbabilities = std::vector<float>() );
215  SITKBasicFilters_EXPORT Image MultiLabelSTAPLE ( const Image& image1, const Image& image2, uint64_t labelForUndecidedPixels = std::numeric_limits<uint64_t>::max(), float terminationUpdateThreshold = 1e-5f, unsigned int maximumNumberOfIterations = std::numeric_limits<unsigned int>::max(), std::vector<float> priorProbabilities = std::vector<float>() );
216  SITKBasicFilters_EXPORT Image MultiLabelSTAPLE ( const Image& image1, const Image& image2, const Image& image3, uint64_t labelForUndecidedPixels = std::numeric_limits<uint64_t>::max(), float terminationUpdateThreshold = 1e-5f, unsigned int maximumNumberOfIterations = std::numeric_limits<unsigned int>::max(), std::vector<float> priorProbabilities = std::vector<float>() );
217  SITKBasicFilters_EXPORT Image MultiLabelSTAPLE ( const Image& image1, const Image& image2, const Image& image3, const Image& image4, uint64_t labelForUndecidedPixels = std::numeric_limits<uint64_t>::max(), float terminationUpdateThreshold = 1e-5f, unsigned int maximumNumberOfIterations = std::numeric_limits<unsigned int>::max(), std::vector<float> priorProbabilities = std::vector<float>() );
218  SITKBasicFilters_EXPORT Image MultiLabelSTAPLE ( const Image& image1, const Image& image2, const Image& image3, const Image& image4, const Image& image5, uint64_t labelForUndecidedPixels = std::numeric_limits<uint64_t>::max(), float terminationUpdateThreshold = 1e-5f, unsigned int maximumNumberOfIterations = std::numeric_limits<unsigned int>::max(), std::vector<float> priorProbabilities = std::vector<float>() );
219 
222 }
223 }
224 #endif
typelist::MakeTypeList< BasicPixelID< uint8_t >, BasicPixelID< uint16_t >, BasicPixelID< uint32_t > >::Type UnsignedIntegerPixelIDTypeList
#define SITKBasicFilters_EXPORT
Image MultiLabelSTAPLE(const std::vector< Image > &images, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max(), float terminationUpdateThreshold=1e-5f, unsigned int maximumNumberOfIterations=std::numeric_limits< unsigned int >::max(), std::vector< float > priorProbabilities=std::vector< float >())
This filter performs a pixelwise combination of an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image).
Self & SetLabelForUndecidedPixels(uint64_t LabelForUndecidedPixels)
Self & SetPriorProbabilities(std::vector< float > PriorProbabilities)
The Image class for SimpleITK.
Definition: sitkImage.h:78
nsstd::auto_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
Self & SetTerminationUpdateThreshold(float TerminationUpdateThreshold)
Self & SetMaximumNumberOfIterations(unsigned int MaximumNumberOfIterations)
This filter performs a pixelwise combination of an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image).
::uint64_t uint64_t
The base interface for SimpleITK filters that take one input image.
std::vector< float > GetConfusionMatrix(unsigned int input) const