ITK  4.6.0
Insight Segmentation and Registration Toolkit
itkBayesianClassifierInitializationImageFilter.h
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18 #ifndef __itkBayesianClassifierInitializationImageFilter_h
19 #define __itkBayesianClassifierInitializationImageFilter_h
20 
21 #include "itkVectorImage.h"
22 #include "itkVectorContainer.h"
23 #include "itkImageToImageFilter.h"
24 #include "itkImageRegionIterator.h"
26 
27 namespace itk
28 {
75 template< typename TInputImage, typename TProbabilityPrecisionType = float >
77  public
78  ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,
79  TInputImage::ImageDimension > >
80 {
81 public:
84  typedef TInputImage InputImageType;
85  typedef TProbabilityPrecisionType ProbabilityPrecisionType;
86 
88  itkStaticConstMacro(Dimension, unsigned int,
89  InputImageType ::ImageDimension);
90 
92  itkGetStaticConstMacro(Dimension) > OutputImageType;
96 
98  itkNewMacro(Self);
99 
102 
105 
107  typedef typename InputImageType::PixelType InputPixelType;
109 
114  itkGetStaticConstMacro(Dimension) > MembershipImageType;
118 
121 
125 
127  typedef VectorContainer< unsigned int,
131 
138  *densityFunctionContainer);
139  itkGetModifiableObjectMacro(MembershipFunctionContainer, MembershipFunctionContainerType);
141 
143  itkSetMacro(NumberOfClasses, unsigned int);
144  itkGetConstMacro(NumberOfClasses, unsigned int);
146 
147  virtual void GenerateOutputInformation();
148 
149 #ifdef ITK_USE_CONCEPT_CHECKING
150  // Begin concept checking
151  itkConceptMacro( InputMultiplyOperatorCheck,
153  itkConceptMacro( DoubleConvertibleToProbabilityCheck,
155  itkConceptMacro( InputHasNumericTraitsCheck,
157  itkConceptMacro( ProbabilityHasNumericTraitsCheck,
159  itkConceptMacro( DoublePlusInputCheck,
161  // End concept checking
162 #endif
163 
164 protected:
167  void PrintSelf(std::ostream & os, Indent indent) const;
168 
174  virtual void InitializeMembershipFunctions();
175 
178  virtual void GenerateData();
179 
180 private:
181  BayesianClassifierInitializationImageFilter(const Self &); //purposely not
182  // implemented
183  void operator=(const Self &); //purposely not
184  // implemented
185 
187  unsigned int m_NumberOfClasses;
188 
190 };
191 } // end namespace itk
192 
193 #ifndef ITK_MANUAL_INSTANTIATION
194 #include "itkBayesianClassifierInitializationImageFilter.hxx"
195 #endif
196 
197 #endif
ImageToImageFilter< InputImageType, OutputImageType > Superclass
Light weight base class for most itk classes.
This filter is intended to be used as a helper class to initialize the BayesianClassifierImageFilter...
Statistics::MembershipFunctionBase< MeasurementVectorType > MembershipFunctionType
Templated n-dimensional vector image class.
void PrintSelf(std::ostream &os, Indent indent) const
Represents an array whose length can be defined at run-time.
A templated class holding a n-Dimensional vector.
Definition: itkVector.h:62
A multi-dimensional iterator templated over image type that walks a region of pixels.
MembershipFunctionBase defines common interfaces for membership functions.
VectorContainer< unsigned int, MembershipFunctionPointer > MembershipFunctionContainerType
Base class for filters that take an image as input and produce an image as output.
Define a front-end to the STL &quot;vector&quot; container that conforms to the IndexedContainerInterface.
Control indentation during Print() invocation.
Definition: itkIndent.h:49
VectorImage< ProbabilityPrecisionType, itkGetStaticConstMacro(Dimension) > MembershipImageType
#define itkConceptMacro(name, concept)
VectorImage< ProbabilityPrecisionType, itkGetStaticConstMacro(Dimension) > OutputImageType
virtual void SetMembershipFunctions(MembershipFunctionContainerType *densityFunctionContainer)
A multi-dimensional iterator templated over image type that walks a region of pixels.