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/*========================================================================= |
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Program: Insight Segmentation & Registration Toolkit |
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Module: $RCSfile: itkMaximumRatioDecisionRule.h.html,v $ |
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Language: C++ |
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Date: $Date: 2006/01/17 19:15:41 $ |
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Version: $Revision: 1.4 $ |
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Copyright (c) Insight Software Consortium. All rights reserved. |
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See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details. |
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This software is distributed WITHOUT ANY WARRANTY; without even |
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the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR |
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PURPOSE. See the above copyright notices for more information. |
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=========================================================================*/ |
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DEF |
#ifndef __MaximumRatioDecisionRule_h |
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DEF |
#define __MaximumRatioDecisionRule_h |
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#include "itkWin32Header.h" |
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#include <vector> |
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#include "vnl/vnl_matrix.h" |
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#include "itkNumericTraits.h" |
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#include "itkDecisionRuleBase.h" |
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namespace itk { |
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/** \class MaximumRatioDecisionRule |
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* \brief This rule returns \f$i\f$ if |
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* \f$\frac{f_{i}(\overrightarrow{x})}{f_{j}(\overrightarrow{x})} > |
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* \frac{K_{j}}{K_{i}}\f$ for all \f$j \not= i\f$, |
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* where the \f$i\f$ is the index of a class which has |
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* membership function \f$f_{i}\f$ and its prior value |
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* (usually, the a priori probability or the size of a class) is |
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* \f$K_{i}\f$ |
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* |
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* Users should set the a priori values before calling the Evaluate method. |
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* |
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* \sa MaximumDecisionRule, MinimumDecisionRule |
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*/ |
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class ITKCommon_EXPORT MaximumRatioDecisionRule : |
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IND |
****public DecisionRuleBase |
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{ |
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public: |
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/** Standard class typedefs */ |
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SEM |
typedef MaximumRatioDecisionRule Self ; |
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TDA |
typedef DecisionRuleBase Superclass; |
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TDA |
typedef SmartPointer<Self> Pointer; |
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/** Run-time type information (and related methods) */ |
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itkTypeMacro(MaximumRatioDecisionRule, DecisionRuleBase); |
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/** Standard New() method support */ |
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SEM |
itkNewMacro(Self) ; |
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typedef float APrioriValueType ; |
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TDA,SEM |
typedef std::vector< APrioriValueType > APrioriVectorType ; |
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/** Types for the arguments that are acceptable in the Evaluate() method */ |
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typedef Superclass::VectorType VectorType; |
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typedef Superclass::ArrayType ArrayType; |
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/** The return value of this function is a class label. |
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* Basically, using its internal logic based on the discriminant |
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* scores, this function decides best class label and return it. |
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*/ |
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virtual unsigned int Evaluate( const VectorType &discriminantScores) const; |
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/** The return value of this function is a class label. |
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* Basically, using its internal logic based on the discriminant |
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* scores, this function decides best class label and return it. |
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*/ |
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virtual unsigned int Evaluate( const ArrayType &discriminantScores) const; |
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/** Sets the a priori probabilities */ |
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void SetAPriori(APrioriVectorType& values) ; |
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protected: |
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MaximumRatioDecisionRule() ; |
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virtual ~MaximumRatioDecisionRule() {} |
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private: |
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/** Number of classes */ |
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unsigned int m_NumberOfClasses ; |
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/** a priori probability ratio matrix: internal use */ |
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vnl_matrix< double > m_APrioriRatioMatrix ; |
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} ; // end of class |
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} // end of namespace |
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#endif |
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EOF |
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EOF,EML |
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