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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkDecisionRuleTest.cxx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif
#include "itkDecisionRule.h"
#include "itkObjectFactory.h"
namespace itk {
namespace Statistics {
namespace DecisionRuleTest {
class MyDecisionRule : public DecisionRule
{
public:
/** Standard class typedef. */
typedef MyDecisionRule Self;
typedef DecisionRule Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Standard macros */
itkTypeMacro(MyDecisionRule, DecisionRule);
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Evaluate membership score */
unsigned int Evaluate(const MembershipVectorType &scoreVector) const
{
double max = scoreVector[0];
unsigned int maxIndex = 0;
unsigned int i;
for (i = 1; i < scoreVector.size(); i++)
{
if (scoreVector[i] > max)
{
max = scoreVector[i];
maxIndex = i;
}
}
return maxIndex;
}
};
}
}
}
int itkDecisionRuleTest(int, char* [] )
{
typedef itk::Statistics::DecisionRuleTest::MyDecisionRule DecisionRuleType;
typedef DecisionRuleType::MembershipVectorType MembershipVectorType;
DecisionRuleType::Pointer decisionRule = DecisionRuleType::New();
std::cout << decisionRule->GetNameOfClass() << std::endl;
std::cout << decisionRule->DecisionRuleType::Superclass::GetNameOfClass() << std::endl;
decisionRule->Print(std::cout);
MembershipVectorType membershipScoreVector;
double membershipScore1;
membershipScore1 = 0.1;
membershipScoreVector.push_back( membershipScore1 );
double membershipScore2;
membershipScore2 = 0.5;
membershipScoreVector.push_back( membershipScore2 );
double membershipScore3;
membershipScore3 = 1.9;
membershipScoreVector.push_back( membershipScore3 );
// the maximum score is the third component. The decision rule should
// return index ( 2)
if( decisionRule->Evaluate( membershipScoreVector ) != 2 )
{
std::cerr << "Decision rule computation is incorrect!" << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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