1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMultipleValuedNonLinearVnlOptimizer.cxx,v $
Language: C++
Date: $Date: 2007-03-22 21:39:37 $
Version: $Revision: 1.13 $
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.
=========================================================================*/
#ifndef _itkMultipleValuedNonLinearVnlOptimizer_txx
#define _itkMultipleValuedNonLinearVnlOptimizer_txx
#include "itkMultipleValuedNonLinearVnlOptimizer.h"
namespace itk
{
/**
* Constructor
*/
MultipleValuedNonLinearVnlOptimizer
::MultipleValuedNonLinearVnlOptimizer()
{
m_CostFunctionAdaptor = 0;
m_UseGradient = true;
m_Command = CommandType::New();
m_Command->SetCallbackFunction( this,
&MultipleValuedNonLinearVnlOptimizer::IterationReport );
m_CachedValue.Fill(0);
m_CachedCurrentPosition.Fill(0);
m_CachedDerivative.Fill(0);
}
/**
* Destructor
*/
MultipleValuedNonLinearVnlOptimizer
::~MultipleValuedNonLinearVnlOptimizer()
{
if( m_CostFunctionAdaptor )
{
delete m_CostFunctionAdaptor;
m_CostFunctionAdaptor = 0;
}
}
void
MultipleValuedNonLinearVnlOptimizer
::SetCostFunctionAdaptor( CostFunctionAdaptorType * adaptor )
{
if( m_CostFunctionAdaptor == adaptor )
{
return;
}
if( m_CostFunctionAdaptor )
{
delete m_CostFunctionAdaptor;
}
m_CostFunctionAdaptor = adaptor;
this->SetUseCostFunctionGradient(m_UseGradient);
m_CostFunctionAdaptor->AddObserver( IterationEvent(), m_Command );
}
const MultipleValuedNonLinearVnlOptimizer::CostFunctionAdaptorType *
MultipleValuedNonLinearVnlOptimizer
::GetCostFunctionAdaptor( void ) const
{
return m_CostFunctionAdaptor;
}
MultipleValuedNonLinearVnlOptimizer::CostFunctionAdaptorType *
MultipleValuedNonLinearVnlOptimizer
::GetCostFunctionAdaptor( void )
{
return m_CostFunctionAdaptor;
}
/** The purpose of this method is to get around the lack of const
* correctness in vnl cost_functions and optimizers */
MultipleValuedNonLinearVnlOptimizer::CostFunctionAdaptorType *
MultipleValuedNonLinearVnlOptimizer
::GetNonConstCostFunctionAdaptor( void ) const
{
return m_CostFunctionAdaptor;
}
void
MultipleValuedNonLinearVnlOptimizer
::SetUseCostFunctionGradient( bool useGradient )
{
if( m_CostFunctionAdaptor )
{
m_CostFunctionAdaptor->SetUseGradient( useGradient );
}
else
{
m_UseGradient = useGradient;
}
}
bool
MultipleValuedNonLinearVnlOptimizer
::GetUseCostFunctionGradient() const
{
if( m_CostFunctionAdaptor )
{
return m_CostFunctionAdaptor->GetUseGradient();
}
else
{
return m_UseGradient;
}
}
/** The purpose of this method is to get around the lack of iteration reporting
* in VNL optimizers. By interfacing directly with the ITK cost function
* adaptor we are generating here Iteration Events. Note the iteration events
* here are produce PER EVALUATION of the metric, not per real iteration of the
* vnl optimizer. Optimizers that evaluate the metric multiple times at each
* iteration will generate a lot more of Iteration events here. */
void
MultipleValuedNonLinearVnlOptimizer
::IterationReport( const EventObject & event )
{
const CostFunctionAdaptorType * adaptor = this->GetCostFunctionAdaptor();
m_CachedValue = adaptor->GetCachedValue();
m_CachedDerivative = adaptor->GetCachedDerivative();
m_CachedCurrentPosition = adaptor->GetCachedCurrentParameters();
this->InvokeEvent( event );
}
/**
* PrintSelf
*/
void
MultipleValuedNonLinearVnlOptimizer
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf( os, indent );
os << indent << "Cached Value: " << m_CachedValue << std::endl;
os << indent << "Cached Derivative: " << m_CachedDerivative << std::endl;
os << indent << "Cached current positiion: "
<< m_CachedCurrentPosition << std::endl;
os << "Command observer " << m_Command.GetPointer() << std::endl;
os << "Cost Function adaptor" << m_CostFunctionAdaptor << std::endl;
}
} // end namespace itk
#endif
|