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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkShapePriorSegmentationLevelSetImageFilter.txx,v $
Language: C++
Date: $Date: 2004-12-21 22:47:29 $
Version: $Revision: 1.4 $
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 __itkShapePriorSegmentationLevelSetImageFilter_txx_
#define __itkShapePriorSegmentationLevelSetImageFilter_txx_
#include "itkShapePriorSegmentationLevelSetImageFilter.h"
namespace itk {
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
void
ShapePriorSegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::PrintSelf(std::ostream &os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "ShapeFunction: " << m_ShapeFunction.GetPointer() << std::endl;
os << indent << "Optimizer: " << m_Optimizer.GetPointer() << std::endl;
os << indent << "CostFunction: " << m_CostFunction.GetPointer() << std::endl;
os << indent << "InitialParameters: " << m_InitialParameters << std::endl;
os << indent << "CurrentParameters: " << m_CurrentParameters << std::endl;
os << indent << "ShapePriorSegmentationFunction: " << m_ShapePriorSegmentationFunction << std::endl;
}
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
ShapePriorSegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::ShapePriorSegmentationLevelSetImageFilter()
{
m_ShapeFunction = NULL;
m_Optimizer = NULL;
m_CostFunction = NULL;
m_ShapePriorSegmentationFunction = NULL;
}
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
void
ShapePriorSegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::SetShapePriorSegmentationFunction(ShapePriorSegmentationFunctionType *s)
{
if ( s != m_ShapePriorSegmentationFunction )
{
m_ShapePriorSegmentationFunction = s;
this->SetSegmentationFunction( s );
this->Modified();
}
}
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
void
ShapePriorSegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::SetShapeFunction(ShapeFunctionType *s)
{
if ( s != m_ShapeFunction )
{
m_ShapeFunction = s;
this->Modified();
}
}
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
void
ShapePriorSegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::InitializeIteration()
{
if ( this->GetShapePriorScaling() != 0.0 )
{
/**
* Estimate the shape and pose parameters.
*/
// Get the nodes of the active region and plug it into the cost function
NodeContainerPointer nodes = NodeContainerType::New();
this->ExtractActiveRegion( nodes );
// Setup the cost function
m_CostFunction->SetShapeFunction( m_ShapeFunction );
m_Optimizer->SetCostFunction( m_CostFunction );
m_CostFunction->SetActiveRegion( nodes );
m_CostFunction->SetFeatureImage( this->GetFeatureImage() );
m_CostFunction->Initialize();
// Setup and start the optimization
m_Optimizer->SetInitialPosition( m_CurrentParameters );
m_Optimizer->StartOptimization();
m_CurrentParameters = m_Optimizer->GetCurrentPosition();
m_ShapeFunction->SetParameters( m_CurrentParameters );
}
Superclass::InitializeIteration();
}
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
void
ShapePriorSegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::GenerateData()
{
if ( !m_ShapeFunction )
{
itkExceptionMacro( << "ShapeFunction is not present");
}
m_ShapeFunction->Initialize();
// Set up the level set evolution components
m_ShapePriorSegmentationFunction->SetShapeFunction( m_ShapeFunction );
// Check if cost function and optimizers are present
if ( !m_CostFunction )
{
itkExceptionMacro( << "CostFunction is not present" );
}
if ( !m_Optimizer )
{
itkExceptionMacro( << "Optimizer is not present" );
}
if( m_InitialParameters.Size() != m_ShapeFunction->GetNumberOfParameters() )
{
itkExceptionMacro( <<
"InitialParameters size does not match " <<
"the number of parameters required by ShapeFunction" );
}
m_CurrentParameters = m_InitialParameters;
// Start the solver
Superclass::GenerateData();
}
/**
* Populate a NodeContainer with nodes at each layer of the sparse field.
*/
template <class TInputImage, class TFeatureImage, class TOutputPixelType>
void
ShapePriorSegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>
::ExtractActiveRegion( NodeContainerType * ptr )
{
// clear the container
ptr->Initialize();
const typename Superclass::FiniteDifferenceFunctionType::Pointer df
= this->GetDifferenceFunction();
typename Superclass::LayerType::ConstIterator layerIt;
NeighborhoodIterator<OutputImageType> outputIt(df->GetRadius(),
this->GetOutput(), this->GetOutput()->GetRequestedRegion());
unsigned int counter = 0;
for ( unsigned int k = 0; k < this->GetNumberOfLayers(); k++ )
{
for (layerIt = this->m_Layers[k]->Begin(); layerIt != this->m_Layers[k]->End(); ++layerIt)
{
NodeType node;
outputIt.SetLocation(layerIt->m_Value);
node.SetIndex( outputIt.GetIndex() );
node.SetValue( outputIt.GetCenterPixel() );
ptr->InsertElement( counter++, node );
}
}
}
} // end namespace itk
#endif
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