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itkAntiAliasBinaryImageFilter.txx
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itkAntiAliasBinaryImageFilter.txx
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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkAntiAliasBinaryImageFilter.txx
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.
=========================================================================*/
#ifndef __itkAntiAliasBinaryImageFilter_txx
#define __itkAntiAliasBinaryImageFilter_txx
#include "itkAntiAliasBinaryImageFilter.h"
#include "itkMinimumMaximumImageCalculator.h"
namespace itk {
template <class TInputImage, class TOutputImage>
void
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "m_UpperBinaryValue = " << m_UpperBinaryValue << std::endl;
os << indent << "m_LowerBinaryValue = " << m_LowerBinaryValue << std::endl;
os << indent << "m_InputImage = " << m_InputImage << std::endl;
}
template <class TInputImage, class TOutputImage>
typename AntiAliasBinaryImageFilter<TInputImage, TOutputImage>::ValueType
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>
::CalculateUpdateValue(const IndexType &idx, const TimeStepType &dt,
const ValueType &value, const ValueType &change)
{
// This method introduces the constraint on the flow of the surface.
const BinaryValueType binary_val = m_InputImage->GetPixel( idx );
const ValueType new_value = value + dt * change;
if (binary_val == m_UpperBinaryValue)
{
return ( vnl_math_max(new_value, this->GetValueZero()) );
}
else
{
return ( vnl_math_min(new_value, this->GetValueZero()) );
}
}
template <class TInputImage, class TOutputImage>
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>
::AntiAliasBinaryImageFilter()
{
m_InputImage = NULL;
m_CurvatureFunction = CurvatureFunctionType::New();
this->SetDifferenceFunction(m_CurvatureFunction);
if (TInputImage::ImageDimension == 2)
{
this->SetNumberOfLayers(2);
}
else
{
if (TInputImage::ImageDimension == 3)
{
this->SetNumberOfLayers(3);
}
else
{
this->SetNumberOfLayers(TInputImage::ImageDimension);
}
}
this->SetMaximumRMSError(0.07);
m_UpperBinaryValue = NumericTraits<BinaryValueType>::One;
m_LowerBinaryValue = - NumericTraits<BinaryValueType>::One;
this->SetNumberOfIterations(1000);
}
template <class TInputImage, class TOutputImage>
void
AntiAliasBinaryImageFilter<TInputImage, TOutputImage>
::GenerateData()
{
this->InterpolateSurfaceLocationOff(); // no need for interpolation here
if (TInputImage::ImageDimension > 3 && this->GetNumberOfLayers() < 4)
{
itkWarningMacro("Only 3 layers are being used in the solver."
<< " You should consider using at least as many layers as dimensions of your input."
<< " This value can be set by calling SetNumberOfLayers(n) on this filter.");
}
m_InputImage = this->GetInput();
// Find the minimum and maximum of the input image and use these values to
// set m_UpperBinaryValue, m_LowerBinaryValue, and m_IsoSurfaceValue in the
// parent class.
typename itk::MinimumMaximumImageCalculator<InputImageType>::Pointer
minmax = itk::MinimumMaximumImageCalculator<InputImageType>::New();
minmax->SetImage( m_InputImage );
minmax->ComputeMinimum();
minmax->ComputeMaximum();
m_UpperBinaryValue = minmax->GetMaximum();
m_LowerBinaryValue = minmax->GetMinimum();
ValueType min = static_cast<ValueType>(minmax->GetMinimum());
ValueType max = static_cast<ValueType>(minmax->GetMaximum());
// IsoSurface value is halfway between minimum and maximum. In a binary
// image, this places the zero level sets correctly no matter what the binary
// values may be.
this->SetIsoSurfaceValue( max - ( (max - min)/2.0 ) );
// Start the solver.
Superclass::GenerateData();
}
} // end namespace itk
#endif