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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkKappaSigmaThresholdImageFilter.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 __itkKappaSigmaThresholdImageFilter_txx
#define __itkKappaSigmaThresholdImageFilter_txx
#include "itkKappaSigmaThresholdImageFilter.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkProgressAccumulator.h"
namespace itk {
template<class TInputImage, class TMaskImage, class TOutputImage>
KappaSigmaThresholdImageFilter<TInputImage, TMaskImage, TOutputImage>
::KappaSigmaThresholdImageFilter()
{
m_OutsideValue = NumericTraits<OutputPixelType>::Zero;
m_InsideValue = NumericTraits<OutputPixelType>::max();
m_Threshold = NumericTraits<InputPixelType>::Zero;
m_SigmaFactor = 2;
m_NumberOfIterations = 2;
m_MaskValue = NumericTraits<MaskPixelType>::max();
}
template<class TInputImage, class TMaskImage, class TOutputImage>
void
KappaSigmaThresholdImageFilter<TInputImage, TMaskImage, TOutputImage>
::GenerateData()
{
typename ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
// Compute the Threshold for the input image
typename CalculatorType::Pointer thresholdImageCalculator = CalculatorType::New();
thresholdImageCalculator->SetImage( this->GetInput() );
thresholdImageCalculator->SetMask( this->GetMaskImage() );
thresholdImageCalculator->SetMaskValue( m_MaskValue );
thresholdImageCalculator->SetSigmaFactor( m_SigmaFactor );
thresholdImageCalculator->SetNumberOfIterations( m_NumberOfIterations );
thresholdImageCalculator->Compute();
m_Threshold = thresholdImageCalculator->GetOutput();
typename BinaryThresholdImageFilter<TInputImage,TOutputImage>::Pointer threshold =
BinaryThresholdImageFilter<TInputImage,TOutputImage>::New();
progress->RegisterInternalFilter(threshold,.5f);
threshold->GraftOutput (this->GetOutput());
threshold->SetInput (this->GetInput());
threshold->SetLowerThreshold( m_Threshold );
threshold->SetInsideValue (m_InsideValue);
threshold->SetOutsideValue (m_OutsideValue);
threshold->Update();
this->GraftOutput(threshold->GetOutput());
}
template<class TInputImage, class TMaskImage, class TOutputImage>
void
KappaSigmaThresholdImageFilter<TInputImage, TMaskImage, TOutputImage>
::GenerateInputRequestedRegion()
{
const_cast<TInputImage *>(this->GetInput())->SetRequestedRegionToLargestPossibleRegion();
}
template<class TInputImage, class TMaskImage, class TOutputImage>
void
KappaSigmaThresholdImageFilter<TInputImage, TMaskImage, TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "Threshold: " << static_cast<typename NumericTraits<InputPixelType>::PrintType>(m_Threshold) << std::endl;
os << indent << "MaskValue: " << static_cast<typename NumericTraits<MaskPixelType>::PrintType>(m_MaskValue) << std::endl;
os << indent << "SigmaFactor: " << m_SigmaFactor << std::endl;
os << indent << "NumberOfIterations: " << this->m_NumberOfIterations << std::endl;
os << indent << "Inside value: " << static_cast<typename NumericTraits<OutputPixelType>::PrintType>(this->m_InsideValue) << std::endl;
os << indent << "Outside value: " << static_cast<typename NumericTraits<OutputPixelType>::PrintType>(this->m_OutsideValue) << std::endl;
}
}// end namespace itk
#endif
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