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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkKappaSigmaThresholdImageFilter_hxx
#define itkKappaSigmaThresholdImageFilter_hxx
#include "itkKappaSigmaThresholdImageFilter.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkProgressAccumulator.h"
namespace itk
{
template< typename TInputImage, typename TMaskImage, typename TOutputImage >
KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >
::KappaSigmaThresholdImageFilter() :
m_MaskValue( NumericTraits<MaskPixelType>::max() ),
m_SigmaFactor( 2 ),
m_NumberOfIterations( 2 ),
m_Threshold( NumericTraits<InputPixelType>::ZeroValue() ),
m_InsideValue( NumericTraits<OutputPixelType>::max() ),
m_OutsideValue( NumericTraits<OutputPixelType>::ZeroValue() )
{
}
template< typename TInputImage, typename TMaskImage, typename 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< typename TInputImage, typename TMaskImage, typename TOutputImage >
void
KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >
::GenerateInputRequestedRegion()
{
const_cast< TInputImage * >( this->GetInput() )->SetRequestedRegionToLargestPossibleRegion();
}
template< typename TInputImage, typename TMaskImage, typename 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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