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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 itkRobustAutomaticThresholdCalculator_hxx
#define itkRobustAutomaticThresholdCalculator_hxx
#include "itkRobustAutomaticThresholdCalculator.h"
#include "itkImageRegionConstIteratorWithIndex.h"
#include "itkImageRegionConstIterator.h"
/*
*
* This code was contributed in the Insight Journal paper:
* "Robust Automatic Threshold Selection"
* by Lehmann G.
* https://hdl.handle.net/1926/370
* http://www.insight-journal.org/browse/publication/134
*
*/
namespace itk
{
template< typename TInputImage, typename TGradientImage >
RobustAutomaticThresholdCalculator< TInputImage, TGradientImage >
::RobustAutomaticThresholdCalculator(void)
{
m_Valid = false;
m_Input = ITK_NULLPTR;
m_Gradient = ITK_NULLPTR;
m_Output = NumericTraits< InputPixelType >::ZeroValue();
m_Pow = 1;
}
template< typename TInputImage, typename TGradientImage >
void
RobustAutomaticThresholdCalculator< TInputImage, TGradientImage >
::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Input: " << m_Input.GetPointer() << std::endl;
os << indent << "Gradient: " << m_Gradient.GetPointer() << std::endl;
os << indent << "Valid: " << m_Valid << std::endl;
os << indent << "Pow: " << m_Pow << std::endl;
os << indent << "Output: " << m_Output << std::endl;
}
template< typename TInputImage, typename TGradientImage >
void
RobustAutomaticThresholdCalculator< TInputImage, TGradientImage >
::Compute()
{
if ( !m_Input || !m_Gradient )
{
return;
}
ImageRegionConstIteratorWithIndex< InputImageType > iIt( m_Input,
m_Input->GetRequestedRegion() );
iIt.GoToBegin();
ImageRegionConstIteratorWithIndex< GradientImageType > gIt( m_Gradient,
m_Gradient->GetRequestedRegion() );
gIt.GoToBegin();
// init the values
double n = 0;
double d = 0;
while ( !iIt.IsAtEnd() )
{
double g = std::pow(static_cast< double >( gIt.Get() ), m_Pow);
n += iIt.Get() * g;
d += g;
++iIt;
++gIt;
}
// std::cout << "n: " << n << " d: " << d << std::endl;
m_Output = static_cast< InputPixelType >( n / d );
m_Valid = true;
}
template< typename TInputImage, typename TGradientImage >
const typename RobustAutomaticThresholdCalculator< TInputImage, TGradientImage >::InputPixelType &
RobustAutomaticThresholdCalculator< TInputImage, TGradientImage >
::GetOutput() const
{
if ( !m_Valid )
{
itkExceptionMacro(<< "GetOutput() invoked, but the output have not been computed. Call Compute() first.");
}
return m_Output;
}
} // end namespace itk
#endif
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