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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 itkSigmoidImageFilter_h
#define itkSigmoidImageFilter_h
#include "itkUnaryFunctorImageFilter.h"
#include "itkMath.h"
namespace itk
{
/** \class SigmoidImageFilter
* \brief Computes the sigmoid function pixel-wise
*
* A linear transformation is applied first on the argument of
* the sigmoid function. The resulting total transform is given by
*
* \f[
* f(x) = (Max-Min) \cdot \frac{1}{\left(1+e^{- \frac{ x - \beta }{\alpha}}\right)} + Min
* \f]
*
* Every output pixel is equal to f(x). Where x is the intensity of the
* homologous input pixel, and alpha and beta are user-provided constants.
*
* \ingroup IntensityImageFilters MultiThreaded
*
* \ingroup ITKImageIntensity
*
* \wiki
* \wikiexample{ImageProcessing/SigmoidImageFilter,Pass image pixels through a sigmoid function}
* \endwiki
*/
namespace Functor
{
template< typename TInput, typename TOutput >
class Sigmoid
{
public:
Sigmoid()
{
m_Alpha = 1.0;
m_Beta = 0.0;
m_OutputMinimum = NumericTraits< TOutput >::min();
m_OutputMaximum = NumericTraits< TOutput >::max();
}
~Sigmoid() {}
bool operator!=(const Sigmoid & other) const
{
if ( Math::NotExactlyEquals(m_Alpha, other.m_Alpha)
|| Math::NotExactlyEquals(m_Beta, other.m_Beta)
|| Math::NotExactlyEquals(m_OutputMaximum, other.m_OutputMaximum)
|| Math::NotExactlyEquals(m_OutputMinimum, other.m_OutputMinimum) )
{
return true;
}
return false;
}
bool operator==(const Sigmoid & other) const
{
return !( *this != other );
}
inline TOutput operator()(const TInput & A) const
{
const double x = ( static_cast< double >( A ) - m_Beta ) / m_Alpha;
const double e = 1.0 / ( 1.0 + std::exp(-x) );
const double v =
( m_OutputMaximum - m_OutputMinimum ) * e + m_OutputMinimum;
return static_cast< TOutput >( v );
}
void SetAlpha(double alpha)
{
m_Alpha = alpha;
}
void SetBeta(double beta)
{
m_Beta = beta;
}
double GetAlpha() const
{
return m_Alpha;
}
double GetBeta() const
{
return m_Beta;
}
void SetOutputMinimum(TOutput min)
{
m_OutputMinimum = min;
}
void SetOutputMaximum(TOutput max)
{
m_OutputMaximum = max;
}
TOutput GetOutputMinimum() const
{
return m_OutputMinimum;
}
TOutput GetOutputMaximum() const
{
return m_OutputMaximum;
}
private:
double m_Alpha;
double m_Beta;
TOutput m_OutputMinimum;
TOutput m_OutputMaximum;
};
}
template< typename TInputImage, typename TOutputImage >
class SigmoidImageFilter:
public
UnaryFunctorImageFilter< TInputImage, TOutputImage,
Functor::Sigmoid<
typename TInputImage::PixelType,
typename TOutputImage::PixelType > >
{
public:
/** Standard class typedefs. */
typedef SigmoidImageFilter Self;
typedef UnaryFunctorImageFilter<
TInputImage, TOutputImage,
Functor::Sigmoid< typename TInputImage::PixelType,
typename TOutputImage::PixelType > > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
typedef typename TOutputImage::PixelType OutputPixelType;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Macro that provides the GetNameOfClass() method */
itkTypeMacro(SigmoidImageFilter, UnaryFunctorImageFilter);
void SetAlpha(double alpha)
{
if ( Math::ExactlyEquals(alpha, this->GetFunctor().GetAlpha()) )
{
return;
}
this->GetFunctor().SetAlpha(alpha);
this->Modified();
}
double GetAlpha() const
{
return this->GetFunctor().GetAlpha();
}
void SetBeta(double beta)
{
if ( Math::ExactlyEquals(beta, this->GetFunctor().GetBeta()) )
{
return;
}
this->GetFunctor().SetBeta(beta);
this->Modified();
}
double GetBeta() const
{
return this->GetFunctor().GetBeta();
}
void SetOutputMinimum(OutputPixelType min)
{
if ( Math::ExactlyEquals(min, this->GetFunctor().GetOutputMinimum()) )
{
return;
}
this->GetFunctor().SetOutputMinimum(min);
this->Modified();
}
OutputPixelType GetOutputMinimum() const
{
return this->GetFunctor().GetOutputMinimum();
}
void SetOutputMaximum(OutputPixelType max)
{
if ( Math::ExactlyEquals(max, this->GetFunctor().GetOutputMaximum()) )
{
return;
}
this->GetFunctor().SetOutputMaximum(max);
this->Modified();
}
OutputPixelType GetOutputMaximum() const
{
return this->GetFunctor().GetOutputMaximum();
}
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro( InputConvertibleToDoubleCheck,
( Concept::Convertible< typename TInputImage::PixelType, double > ) );
itkConceptMacro( OutputAdditiveOperatorsCheck,
( Concept::AdditiveOperators< OutputPixelType > ) );
itkConceptMacro( DoubleConvertibleToOutputCheck,
( Concept::Convertible< double, OutputPixelType > ) );
itkConceptMacro( OutputTimesDoubleCheck,
( Concept::MultiplyOperator< OutputPixelType, double > ) );
itkConceptMacro( OutputDoubleAdditiveOperatorsCheck,
( Concept::AdditiveOperators< OutputPixelType, OutputPixelType, double > ) );
// End concept checking
#endif
protected:
SigmoidImageFilter() {}
virtual ~SigmoidImageFilter() ITK_OVERRIDE {}
private:
ITK_DISALLOW_COPY_AND_ASSIGN(SigmoidImageFilter);
};
} // end namespace itk
#endif
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