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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkThresholdLabelerImageFilter.h,v $
Language: C++
Date: $Date: 2006-04-03 15:07:52 $
Version: $Revision: 1.9 $
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 __itkThresholdLabelerImageFilter_h
#define __itkThresholdLabelerImageFilter_h
#include "itkUnaryFunctorImageFilter.h"
#include "itkConceptChecking.h"
#include "itkNumericTraits.h"
namespace itk
{
/** \class ThresholdLabelerImageFilter
*
* \brief Label an input image according to a set of thresholds.
*
* This filter produces an output image whose pixels are labeled
* progressively according to the classes identified by a set of thresholds.
* Values equal to a threshold is considered to be in the lower class.
*
* This filter is templated over the input image type
* and the output image type.
*
* The filter expect both images to have the same number of dimensions.
*
* \ingroup IntensityImageFilters Multithreaded
*/
namespace Functor {
template< class TInput, class TOutput >
class ThresholdLabeler
{
public:
ThresholdLabeler() { m_LabelOffset = NumericTraits<TOutput>::One; }
~ThresholdLabeler() {};
typedef typename NumericTraits< TInput >::RealType RealThresholdType;
typedef std::vector<RealThresholdType> RealThresholdVector;
/** Set the vector of thresholds. */
void SetThresholds( const RealThresholdVector & thresholds )
{ m_Thresholds = thresholds; }
/** Set the offset which labels have to start from. */
void SetLabelOffset( const TOutput & labelOffset )
{ m_LabelOffset = labelOffset; }
bool operator!=( const ThresholdLabeler & other ) const
{
if( m_Thresholds != other.m_Thresholds ||
m_LabelOffset != other.m_LabelOffset )
{
return true;
}
return false;
}
bool operator==( const ThresholdLabeler & other ) const
{
return !(*this != other);
}
inline TOutput operator()( const TInput & A )
{
unsigned int size = m_Thresholds.size();
if (size == 0)
{
return m_LabelOffset;
}
if (A <= m_Thresholds[0])
{
return m_LabelOffset;
}
for (unsigned int i=0; i<size-1; i++)
{
/* Value is in this class if it equals the upper bound. */
if (m_Thresholds[i] < A && A <= m_Thresholds[i+1])
{
return static_cast<TOutput>(i+1) + m_LabelOffset;
}
}
return static_cast<TOutput>(size) + m_LabelOffset;
}
private:
RealThresholdVector m_Thresholds;
TOutput m_LabelOffset;
};
}
template <class TInputImage,class TOutputImage>
class ThresholdLabelerImageFilter :
public
UnaryFunctorImageFilter<TInputImage,TOutputImage,
Functor::ThresholdLabeler<
typename TInputImage::PixelType,
typename TOutputImage::PixelType> >
{
public:
/** Standard class typedefs. */
typedef ThresholdLabelerImageFilter Self;
typedef UnaryFunctorImageFilter<TInputImage,TOutputImage,
Functor::ThresholdLabeler<
typename TInputImage::PixelType,
typename TOutputImage::PixelType>
> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(ThresholdLabelerImageFilter, UnaryFunctorImageFilter);
/** Pixel types. */
typedef typename TInputImage::PixelType InputPixelType;
typedef typename TOutputImage::PixelType OutputPixelType;
/** Threshold vector types. */
typedef std::vector<InputPixelType> ThresholdVector;
typedef typename NumericTraits< InputPixelType >::RealType
RealThresholdType;
typedef std::vector<RealThresholdType> RealThresholdVector;
/** The input and output pixel types must support comparison operators. */
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(PixelTypeComparable,
(Concept::Comparable<InputPixelType>));
itkConceptMacro(OutputPixelTypeComparable,
(Concept::Comparable<OutputPixelType>));
itkConceptMacro(OutputPixelTypeOStreamWritable,
(Concept::OStreamWritable<OutputPixelType>));
/** End concept checking */
#endif
/** Set the vector of thresholds. */
void SetThresholds( const ThresholdVector & thresholds )
{
m_Thresholds = thresholds;
m_RealThresholds.clear();
typename ThresholdVector::const_iterator itr = m_Thresholds.begin();
while( itr != m_Thresholds.end() )
{
m_RealThresholds.push_back( static_cast< RealThresholdType >( *itr ) );
++itr;
}
this->Modified();
}
/** Get the vector of thresholds. */
const ThresholdVector & GetThresholds() const
{ return m_Thresholds; }
/** Set the vector of real type thresholds. */
void SetRealThresholds( const RealThresholdVector & thresholds )
{
m_RealThresholds = thresholds;
m_Thresholds.clear();
typename RealThresholdVector::const_iterator itr = m_RealThresholds.begin();
while( itr != m_RealThresholds.end() )
{
m_Thresholds.push_back( static_cast< InputPixelType >( *itr ) );
++itr;
}
this->Modified();
}
/** Get the vector of real thresholds. */
const RealThresholdVector & GetRealThresholds() const
{ return m_RealThresholds; }
/** Set the offset which labels have to start from. */
itkSetClampMacro(LabelOffset,OutputPixelType, NumericTraits<OutputPixelType>::Zero,NumericTraits<OutputPixelType>::max() );
itkGetMacro(LabelOffset,OutputPixelType);
protected:
ThresholdLabelerImageFilter();
virtual ~ThresholdLabelerImageFilter() {}
void PrintSelf(std::ostream& os, Indent indent) const;
/** This method is used to set the state of the filter before
* multi-threading. */
virtual void BeforeThreadedGenerateData();
private:
ThresholdLabelerImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
ThresholdVector m_Thresholds;
RealThresholdVector m_RealThresholds;
OutputPixelType m_LabelOffset;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkThresholdLabelerImageFilter.txx"
#endif
#endif
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