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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSubsample.h,v $
Language: C++
Date: $Date: 2010-01-21 22:26:12 $
Version: $Revision: 1.33 $
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 __itkSubsample_h
#define __itkSubsample_h
#include "itkSample.h"
#include "itkMacro.h"
#include "itkObjectFactory.h"
namespace itk {
namespace Statistics {
/** \class Subsample
* \brief This class stores a subset of instance identifiers from another sample
* object. You can create a subsample out of another sample object or another
* subsample object. The class is useful when storing or extracting a portion
* of a sample object. Note that when the elements of a subsample are sorted,
* the instance identifiers of the subsample are sorted without changing the
* original source sample. Most Statistics algorithms (that derive from
* StatisticsAlgorithmBase accept Subsample objects as inputs).
*
*/
template< class TSample >
class ITK_EXPORT Subsample :
public Sample< typename TSample::MeasurementVectorType >
{
public:
/** Standard class typedefs */
typedef Subsample Self;
typedef Sample< typename TSample::MeasurementVectorType > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro(Subsample, Sample);
/** standard New() method support */
itkNewMacro(Self);
/** Smart pointer to the actual sample data holder */
typedef typename TSample::Pointer SamplePointer;
/** Typedefs for Measurement vector, measurement, Instance Identifier,
* frequency, size, size element value from the template argument
* TSample */
typedef typename TSample::MeasurementVectorType MeasurementVectorType;
typedef typename TSample::MeasurementType MeasurementType;
typedef typename TSample::InstanceIdentifier InstanceIdentifier;
typedef typename TSample::FrequencyType FrequencyType;
typedef typename TSample::TotalFrequencyType TotalFrequencyType;
typedef MeasurementVectorType ValueType;
/** Type of the storage for instances that belong to the class
* represented by a Subsample object. A Subsample object stores
* only the InstanceIdentifiers. The actual data is still in the Sample
* object */
typedef std::vector< InstanceIdentifier > InstanceIdentifierHolder;
/** Plug in the actual sample data */
void SetSample(const TSample* sample)
{
m_Sample = sample;
this->SetMeasurementVectorSize( m_Sample->GetMeasurementVectorSize() );
}
const TSample* GetSample() const
{ return m_Sample; }
void InitializeWithAllInstances()
{
m_IdHolder.resize(m_Sample->Size());
typename InstanceIdentifierHolder::iterator idIter = m_IdHolder.begin();
typename TSample::ConstIterator iter = m_Sample->Begin();
typename TSample::ConstIterator last = m_Sample->End();
m_TotalFrequency = NumericTraits< FrequencyType >::Zero;
while (iter != last)
{
*idIter++ = iter.GetInstanceIdentifier();
m_TotalFrequency += iter.GetFrequency();
++iter;
}
}
void AddInstance(InstanceIdentifier id)
{
m_IdHolder.push_back(id);
m_TotalFrequency += m_Sample->GetFrequency(id);
}
/** returns SizeType object whose each element is the number of
* elements in each dimension */
unsigned int Size() const
{
return static_cast<unsigned int>( m_IdHolder.size() );
}
void Clear()
{
m_IdHolder.clear();
m_TotalFrequency = NumericTraits< FrequencyType >::Zero;
}
/** retunrs the measurement of the instance which is identified
* by the 'id' */
const MeasurementVectorType & GetMeasurementVector(const InstanceIdentifier &id) const
{ return m_Sample->GetMeasurementVector(id); }
/** returns the frequency of the instance which is identified by the 'id' */
FrequencyType GetFrequency(const InstanceIdentifier &id) const
{ return m_Sample->GetFrequency(id); }
/** returns the total frequency for the 'd' dimension */
TotalFrequencyType GetTotalFrequency() const
{ return m_TotalFrequency; }
void Swap(int index1, int index2);
const MeasurementVectorType & GetMeasurementVectorByIndex(int index) const;
FrequencyType GetFrequencyByIndex(int index) const;
InstanceIdentifier GetInstanceIdentifier(int index) const;
class ConstIterator;
class Iterator
{
friend class ConstIterator;
public:
Iterator(typename InstanceIdentifierHolder::iterator iter,
Self* classSample)
:m_Iter(iter), m_Subsample(classSample),
m_Sample(classSample->GetSample()) {}
FrequencyType GetFrequency() const
{ return m_Sample->GetFrequency(*m_Iter); }
const MeasurementVectorType & GetMeasurementVector() const
{ return m_Sample->GetMeasurementVector(*m_Iter); }
InstanceIdentifier GetInstanceIdentifier() const
{ return *m_Iter; }
Iterator& operator++()
{
++m_Iter;
return *this;
}
Iterator& operator+(int n)
{ m_Iter += n; return *this;}
Iterator& operator-(int n)
{ m_Iter -= n; return *this;}
bool operator!=(const Iterator& it)
{ return (m_Iter != it.m_Iter); }
bool operator==(const Iterator& it)
{ return (m_Iter == it.m_Iter); }
Iterator& operator=(const Iterator& iter)
{
m_Iter = iter.m_Iter;
m_Subsample = iter.m_Subsample;
m_Sample = iter.m_Sample;
return *this;
}
Iterator(const Iterator& iter)
{
m_Iter = iter.m_Iter;
m_Subsample = iter.m_Subsample;
m_Sample = iter.m_Sample;
}
private:
// Iterator pointing to ImageToListAdaptor
typename InstanceIdentifierHolder::iterator m_Iter;
// Pointer to Subsample object
Self* m_Subsample;
const TSample* m_Sample;
};
class ConstIterator
{
public:
ConstIterator(typename InstanceIdentifierHolder::const_iterator iter,
const Self* classSample)
:m_Iter(iter), m_Subsample(classSample),
m_Sample(classSample->GetSample()) {}
FrequencyType GetFrequency() const
{ return m_Sample->GetFrequency(*m_Iter); }
const MeasurementVectorType & GetMeasurementVector() const
{ return m_Sample->GetMeasurementVector(*m_Iter); }
InstanceIdentifier GetInstanceIdentifier() const
{ return *m_Iter; }
ConstIterator& operator++()
{
++m_Iter;
return *this;
}
ConstIterator& operator+(int n)
{ m_Iter += n; return *this;}
ConstIterator& operator-(int n)
{ m_Iter -= n; return *this;}
bool operator!=(const ConstIterator& it)
{ return (m_Iter != it.m_Iter); }
bool operator==(const ConstIterator& it)
{ return (m_Iter == it.m_Iter); }
ConstIterator& operator=(const ConstIterator& iter)
{
m_Iter = iter.m_Iter;
m_Subsample = iter.m_Subsample;
m_Sample = iter.m_Sample;
return *this;
}
ConstIterator& operator=(const Iterator& iter)
{
m_Iter = iter.m_Iter;
m_Subsample = iter.m_Subsample;
m_Sample = iter.m_Sample;
return *this;
}
ConstIterator(const ConstIterator& iter)
{
m_Iter = iter.m_Iter;
m_Subsample = iter.m_Subsample;
m_Sample = iter.m_Sample;
}
ConstIterator(const Iterator& iter)
{
m_Iter = iter.m_Iter;
m_Subsample = iter.m_Subsample;
m_Sample = iter.m_Sample;
}
private:
// ConstIterator pointing to ImageToListAdaptor
typename InstanceIdentifierHolder::const_iterator m_Iter;
// Pointer to Subsample object
const Self* m_Subsample;
const TSample* m_Sample;
};
Iterator Begin()
{
Iterator iter(m_IdHolder.begin(), this);
return iter;
}
Iterator End()
{
Iterator iter(m_IdHolder.end(), this);
return iter;
}
ConstIterator Begin() const
{
ConstIterator iter(m_IdHolder.begin(), this);
return iter;
}
ConstIterator End() const
{
ConstIterator iter(m_IdHolder.end(), this);
return iter;
}
protected:
Subsample();
virtual ~Subsample() {}
void PrintSelf(std::ostream& os, Indent indent) const;
private:
Subsample(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
const TSample* m_Sample;
InstanceIdentifierHolder m_IdHolder;
unsigned int m_ActiveDimension;
FrequencyType m_TotalFrequency;
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkSubsample.txx"
#endif
#endif
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