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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMinimumMaximumImageFilter.txx,v $
Language: C++
Date: $Date: 2004-12-22 01:52:26 $
Version: $Revision: 1.19 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
eplace
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 _itkMinimumMaximumImageFilter_txx
#define _itkMinimumMaximumImageFilter_txx
#include "itkMinimumMaximumImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
#include "itkNumericTraits.h"
#include "itkProgressReporter.h"
#include <vector>
namespace itk {
template<class TInputImage>
MinimumMaximumImageFilter<TInputImage>
::MinimumMaximumImageFilter()
{
this->SetNumberOfRequiredOutputs(3);
// first output is a copy of the image, DataObject created by
// superclass
//
// allocate the data objects for the remaining outputs which are
// just decorators around floating point types
for (int i=1; i < 3; ++i)
{
typename PixelObjectType::Pointer output
= static_cast<PixelObjectType*>(this->MakeOutput(i).GetPointer());
this->ProcessObject::SetNthOutput(i, output.GetPointer());
}
this->GetMinimumOutput()->Set( NumericTraits<PixelType>::max() );
this->GetMaximumOutput()->Set( NumericTraits<PixelType>::NonpositiveMin() );
}
template<class TInputImage>
DataObject::Pointer
MinimumMaximumImageFilter<TInputImage>
::MakeOutput(unsigned int output)
{
switch (output)
{
case 0:
return static_cast<DataObject*>(TInputImage::New().GetPointer());
break;
case 1:
case 2:
return static_cast<DataObject*>(PixelObjectType::New().GetPointer());
break;
default:
// might as well make an image
return static_cast<DataObject*>(TInputImage::New().GetPointer());
break;
}
}
template<class TInputImage>
typename MinimumMaximumImageFilter<TInputImage>::PixelObjectType*
MinimumMaximumImageFilter<TInputImage>
::GetMinimumOutput()
{
return static_cast<PixelObjectType*>(this->ProcessObject::GetOutput(1));
}
template<class TInputImage>
const typename MinimumMaximumImageFilter<TInputImage>::PixelObjectType*
MinimumMaximumImageFilter<TInputImage>
::GetMinimumOutput() const
{
return static_cast<const PixelObjectType*>(this->ProcessObject::GetOutput(1));
}
template<class TInputImage>
typename MinimumMaximumImageFilter<TInputImage>::PixelObjectType*
MinimumMaximumImageFilter<TInputImage>
::GetMaximumOutput()
{
return static_cast<PixelObjectType*>(this->ProcessObject::GetOutput(2));
}
template<class TInputImage>
const typename MinimumMaximumImageFilter<TInputImage>::PixelObjectType*
MinimumMaximumImageFilter<TInputImage>
::GetMaximumOutput() const
{
return static_cast<const PixelObjectType*>(this->ProcessObject::GetOutput(2));
}
template<class TInputImage>
void
MinimumMaximumImageFilter<TInputImage>
::GenerateInputRequestedRegion()
{
Superclass::GenerateInputRequestedRegion();
if ( this->GetInput() )
{
InputImagePointer image =
const_cast< typename Superclass::InputImageType * >( this->GetInput() );
image->SetRequestedRegionToLargestPossibleRegion();
}
}
template<class TInputImage>
void
MinimumMaximumImageFilter<TInputImage>
::EnlargeOutputRequestedRegion(DataObject *data)
{
Superclass::EnlargeOutputRequestedRegion(data);
data->SetRequestedRegionToLargestPossibleRegion();
}
template<class TInputImage>
void
MinimumMaximumImageFilter<TInputImage>
::AllocateOutputs()
{
// Pass the input through as the output
InputImagePointer image =
const_cast< TInputImage * >( this->GetInput() );
this->GraftOutput( image );
// Nothing that needs to be allocated for the remaining outputs
}
template<class TInputImage>
void
MinimumMaximumImageFilter<TInputImage>
::BeforeThreadedGenerateData()
{
int numberOfThreads = this->GetNumberOfThreads();
// Create the thread temporaries
m_ThreadMin = std::vector<PixelType>(numberOfThreads,
NumericTraits<PixelType>::max());
m_ThreadMax = std::vector<PixelType>(numberOfThreads,
NumericTraits<PixelType>::NonpositiveMin());
}
template<class TInputImage>
void
MinimumMaximumImageFilter<TInputImage>
::AfterThreadedGenerateData()
{
int i;
int numberOfThreads = this->GetNumberOfThreads();
PixelType minimum, maximum;
// Find the min/max over all threads
minimum = NumericTraits<PixelType>::max();
maximum = NumericTraits<PixelType>::NonpositiveMin();
for( i = 0; i < numberOfThreads; i++)
{
if (m_ThreadMin[i] < minimum)
{
minimum = m_ThreadMin[i];
}
if (m_ThreadMax[i] > maximum)
{
maximum = m_ThreadMax[i];
}
}
// Set the outputs
this->GetMinimumOutput()->Set( minimum );
this->GetMaximumOutput()->Set( maximum );
}
template<class TInputImage>
void
MinimumMaximumImageFilter<TInputImage>
::ThreadedGenerateData(const RegionType& outputRegionForThread,
int threadId)
{
PixelType value;
ImageRegionConstIterator<TInputImage> it (this->GetInput(), outputRegionForThread);
// support progress methods/callbacks
ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
// do the work
while (!it.IsAtEnd())
{
value = static_cast<PixelType>(it.Get());
if (value < m_ThreadMin[threadId])
{
m_ThreadMin[threadId] = value;
}
if (value > m_ThreadMax[threadId])
{
m_ThreadMax[threadId] = value;
}
++it;
progress.CompletedPixel();
}
}
template <class TImage>
void
MinimumMaximumImageFilter<TImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "Minimum: "
<< static_cast<typename NumericTraits<PixelType>::PrintType>(this->GetMinimum())
<< std::endl;
os << indent << "Maximum: "
<< static_cast<typename NumericTraits<PixelType>::PrintType>(this->GetMaximum())
<< std::endl;
}
}// end namespace itk
#endif
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