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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkNeighborhoodConnectedImageFilter.txx,v $
Language: C++
Date: $Date: 2003-09-10 14:28:52 $
Version: $Revision: 1.13 $
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 __itkNeighborhoodConnectedImageFilter_txx_
#define __itkNeighborhoodConnectedImageFilter_txx_
#include "itkNeighborhoodConnectedImageFilter.h"
#include "itkNeighborhoodBinaryThresholdImageFunction.h"
#include "itkFloodFilledImageFunctionConditionalIterator.h"
#include "itkProgressReporter.h"
namespace itk
{
/**
* Constructor
*/
template <class TInputImage, class TOutputImage>
NeighborhoodConnectedImageFilter<TInputImage, TOutputImage>
::NeighborhoodConnectedImageFilter()
{
m_Lower = NumericTraits<InputImagePixelType>::NonpositiveMin();
m_Upper = NumericTraits<InputImagePixelType>::max();
m_ReplaceValue = NumericTraits<OutputImagePixelType>::One;
m_Radius.Fill(1);
}
/**
* Standard PrintSelf method.
*/
template <class TInputImage, class TOutputImage>
void
NeighborhoodConnectedImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
this->Superclass::PrintSelf(os, indent);
os << indent << "Upper: "
<< static_cast<typename NumericTraits<InputImagePixelType>::PrintType>(m_Upper)
<< std::endl;
os << indent << "Lower: "
<< static_cast<typename NumericTraits<InputImagePixelType>::PrintType>(m_Lower)
<< std::endl;
os << indent << "ReplaceValue: "
<< static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_ReplaceValue)
<< std::endl;
os << indent << "Radius: " << m_Radius << std::endl;
}
template <class TInputImage, class TOutputImage>
void
NeighborhoodConnectedImageFilter<TInputImage,TOutputImage>
::GenerateInputRequestedRegion()
{
Superclass::GenerateInputRequestedRegion();
if ( this->GetInput() )
{
InputImagePointer image =
const_cast< InputImageType * >( this->GetInput() );
image->SetRequestedRegionToLargestPossibleRegion();
}
}
template <class TInputImage, class TOutputImage>
void
NeighborhoodConnectedImageFilter<TInputImage,TOutputImage>
::EnlargeOutputRequestedRegion(DataObject *output)
{
Superclass::EnlargeOutputRequestedRegion(output);
output->SetRequestedRegionToLargestPossibleRegion();
}
template <class TInputImage, class TOutputImage>
void
NeighborhoodConnectedImageFilter<TInputImage,TOutputImage>
::GenerateData()
{
typename Superclass::InputImageConstPointer inputImage = this->GetInput();
typename Superclass::OutputImagePointer outputImage = this->GetOutput();
// Zero the output
outputImage->SetBufferedRegion( outputImage->GetRequestedRegion() );
outputImage->Allocate();
outputImage->FillBuffer ( NumericTraits<OutputImagePixelType>::Zero );
typedef NeighborhoodBinaryThresholdImageFunction<InputImageType> FunctionType;
typedef FloodFilledImageFunctionConditionalIterator<OutputImageType, FunctionType> IteratorType;
typename FunctionType::Pointer function = FunctionType::New();
function->SetInputImage ( inputImage );
function->ThresholdBetween ( m_Lower, m_Upper );
function->SetRadius (m_Radius);
IteratorType it = IteratorType ( outputImage, function, m_Seeds );
ProgressReporter progress( this, 0,
outputImage->GetRequestedRegion().GetNumberOfPixels());
while( !it.IsAtEnd())
{
it.Set(m_ReplaceValue);
++it;
progress.CompletedPixel();
}
}
} // end namespace itk
#endif
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