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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkIsolatedWatershedImageFilter.txx,v $
Language: C++
Date: $Date: 2006-03-19 04:36:54 $
Version: $Revision: 1.4 $
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 __itkIsolatedWatershedImageFilter_txx_
#define __itkIsolatedWatershedImageFilter_txx_
#include "itkIsolatedWatershedImageFilter.h"
#include "itkWatershedImageFilter.h"
#include "itkProgressReporter.h"
#include "itkIterationReporter.h"
namespace itk
{
/**
* Constructor
*/
template <class TInputImage, class TOutputImage>
IsolatedWatershedImageFilter<TInputImage, TOutputImage>
::IsolatedWatershedImageFilter()
{
m_Threshold = NumericTraits<InputImagePixelType>::Zero;
m_Seed1.Fill(0);
m_Seed2.Fill(0);
m_ReplaceValue1 = NumericTraits<OutputImagePixelType>::One;
m_ReplaceValue2 = NumericTraits<OutputImagePixelType>::Zero;
m_IsolatedValue = 0.0;
m_IsolatedValueTolerance = 0.001;
m_UpperValueLimit = 1.0;
m_GradientMagnitude = GradientMagnitudeType::New();
m_Watershed = WatershedType::New();
}
/**
* Standard PrintSelf method.
*/
template <class TInputImage, class TOutputImage>
void
IsolatedWatershedImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
this->Superclass::PrintSelf(os, indent);
os << indent << "Threshold: "
<< m_Threshold
<< std::endl;
os << indent << "UpperValueLimit: "
<< m_UpperValueLimit
<< std::endl;
os << indent << "ReplaceValue1: "
<< static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_ReplaceValue1)
<< std::endl;
os << indent << "ReplaceValue2: "
<< static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_ReplaceValue2)
<< std::endl;
os << indent << "Seed1: " << m_Seed1 << std::endl;
os << indent << "Seed2: " << m_Seed2 << std::endl;
os << indent << "IsolatedValue: "
<< m_IsolatedValue
<< std::endl;
os << indent << "IsolatedValueTolerance: "
<< m_IsolatedValueTolerance
<< std::endl;
}
template <class TInputImage, class TOutputImage>
void
IsolatedWatershedImageFilter<TInputImage,TOutputImage>
::GenerateInputRequestedRegion()
{
Superclass::GenerateInputRequestedRegion();
if ( this->GetInput() )
{
InputImagePointer image =
const_cast< TInputImage * >( this->GetInput() );
image->SetRequestedRegionToLargestPossibleRegion();
}
}
template <class TInputImage, class TOutputImage>
void
IsolatedWatershedImageFilter<TInputImage,TOutputImage>
::EnlargeOutputRequestedRegion(DataObject *output)
{
Superclass::EnlargeOutputRequestedRegion(output);
output->SetRequestedRegionToLargestPossibleRegion();
}
template <class TInputImage, class TOutputImage>
void
IsolatedWatershedImageFilter<TInputImage,TOutputImage>
::GenerateData()
{
InputImageConstPointer inputImage = this->GetInput();
OutputImagePointer outputImage = this->GetOutput();
OutputImageRegionType region = outputImage->GetRequestedRegion() ;
// Set up the pipeline
m_GradientMagnitude->SetInput (inputImage);
// Set up the Watershed
m_Watershed->SetInput (m_GradientMagnitude->GetOutput());
m_Watershed->SetThreshold (m_Threshold);
m_Watershed->SetLevel (m_UpperValueLimit);
// Allocate the output
this->AllocateOutputs();
double lower = m_Threshold;
double upper = m_UpperValueLimit;
double guess = upper;
const unsigned int maximumIterationsInBinarySearch =
static_cast< unsigned int > (
vcl_log(( static_cast<float>( upper ) - static_cast< float >( lower ) ) /
static_cast<float>( m_IsolatedValueTolerance ) ) / vcl_log(2.0 ) );
const float progressWeight = 1.0f / static_cast<float>( maximumIterationsInBinarySearch + 2 );
float cumulatedProgress = 0.0f;
IterationReporter iterate( this, 0, 1);
// Do a binary search to find an upper waterlevel that separates the
// two seeds.
while (lower + m_IsolatedValueTolerance < guess)
{
ProgressReporter progress( this, 0, region.GetNumberOfPixels(), 100, cumulatedProgress, progressWeight );
cumulatedProgress += progressWeight;
m_Watershed->SetLevel (guess);
m_Watershed->Update ();
if (m_Watershed->GetOutput()->GetPixel(m_Seed1) == m_Watershed->GetOutput()->GetPixel(m_Seed2))
{
upper = guess;
}
else
{
lower = guess;
}
guess = (upper + lower) /2;
iterate.CompletedStep();
}
// now produce an output image with the two seeded basins labeled
ProgressReporter progress( this, 0, region.GetNumberOfPixels(), 100, cumulatedProgress, progressWeight );
ImageRegionIterator<OutputImageType> ot =
ImageRegionIterator<OutputImageType>(outputImage, region);
ImageRegionIterator<ITK_TYPENAME WatershedType::OutputImageType> it =
ImageRegionIterator<ITK_TYPENAME WatershedType::OutputImageType>(m_Watershed->GetOutput(), region);
unsigned long seed1Label = m_Watershed->GetOutput()->GetPixel(m_Seed1);
unsigned long seed2Label = m_Watershed->GetOutput()->GetPixel(m_Seed2);
unsigned long value;
it.GoToBegin();
ot.GoToBegin();
while( !it.IsAtEnd())
{
value = it.Get();
if (value == seed1Label)
{
ot.Set(m_ReplaceValue1);
}
else if (value == seed2Label)
{
ot.Set(m_ReplaceValue2);
}
else
{
ot.Set(NumericTraits<OutputImagePixelType>::Zero);
}
++it;
++ot;
progress.CompletedPixel(); // potential exception thrown here
}
m_IsolatedValue = lower;
iterate.CompletedStep();
}
} // end namespace itk
#endif
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