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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkWatershedImageFilter.txx,v $
Language: C++
Date: $Date: 2004-02-24 20:42:17 $
Version: $Revision: 1.36 $
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 _itkWatershedImageFilter_txx
#define _itkWatershedImageFilter_txx
#include "itkWatershedImageFilter.h"
namespace itk
{
template< class TInputImage >
void
WatershedImageFilter<TInputImage>
::SetThreshold(double val)
{
if (val < 0.0)
{
val = 0.0;
}
else if (val > 1.0)
{
val = 1.0;
}
if (val != m_Threshold)
{
m_Threshold = val;
m_Segmenter->SetThreshold( m_Threshold );
m_ThresholdChanged = true;
this->Modified();
}
}
template< class TInputImage >
void
WatershedImageFilter<TInputImage>
::SetLevel(double val)
{
if (val < 0.0)
{
val = 0.0;
}
else if (val > 1.0)
{
val = 1.0;
}
if (val != m_Level)
{
m_Level = val;
m_TreeGenerator->SetFloodLevel( m_Level );
m_Relabeler->SetFloodLevel( m_Level );
m_LevelChanged = true;
this->Modified();
}
}
template< class TInputImage >
WatershedImageFilter<TInputImage>
::WatershedImageFilter() : m_Threshold(0.0), m_Level(0.0)
{
// Set up the mini-pipeline for the first execution.
m_Segmenter = watershed::Segmenter<InputImageType>::New();
m_TreeGenerator= watershed::SegmentTreeGenerator<ScalarType>::New();
m_Relabeler = watershed::Relabeler<ScalarType, ImageDimension>::New();
m_Segmenter->SetDoBoundaryAnalysis( false );
m_Segmenter->SetSortEdgeLists(true);
m_Segmenter->SetThreshold( this->GetThreshold() );
m_TreeGenerator->SetInputSegmentTable( m_Segmenter->GetSegmentTable() );
m_TreeGenerator->SetMerge( false );
m_TreeGenerator->SetFloodLevel( this->GetLevel() );
m_Relabeler->SetInputSegmentTree( m_TreeGenerator->GetOutputSegmentTree() );
m_Relabeler->SetInputImage( m_Segmenter->GetOutputImage() );
m_Relabeler->SetFloodLevel( this->GetLevel() );
WatershedMiniPipelineProgressCommand::Pointer c =
WatershedMiniPipelineProgressCommand::New();
c->SetFilter(this);
c->SetNumberOfFilters(3);
m_Segmenter->AddObserver(ProgressEvent(), c);
m_ObserverTag = m_TreeGenerator->AddObserver(ProgressEvent(), c);
m_Relabeler->AddObserver(ProgressEvent(), c);
m_InputChanged = true;
m_LevelChanged = true;
m_ThresholdChanged = true;
}
template< class TInputImage >
void
WatershedImageFilter<TInputImage>
::EnlargeOutputRequestedRegion(DataObject *data)
{
Superclass::EnlargeOutputRequestedRegion(data);
data->SetRequestedRegionToLargestPossibleRegion();
}
template< class TInputImage >
void
WatershedImageFilter<TInputImage>
::PrepareOutputs()
{
// call the superclass' method to clear out the outputs
Superclass::PrepareOutputs();
// clear out the temporary storage of the mini-pipeline as necessary
//
//
// If input changed, then Segmenter + Tree Generator + Relabeler need
// to re-execute. Plus, the HighestCalculatedFloodLevel must be reset
// on the Tree Generator.
//
// If the threshold changed, then Segmenter + Tree Generator +
// Relabeler need to re-execute. Plus, the
// HighestCalculatedFloodLevel must be reset on the Tree Generator
//
if (m_InputChanged
|| (this->GetInput()->GetPipelineMTime() > m_GenerateDataMTime)
|| m_ThresholdChanged)
{
m_Segmenter->PrepareOutputs();
m_TreeGenerator->PrepareOutputs();
m_Relabeler->PrepareOutputs();
m_TreeGenerator->SetHighestCalculatedFloodLevel(0.0);
}
// If the flood level changed but is below the Tree
// Generator::HighestCalculatedFloodLevel, then only the Relabeler
// must execute.
//
// If the flood level changed and is above the Tree
// Generator::HighestCalculatedFloodLevel, then the Tree Generator +
// Relabeler must execute.
//
if (m_LevelChanged)
{
if (m_Level <= m_TreeGenerator->GetHighestCalculatedFloodLevel())
{
m_Relabeler->PrepareOutputs();
}
else
{
m_TreeGenerator->PrepareOutputs();
m_Relabeler->PrepareOutputs();
}
}
}
template< class TInputImage >
void
WatershedImageFilter<TInputImage>
::GenerateData()
{
// Set the largest possible region in the segmenter
m_Segmenter->SetLargestPossibleRegion(this->GetInput()
->GetLargestPossibleRegion());
m_Segmenter->GetOutputImage()
->SetRequestedRegion(this->GetInput()->GetLargestPossibleRegion());
// Setup the progress command
WatershedMiniPipelineProgressCommand::Pointer c =
dynamic_cast<WatershedMiniPipelineProgressCommand *>(
m_TreeGenerator->GetCommand(m_ObserverTag) );
c->SetCount(0.0);
c->SetNumberOfFilters(3);
// Graft our output on the relabeler
m_Relabeler->GraftOutput( this->GetOutput() );
// Update the mini-pipeline
m_Relabeler->Update();
// Graft the output of the relabeler back on this filter
this->GraftOutput( m_Relabeler->GetOutputImage() );
// Keep track of when we last executed
m_GenerateDataMTime.Modified();
// Clear flags
m_InputChanged = false;
m_LevelChanged = false;
m_ThresholdChanged = false;
}
template<class TInputImage>
void
WatershedImageFilter<TInputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "Threshold: " << m_Threshold << std::endl;
os << indent << "Level: " << m_Level << std::endl;
}
} // end namespace itk
#endif
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