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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkBinaryStatisticsOpeningImageFilter.txx
Language: C++
Date: $Date$
Version: $Revision$
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 __itkBinaryStatisticsOpeningImageFilter_txx
#define __itkBinaryStatisticsOpeningImageFilter_txx
#include "itkBinaryStatisticsOpeningImageFilter.h"
#include "itkProgressAccumulator.h"
namespace itk {
template<class TInputImage, class TFeatureImage>
BinaryStatisticsOpeningImageFilter<TInputImage, TFeatureImage>
::BinaryStatisticsOpeningImageFilter()
{
m_BackgroundValue = NumericTraits<OutputImagePixelType>::NonpositiveMin();
m_ForegroundValue = NumericTraits<OutputImagePixelType>::max();
m_FullyConnected = false;
m_ReverseOrdering = false;
m_Lambda = 0.0;
m_Attribute = LabelObjectType::MEAN;
this->SetNumberOfRequiredInputs(2);
}
template<class TInputImage, class TFeatureImage>
void
BinaryStatisticsOpeningImageFilter<TInputImage, TFeatureImage>
::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// We need all the input.
InputImagePointer input = const_cast<InputImageType *>( this->GetInput() );
if( input )
{
input->SetRequestedRegion( input->GetLargestPossibleRegion() );
}
}
template<class TInputImage, class TFeatureImage>
void
BinaryStatisticsOpeningImageFilter<TInputImage, TFeatureImage>
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template<class TInputImage, class TFeatureImage>
void
BinaryStatisticsOpeningImageFilter<TInputImage, TFeatureImage>
::GenerateData()
{
// Create a process accumulator for tracking the progress of this minipipeline
ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter( this );
// Allocate the output
this->AllocateOutputs();
typename LabelizerType::Pointer labelizer = LabelizerType::New();
labelizer->SetInput( this->GetInput() );
labelizer->SetInputForegroundValue( m_ForegroundValue );
labelizer->SetOutputBackgroundValue( m_BackgroundValue );
labelizer->SetFullyConnected( m_FullyConnected );
labelizer->SetNumberOfThreads( this->GetNumberOfThreads() );
progress->RegisterInternalFilter(labelizer, .3f);
typename LabelObjectValuatorType::Pointer valuator = LabelObjectValuatorType::New();
valuator->SetInput( labelizer->GetOutput() );
valuator->SetFeatureImage( this->GetFeatureImage() );
valuator->SetNumberOfThreads( this->GetNumberOfThreads() );
valuator->SetComputeHistogram( false );
if( m_Attribute == LabelObjectType::PERIMETER || m_Attribute == LabelObjectType::ROUNDNESS )
{
valuator->SetComputePerimeter( true );
}
if( m_Attribute == LabelObjectType::FERET_DIAMETER )
{
valuator->SetComputeFeretDiameter( true );
}
progress->RegisterInternalFilter(valuator, .3f);
typename OpeningType::Pointer opening = OpeningType::New();
opening->SetInput( valuator->GetOutput() );
opening->SetLambda( m_Lambda );
opening->SetReverseOrdering( m_ReverseOrdering );
opening->SetAttribute( m_Attribute );
opening->SetNumberOfThreads( this->GetNumberOfThreads() );
progress->RegisterInternalFilter(opening, .2f);
typename BinarizerType::Pointer binarizer = BinarizerType::New();
binarizer->SetInput( opening->GetOutput() );
binarizer->SetForegroundValue( m_ForegroundValue );
binarizer->SetBackgroundValue( m_BackgroundValue );
binarizer->SetBackgroundImage( this->GetInput() );
binarizer->SetNumberOfThreads( this->GetNumberOfThreads() );
progress->RegisterInternalFilter(binarizer, .2f);
binarizer->GraftOutput( this->GetOutput() );
binarizer->Update();
this->GraftOutput( binarizer->GetOutput() );
}
template<class TInputImage, class TFeatureImage>
void
BinaryStatisticsOpeningImageFilter<TInputImage, TFeatureImage>
::PrintSelf(std::ostream &os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "FullyConnected: " << m_FullyConnected << std::endl;
os << indent << "BackgroundValue: " << static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_BackgroundValue) << std::endl;
os << indent << "ForegroundValue: " << static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_ForegroundValue) << std::endl;
os << indent << "Lambda: " << m_Lambda << std::endl;
os << indent << "ReverseOrdering: " << m_ReverseOrdering << std::endl;
os << indent << "Attribute: " << LabelObjectType::GetNameFromAttribute(m_Attribute) << " (" << m_Attribute << ")" << std::endl;
}
}// end namespace itk
#endif
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