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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkBinaryStatisticsOpeningImageFilter_hxx
#define itkBinaryStatisticsOpeningImageFilter_hxx
#include "itkBinaryStatisticsOpeningImageFilter.h"
#include "itkProgressAccumulator.h"
namespace itk
{
template< typename TInputImage, typename 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< typename TInputImage, typename 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< typename TInputImage, typename TFeatureImage >
void
BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template< typename TInputImage, typename 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(false);
}
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< typename TInputImage, typename 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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