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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 itkBinaryReconstructionByDilationImageFilter_hxx
#define itkBinaryReconstructionByDilationImageFilter_hxx
#include "itkBinaryReconstructionByDilationImageFilter.h"
#include "itkProgressAccumulator.h"
namespace itk {
template<typename TInputImage>
BinaryReconstructionByDilationImageFilter<TInputImage>
::BinaryReconstructionByDilationImageFilter()
{
m_BackgroundValue = NumericTraits<OutputImagePixelType>::NonpositiveMin();
m_ForegroundValue = NumericTraits<OutputImagePixelType>::max();
m_FullyConnected = false;
this->SetPrimaryInputName( "MarkerImage" );
this->AddRequiredInputName( "MaskImage", 1 );
}
template<typename TInputImage>
void
BinaryReconstructionByDilationImageFilter<TInputImage>
::SetMarkerImage( const InputImageType * input )
{
// Process object is not const-correct, so the const casting is required.
this->ProcessObject::SetInput( "MarkerImage", const_cast< InputImageType * >( input ));
}
template<typename TInputImage>
typename BinaryReconstructionByDilationImageFilter<TInputImage>::InputImageType *
BinaryReconstructionByDilationImageFilter<TInputImage>
::GetMarkerImage()
{
return static_cast<InputImageType*>(const_cast<DataObject *>(this->ProcessObject::GetInput( "MarkerImage" )));
}
template<typename TInputImage>
void
BinaryReconstructionByDilationImageFilter<TInputImage>
::SetMaskImage( const InputImageType * input )
{
// Process object is not const-correct, so the const casting is required.
this->ProcessObject::SetInput( "MaskImage", const_cast< InputImageType * >( input ));
}
template<typename TInputImage>
typename BinaryReconstructionByDilationImageFilter<TInputImage>::InputImageType *
BinaryReconstructionByDilationImageFilter<TInputImage>
::GetMaskImage()
{
return static_cast<InputImageType*>(const_cast<DataObject *>(this->ProcessObject::GetInput( "MaskImage" )));
}
template<typename TInputImage>
void
BinaryReconstructionByDilationImageFilter<TInputImage>
::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// We need all the input.
InputImagePointer input = const_cast<InputImageType *>(this->GetMarkerImage());
if( input )
{
input->SetRequestedRegion( input->GetLargestPossibleRegion() );
}
input = const_cast<InputImageType *>(this->GetMaskImage());
if( input )
{
input->SetRequestedRegion( input->GetLargestPossibleRegion() );
}
}
template<typename TInputImage>
void
BinaryReconstructionByDilationImageFilter<TInputImage>
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template<typename TInputImage>
void
BinaryReconstructionByDilationImageFilter<TInputImage>
::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->GetMaskImage() );
labelizer->SetInputForegroundValue( m_ForegroundValue );
labelizer->SetOutputBackgroundValue( m_BackgroundValue );
labelizer->SetFullyConnected( m_FullyConnected );
labelizer->SetNumberOfThreads( this->GetNumberOfThreads() );
progress->RegisterInternalFilter(labelizer, .25f);
typename ReconstructionType::Pointer reconstruction = ReconstructionType::New();
reconstruction->SetInput( labelizer->GetOutput() );
reconstruction->SetMarkerImage( this->GetMarkerImage() );
reconstruction->SetForegroundValue( m_ForegroundValue );
reconstruction->SetNumberOfThreads( this->GetNumberOfThreads() );
progress->RegisterInternalFilter(reconstruction, .25f);
typename OpeningType::Pointer opening = OpeningType::New();
opening->SetInput( reconstruction->GetOutput() );
opening->SetLambda( true );
opening->SetNumberOfThreads( this->GetNumberOfThreads() );
progress->RegisterInternalFilter(opening, .25f);
typename BinarizerType::Pointer binarizer = BinarizerType::New();
binarizer->SetInput( opening->GetOutput() );
binarizer->SetForegroundValue( m_ForegroundValue );
binarizer->SetBackgroundValue( m_BackgroundValue );
binarizer->SetBackgroundImage( this->GetMaskImage() );
binarizer->SetNumberOfThreads( this->GetNumberOfThreads() );
progress->RegisterInternalFilter(binarizer, .5f);
binarizer->GraftOutput( this->GetOutput() );
binarizer->Update();
this->GraftOutput( binarizer->GetOutput() );
}
template<typename TInputImage>
void
BinaryReconstructionByDilationImageFilter<TInputImage>
::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;
}
}// end namespace itk
#endif
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