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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 "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
auto progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
// Allocate the output
this->AllocateOutputs();
auto labelizer = LabelizerType::New();
labelizer->SetInput(this->GetInput());
labelizer->SetInputForegroundValue(m_ForegroundValue);
labelizer->SetOutputBackgroundValue(m_BackgroundValue);
labelizer->SetFullyConnected(m_FullyConnected);
labelizer->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
progress->RegisterInternalFilter(labelizer, .3f);
auto valuator = LabelObjectValuatorType::New();
valuator->SetInput(labelizer->GetOutput());
valuator->SetFeatureImage(this->GetFeatureImage());
valuator->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
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);
auto opening = OpeningType::New();
opening->SetInput(valuator->GetOutput());
opening->SetLambda(m_Lambda);
opening->SetReverseOrdering(m_ReverseOrdering);
opening->SetAttribute(m_Attribute);
opening->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
progress->RegisterInternalFilter(opening, .2f);
auto binarizer = BinarizerType::New();
binarizer->SetInput(opening->GetOutput());
binarizer->SetForegroundValue(m_ForegroundValue);
binarizer->SetBackgroundValue(m_BackgroundValue);
binarizer->SetBackgroundImage(this->GetInput());
binarizer->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
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 ? "On" : "Off") << 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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