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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 itkBinaryImageToShapeLabelMapFilter_hxx
#define itkBinaryImageToShapeLabelMapFilter_hxx
#include "itkProgressAccumulator.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage>
BinaryImageToShapeLabelMapFilter<TInputImage, TOutputImage>::BinaryImageToShapeLabelMapFilter()
{
m_OutputBackgroundValue = NumericTraits<OutputImagePixelType>::NonpositiveMin();
m_InputForegroundValue = NumericTraits<InputImagePixelType>::max();
m_FullyConnected = false;
m_ComputeFeretDiameter = false;
m_ComputePerimeter = true;
m_ComputeOrientedBoundingBox = false;
}
template <typename TInputImage, typename TOutputImage>
void
BinaryImageToShapeLabelMapFilter<TInputImage, TOutputImage>::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// We need all the inputs.
InputImagePointer input = const_cast<InputImageType *>(this->GetInput());
if (input)
{
input->SetRequestedRegion(input->GetLargestPossibleRegion());
}
}
template <typename TInputImage, typename TOutputImage>
void
BinaryImageToShapeLabelMapFilter<TInputImage, TOutputImage>::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()->SetRequestedRegion(this->GetOutput()->GetLargestPossibleRegion());
}
template <typename TInputImage, typename TOutputImage>
void
BinaryImageToShapeLabelMapFilter<TInputImage, TOutputImage>::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_InputForegroundValue);
labelizer->SetOutputBackgroundValue(m_OutputBackgroundValue);
labelizer->SetFullyConnected(m_FullyConnected);
labelizer->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
progress->RegisterInternalFilter(labelizer, .5f);
auto valuator = LabelObjectValuatorType::New();
valuator->SetInput(labelizer->GetOutput());
valuator->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
valuator->SetComputePerimeter(m_ComputePerimeter);
valuator->SetComputeFeretDiameter(m_ComputeFeretDiameter);
valuator->SetComputeOrientedBoundingBox(m_ComputeOrientedBoundingBox);
progress->RegisterInternalFilter(valuator, .5f);
valuator->GraftOutput(this->GetOutput());
valuator->Update();
this->GraftOutput(valuator->GetOutput());
}
template <typename TInputImage, typename TOutputImage>
void
BinaryImageToShapeLabelMapFilter<TInputImage, TOutputImage>::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_OutputBackgroundValue) << std::endl;
os << indent << "ForegroundValue: "
<< static_cast<typename NumericTraits<InputImagePixelType>::PrintType>(m_InputForegroundValue) << std::endl;
os << indent << "ComputeFeretDiameter: " << m_ComputeFeretDiameter << std::endl;
os << indent << "ComputePerimeter: " << m_ComputePerimeter << std::endl;
os << indent << "ComputeOrientedBoundingBox: " << m_ComputeOrientedBoundingBox << std::endl;
}
} // end namespace itk
#endif
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