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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 itkLabelImageToLabelMapFilter_hxx
#define itkLabelImageToLabelMapFilter_hxx
#include "itkNumericTraits.h"
#include "itkTotalProgressReporter.h"
#include "itkImageLinearConstIteratorWithIndex.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage>
LabelImageToLabelMapFilter<TInputImage, TOutputImage>::LabelImageToLabelMapFilter()
{
m_BackgroundValue = NumericTraits<OutputImagePixelType>::NonpositiveMin();
this->DynamicMultiThreadingOff();
}
template <typename TInputImage, typename TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// We need all the input.
InputImagePointer input = const_cast<InputImageType *>(this->GetInput());
if (!input)
{
return;
}
input->SetRequestedRegion(input->GetLargestPossibleRegion());
}
template <typename TInputImage, typename TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()->SetRequestedRegion(this->GetOutput()->GetLargestPossibleRegion());
}
template <typename TInputImage, typename TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>::BeforeThreadedGenerateData()
{
// init the temp images - one per thread
m_TemporaryImages.resize(this->GetNumberOfWorkUnits());
for (ThreadIdType i = 0; i < this->GetNumberOfWorkUnits(); ++i)
{
if (i == 0)
{
// the first one is the output image
m_TemporaryImages[0] = this->GetOutput();
}
else
{
// the other must be created
m_TemporaryImages[i] = OutputImageType::New();
}
// set the minimum data needed to create the objects properly
m_TemporaryImages[i]->SetBackgroundValue(m_BackgroundValue);
}
}
template <typename TInputImage, typename TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>::ThreadedGenerateData(
const OutputImageRegionType & regionForThread,
ThreadIdType threadId)
{
TotalProgressReporter progress(this, this->GetInput()->GetRequestedRegion().GetNumberOfPixels());
using InputLineIteratorType = ImageLinearConstIteratorWithIndex<InputImageType>;
InputLineIteratorType it(this->GetInput(), regionForThread);
it.SetDirection(0);
for (it.GoToBegin(); !it.IsAtEnd(); it.NextLine())
{
it.GoToBeginOfLine();
while (!it.IsAtEndOfLine())
{
/** todo: use .Value() here? */
const InputImagePixelType & value = it.Get();
if (value != static_cast<InputImagePixelType>(m_BackgroundValue))
{
// We've hit the start of a run
IndexType idx = it.GetIndex();
LengthType length = 1;
++it;
while (!it.IsAtEndOfLine() && it.Get() == value)
{
++length;
++it;
}
// create the run length object to go in the vector
m_TemporaryImages[threadId]->SetLine(idx, length, value);
}
else
{
// go the next pixel
++it;
}
}
progress.Completed(regionForThread.GetSize(0));
}
}
template <typename TInputImage, typename TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>::AfterThreadedGenerateData()
{
OutputImageType * output = this->GetOutput();
// merge the lines from the temporary images in the output image
// don't use the first image - that's the output image
for (ThreadIdType i = 1; i < this->GetNumberOfWorkUnits(); ++i)
{
for (typename OutputImageType::Iterator it(m_TemporaryImages[i]); !it.IsAtEnd(); ++it)
{
LabelObjectType * labelObject = it.GetLabelObject();
if (output->HasLabel(labelObject->GetLabel()))
{
// merge the lines in the output's object
LabelObjectType * lo = output->GetLabelObject(labelObject->GetLabel());
typename LabelObjectType::ConstLineIterator lit(labelObject);
while (!lit.IsAtEnd())
{
lo->AddLine(lit.GetLine());
++lit;
}
}
else
{
// simply take the object
output->AddLabelObject(labelObject);
}
}
}
// release the data in the temp images
m_TemporaryImages.clear();
}
template <typename TInputImage, typename TOutputImage>
void
LabelImageToLabelMapFilter<TInputImage, TOutputImage>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent
<< "BackgroundValue: " << static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_BackgroundValue)
<< std::endl;
}
} // end namespace itk
#endif
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