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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 itkLabelContourImageFilter_hxx
#define itkLabelContourImageFilter_hxx
#include "itkImageScanlineIterator.h"
#include "itkConnectedComponentAlgorithm.h"
#include "itkProgressTransformer.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage>
LabelContourImageFilter<TInputImage, TOutputImage>::LabelContourImageFilter()
: ScanlineFilterCommon<TInputImage, TOutputImage>(this)
, m_BackgroundValue(NumericTraits<OutputImagePixelType>::NonpositiveMin())
{
this->SetInPlace(false);
this->DynamicMultiThreadingOn();
}
// -----------------------------------------------------------------------------
template <typename TInputImage, typename TOutputImage>
void
LabelContourImageFilter<TInputImage, TOutputImage>::GenerateInputRequestedRegion()
{
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
LabelContourImageFilter<TInputImage, TOutputImage>::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()->SetRequestedRegion(this->GetOutput()->GetLargestPossibleRegion());
}
template <typename TInputImage, typename TOutputImage>
void
LabelContourImageFilter<TInputImage, TOutputImage>::GenerateData()
{
this->UpdateProgress(0.0f);
this->AllocateOutputs();
this->SetupLineOffsets(true);
this->BeforeThreadedGenerateData();
ProgressTransformer progress1(0.01f, 0.5f, this);
OutputRegionType reqRegion = this->GetOutput()->GetRequestedRegion();
this->GetMultiThreader()->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
this->GetMultiThreader()->template ParallelizeImageRegionRestrictDirection<ImageDimension>(
0, // do not split along X axis
reqRegion,
[this](const OutputRegionType & r) { this->DynamicThreadedGenerateData(r); },
progress1.GetProcessObject());
ProgressTransformer progress2(0.5f, 0.99f, this);
this->GetMultiThreader()->template ParallelizeImageRegionRestrictDirection<ImageDimension>(
0, // do not split along X axis
reqRegion,
[this](const OutputRegionType & r) { this->ThreadedIntegrateData(r); },
progress2.GetProcessObject());
this->AfterThreadedGenerateData();
this->UpdateProgress(1.0f);
}
// -----------------------------------------------------------------------------
template <typename TInputImage, typename TOutputImage>
void
LabelContourImageFilter<TInputImage, TOutputImage>::BeforeThreadedGenerateData()
{
OutputImageType * output = this->GetOutput();
SizeValueType pixelcount = output->GetRequestedRegion().GetNumberOfPixels();
SizeValueType xsize = output->GetRequestedRegion().GetSize()[0];
SizeValueType linecount = pixelcount / xsize;
m_LineMap.clear();
m_LineMap.resize(linecount);
}
// -----------------------------------------------------------------------------
template <typename TInputImage, typename TOutputImage>
void
LabelContourImageFilter<TInputImage, TOutputImage>::DynamicThreadedGenerateData(
const OutputRegionType & outputRegionForThread)
{
OutputImageType * output = this->GetOutput();
const InputImageType * input = this->GetInput();
ImageScanlineConstIterator inLineIt(input, outputRegionForThread);
ImageScanlineIterator outLineIt(output, outputRegionForThread);
for (inLineIt.GoToBegin(); !inLineIt.IsAtEnd(); inLineIt.NextLine(), outLineIt.NextLine())
{
SizeValueType lineId = this->IndexToLinearIndex(inLineIt.GetIndex());
LineEncodingType thisLine;
while (!inLineIt.IsAtEndOfLine())
{
InputPixelType PVal = inLineIt.Get();
SizeValueType length = 0;
InputIndexType thisIndex = inLineIt.GetIndex();
outLineIt.Set(m_BackgroundValue);
++length;
++inLineIt;
++outLineIt;
while (!inLineIt.IsAtEndOfLine() && inLineIt.Get() == PVal)
{
outLineIt.Set(m_BackgroundValue);
++length;
++inLineIt;
++outLineIt;
}
// create the run length object to go in the vector
RunLength thisRun = { length, thisIndex, static_cast<InternalLabelType>(PVal) };
thisLine.push_back(thisRun);
}
m_LineMap[lineId] = thisLine;
}
}
template <typename TInputImage, typename TOutputImage>
void
LabelContourImageFilter<TInputImage, TOutputImage>::ThreadedIntegrateData(
const OutputRegionType & outputRegionForThread)
{
OutputImageType * output = this->GetOutput();
SizeValueType pixelcount = output->GetRequestedRegion().GetNumberOfPixels();
SizeValueType xsize = output->GetRequestedRegion().GetSize()[0];
OffsetValueType linecount = pixelcount / xsize;
itkAssertInDebugAndIgnoreInReleaseMacro(SizeValueType(linecount) == m_LineMap.size());
for (ImageScanlineIterator outLineIt(output, outputRegionForThread); !outLineIt.IsAtEnd(); outLineIt.NextLine())
{
SizeValueType thisIdx = this->IndexToLinearIndex(outLineIt.GetIndex());
if (!m_LineMap[thisIdx].empty())
{
for (OffsetVectorConstIterator I = this->m_LineOffsets.begin(); I != this->m_LineOffsets.end(); ++I)
{
OffsetValueType neighIdx = thisIdx + (*I);
// check if the neighbor is in the map
if (neighIdx >= 0 && neighIdx < linecount)
{
if (!m_LineMap[neighIdx].empty())
{
// Now check whether they are really neighbors
bool areNeighbors = this->CheckNeighbors(m_LineMap[thisIdx][0].where, m_LineMap[neighIdx][0].where);
if (areNeighbors)
{
this->CompareLines(m_LineMap[thisIdx],
m_LineMap[neighIdx],
true,
true,
m_BackgroundValue,
[output](const LineEncodingConstIterator & currentRun,
const LineEncodingConstIterator &,
OffsetValueType oStart,
OffsetValueType oLast) {
itkAssertInDebugAndIgnoreInReleaseMacro(oStart <= oLast);
OutputIndexType idx = currentRun->where;
for (OffsetValueType x = oStart; x <= oLast; ++x)
{
idx[0] = x;
output->SetPixel(idx, currentRun->label);
}
});
}
}
}
}
}
}
}
// -----------------------------------------------------------------------------
template <typename TInputImage, typename TOutputImage>
void
LabelContourImageFilter<TInputImage, TOutputImage>::AfterThreadedGenerateData()
{
m_LineMap.clear();
}
// -----------------------------------------------------------------------------
template <typename TInputImage, typename TOutputImage>
void
LabelContourImageFilter<TInputImage, TOutputImage>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "FullyConnected: " << this->m_FullyConnected << std::endl;
os << indent
<< "BackgroundValue: " << static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_BackgroundValue)
<< std::endl;
}
} // end namespace itk
#endif
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