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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 itkLabelVotingImageFilter_hxx
#define itkLabelVotingImageFilter_hxx
#include "itkImageRegionIterator.h"
#include "itkTotalProgressReporter.h"
#include "itkMath.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage>
LabelVotingImageFilter<TInputImage, TOutputImage>::LabelVotingImageFilter()
: m_LabelForUndecidedPixels(0)
{
this->ThreaderUpdateProgressOff();
}
template <typename TInputImage, typename TOutputImage>
auto
LabelVotingImageFilter<TInputImage, TOutputImage>::ComputeMaximumInputValue() -> InputPixelType
{
InputPixelType maxLabel = 0;
using IteratorType = ImageRegionConstIterator<TInputImage>;
// Record the number of indexed inputs
const size_t numberOfInputIndexes = this->GetNumberOfIndexedInputs();
for (size_t i = 0; i < numberOfInputIndexes; ++i)
{
const InputImageType * inputImage = this->GetInput(i);
IteratorType it(inputImage, inputImage->GetBufferedRegion());
for (it.GoToBegin(); !it.IsAtEnd(); ++it)
{
maxLabel = std::max(maxLabel, it.Get());
}
}
return maxLabel;
}
template <typename TInputImage, typename TOutputImage>
void
LabelVotingImageFilter<TInputImage, TOutputImage>::BeforeThreadedGenerateData()
{
Superclass::BeforeThreadedGenerateData();
// Determine the maximum label in all input images
this->m_TotalLabelCount = static_cast<size_t>(this->ComputeMaximumInputValue()) + 1;
if (!this->m_HasLabelForUndecidedPixels)
{
if (this->m_TotalLabelCount > itk::NumericTraits<OutputPixelType>::max())
{
itkWarningMacro("No new label for undecided pixels, using zero.");
}
this->m_LabelForUndecidedPixels = static_cast<OutputPixelType>(this->m_TotalLabelCount);
}
// Allocate the output image
typename TOutputImage::Pointer output = this->GetOutput();
output->SetBufferedRegion(output->GetRequestedRegion());
output->Allocate();
}
template <typename TInputImage, typename TOutputImage>
void
LabelVotingImageFilter<TInputImage, TOutputImage>::DynamicThreadedGenerateData(
const OutputImageRegionType & outputRegionForThread)
{
using IteratorType = ImageRegionConstIterator<TInputImage>;
using OutIteratorType = ImageRegionIterator<TOutputImage>;
typename TOutputImage::Pointer output = this->GetOutput();
TotalProgressReporter progress(this, output->GetRequestedRegion().GetNumberOfPixels());
// Record the number of indexed inputs
const size_t numberOfInputIndexes = this->GetNumberOfIndexedInputs();
// Create and initialize all input image iterators
std::vector<IteratorType> it(numberOfInputIndexes);
for (size_t i = 0; i < numberOfInputIndexes; ++i)
{
it[i] = IteratorType(this->GetInput(i), outputRegionForThread);
}
std::vector<unsigned int> votesByLabel(this->m_TotalLabelCount);
for (OutIteratorType out(output, outputRegionForThread); !out.IsAtEnd(); ++out)
{
// Reset number of votes per label for all labels
std::fill_n(votesByLabel.begin(), this->m_TotalLabelCount, 0);
// count number of votes for the labels
for (unsigned int i = 0; i < numberOfInputIndexes; ++i)
{
const InputPixelType label = it[i].Get();
if (NumericTraits<InputPixelType>::IsNonnegative(label))
{
++votesByLabel[label];
}
++(it[i]);
}
// Determine the label with the most votes for this pixel
out.Set(0);
unsigned int maxVotes = votesByLabel[0];
for (size_t l = 1; l < this->m_TotalLabelCount; ++l)
{
if (votesByLabel[l] > maxVotes)
{
maxVotes = votesByLabel[l];
out.Set(static_cast<OutputPixelType>(l));
}
else
{
if (votesByLabel[l] == maxVotes)
{
out.Set(this->m_LabelForUndecidedPixels);
}
}
}
progress.CompletedPixel();
}
}
template <typename TInputImage, typename TOutputImage>
void
LabelVotingImageFilter<TInputImage, TOutputImage>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "LabelForUndecidedPixels: "
<< static_cast<typename NumericTraits<OutputPixelType>::PrintType>(m_HasLabelForUndecidedPixels) << std::endl;
os << indent << "HasLabelForUndecidedPixels: " << (m_HasLabelForUndecidedPixels ? "On" : "Off") << std::endl;
os << indent << "TotalLabelCount: " << m_TotalLabelCount << std::endl;
}
} // end namespace itk
#endif
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