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/*
* Copyright (C) 2005-2020 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* 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
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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 otbApplyGainFilter_hxx
#define otbApplyGainFilter_hxx
#include "otbApplyGainFilter.h"
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIteratorWithIndex.h"
#include "itkContinuousIndex.h"
#include <limits>
namespace otb
{
template <class TInputImage, class TLut, class TOutputImage>
ApplyGainFilter<TInputImage, TLut, TOutputImage>::ApplyGainFilter()
{
this->SetNumberOfRequiredInputs(2);
m_Min = std::numeric_limits<InputPixelType>::quiet_NaN();
m_Max = std::numeric_limits<InputPixelType>::quiet_NaN();
m_NoData = std::numeric_limits<InputPixelType>::quiet_NaN();
m_NoDataFlag = false;
m_ThumbSizeFromSpacing = true;
m_Step = -1;
}
template <class TInputImage, class TLut, class TOutputImage>
void ApplyGainFilter<TInputImage, TLut, TOutputImage>::SetInputImage(const InputImageType* input)
{
// Process object is not const-correct so the const casting is required.
this->SetNthInput(0, const_cast<InputImageType*>(input));
}
template <class TInputImage, class TLut, class TOutputImage>
const TInputImage* ApplyGainFilter<TInputImage, TLut, TOutputImage>::GetInputImage() const
{
return static_cast<const InputImageType*>(this->itk::ProcessObject::GetInput(0));
}
template <class TInputImage, class TLut, class TOutputImage>
void ApplyGainFilter<TInputImage, TLut, TOutputImage>::SetInputLut(const LutType* lut)
{
// Process object is not const-correct so the const casting is required.
this->SetNthInput(1, const_cast<LutType*>(lut));
}
template <class TInputImage, class TLut, class TOutputImage>
const TLut* ApplyGainFilter<TInputImage, TLut, TOutputImage>::GetInputLut() const
{
return static_cast<const LutType*>(this->itk::ProcessObject::GetInput(1));
}
template <class TInputImage, class TLut, class TOutputImage>
void ApplyGainFilter<TInputImage, TLut, TOutputImage>::GenerateInputRequestedRegion()
{
typename InputImageType::Pointer input(const_cast<InputImageType*>(GetInputImage()));
typename LutType::Pointer lut(const_cast<LutType*>(GetInputLut()));
typename OutputImageType::Pointer output(this->GetOutput());
lut->SetRequestedRegion(lut->GetLargestPossibleRegion());
input->SetRequestedRegion(output->GetRequestedRegion());
if (input->GetRequestedRegion().GetNumberOfPixels() == 0)
{
input->SetRequestedRegionToLargestPossibleRegion();
}
}
template <class TInputImage, class TLut, class TOutputImage>
void ApplyGainFilter<TInputImage, TLut, TOutputImage>::BeforeThreadedGenerateData()
{
typename LutType::ConstPointer lut(GetInputLut());
typename InputImageType::ConstPointer input(GetInputImage());
if (m_ThumbSizeFromSpacing)
{
m_ThumbSize[0] = std::round(lut->GetSignedSpacing()[0] / input->GetSignedSpacing()[0]);
m_ThumbSize[1] = std::round(lut->GetSignedSpacing()[1] / input->GetSignedSpacing()[1]);
}
m_Step = static_cast<double>(m_Max - m_Min) / static_cast<double>(lut->GetVectorLength() - 1);
}
template <class TInputImage, class TLut, class TOutputImage>
void ApplyGainFilter<TInputImage, TLut, TOutputImage>::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
itk::ThreadIdType itkNotUsed(threadId))
{
assert(m_Step > 0);
// TODO error
// support progress methods/callbacks
// itk::ProgressReporter progress(this , threadId ,
// outputRegionForThread.GetNumberOfPixels() );
typename InputImageType::ConstPointer input(GetInputImage());
typename LutType::ConstPointer lut(GetInputLut());
typename OutputImageType::Pointer output(this->GetOutput());
typename InputImageType::RegionType inputRegionForThread(outputRegionForThread);
itk::ImageRegionConstIteratorWithIndex<InputImageType> it(input, inputRegionForThread);
itk::ImageRegionIterator<OutputImageType> oit(output, outputRegionForThread);
unsigned int pixelLutValue(0);
double gain(0.0), newValue(0);
InputPixelType currentPixel(0);
for (it.GoToBegin(), oit.GoToBegin(); !oit.IsAtEnd() || !it.IsAtEnd(); ++oit, ++it)
{
currentPixel = it.Get();
newValue = static_cast<double>(currentPixel);
if (!((currentPixel == m_NoData && m_NoDataFlag) || currentPixel > m_Max || currentPixel < m_Min))
{
pixelLutValue = static_cast<unsigned int>(std::round((currentPixel - m_Min) / m_Step));
gain = InterpolateGain(lut, pixelLutValue, it.GetIndex());
newValue *= gain;
}
oit.Set(static_cast<OutputPixelType>(newValue));
}
assert(oit.IsAtEnd() && it.IsAtEnd());
}
template <class TInputImage, class TLut, class TOutputImage>
double ApplyGainFilter<TInputImage, TLut, TOutputImage>::InterpolateGain(typename LutType::ConstPointer gridLut, unsigned int pixelLutValue,
typename InputImageType::IndexType index)
{
typename InputImageType::PointType pixelPoint;
typename itk::ContinuousIndex<double, 2> pixelIndex;
typename InputImageType::ConstPointer input(GetInputImage());
typename LutType::ConstPointer lut(GetInputLut());
input->TransformIndexToPhysicalPoint(index, pixelPoint);
lut->TransformPhysicalPointToContinuousIndex(pixelPoint, pixelIndex);
std::vector<typename LutType::IndexType> neighbors(4);
neighbors[0][0] = std::floor(pixelIndex[0]);
neighbors[0][1] = std::floor(pixelIndex[1]);
neighbors[1][0] = neighbors[0][0] + 1;
neighbors[1][1] = neighbors[0][1];
neighbors[2][0] = neighbors[0][0];
neighbors[2][1] = neighbors[0][1] + 1;
neighbors[3][0] = neighbors[0][0] + 1;
neighbors[3][1] = neighbors[0][1] + 1;
float gain(0.f), w(0.f), wtm(0.f);
typename LutType::IndexType maxIndex;
maxIndex[0] = lut->GetLargestPossibleRegion().GetSize()[0];
maxIndex[1] = lut->GetLargestPossibleRegion().GetSize()[1];
for (auto i : neighbors)
{
if (i[0] < 0 || i[1] < 0 || i[0] >= maxIndex[0] || i[1] >= maxIndex[1])
continue;
if (gridLut->GetPixel(i)[pixelLutValue] == -1)
continue;
wtm = (1 - std::abs(pixelIndex[0] - i[0])) * (1 - std::abs(pixelIndex[1] - i[1]));
gain += gridLut->GetPixel(i)[pixelLutValue] * wtm;
w += wtm;
}
if (w == 0)
{
w = 1;
gain = 1;
}
return gain / w;
}
/**
* Standard "PrintSelf" method
*/
template <class TInputImage, class TLut, class TOutputImage>
void ApplyGainFilter<TInputImage, TLut, TOutputImage>::PrintSelf(std::ostream& os, itk::Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Is no data activated : " << m_NoDataFlag << std::endl;
os << indent << "No Data : " << m_NoData << std::endl;
os << indent << "Minimum : " << m_Min << std::endl;
os << indent << "Maximum : " << m_Max << std::endl;
os << indent << "Step : " << m_Step << std::endl;
os << indent << "Look up table size : " << m_LutSize << std::endl;
os << indent << "Is ThumbSize from sapcing is activated : " << m_NoDataFlag << std::endl;
os << indent << "Thumbnail size : " << m_ThumbSize << std::endl;
}
} // End namespace otb
#endif
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