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/*=========================================================================
Program: ORFEO Toolbox
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef otbSVMImageClassificationFilter_txx
#define otbSVMImageClassificationFilter_txx
#include "otbSVMImageClassificationFilter.h"
#include "itkImageRegionIterator.h"
#include "itkProgressReporter.h"
namespace otb
{
/**
* Constructor
*/
template <class TInputImage, class TOutputImage, class TMaskImage>
SVMImageClassificationFilter<TInputImage, TOutputImage, TMaskImage>
::SVMImageClassificationFilter()
{
this->SetNumberOfRequiredInputs(2);
this->SetNumberOfRequiredInputs(1);
m_DefaultLabel = itk::NumericTraits<LabelType>::ZeroValue();
}
template <class TInputImage, class TOutputImage, class TMaskImage>
void
SVMImageClassificationFilter<TInputImage, TOutputImage, TMaskImage>
::SetInputMask(const MaskImageType * mask)
{
this->itk::ProcessObject::SetNthInput(1, const_cast<MaskImageType *>(mask));
}
template <class TInputImage, class TOutputImage, class TMaskImage>
const typename SVMImageClassificationFilter<TInputImage, TOutputImage, TMaskImage>
::MaskImageType *
SVMImageClassificationFilter<TInputImage, TOutputImage, TMaskImage>
::GetInputMask()
{
if (this->GetNumberOfInputs() < 2)
{
return ITK_NULLPTR;
}
return static_cast<const MaskImageType *>(this->itk::ProcessObject::GetInput(1));
}
template <class TInputImage, class TOutputImage, class TMaskImage>
void
SVMImageClassificationFilter<TInputImage, TOutputImage, TMaskImage>
::BeforeThreadedGenerateData()
{
if (!m_Model)
{
itkGenericExceptionMacro(<< "No model for classification");
}
}
template <class TInputImage, class TOutputImage, class TMaskImage>
void
SVMImageClassificationFilter<TInputImage, TOutputImage, TMaskImage>
::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread, itk::ThreadIdType threadId)
{
// Get the input pointers
InputImageConstPointerType inputPtr = this->GetInput();
MaskImageConstPointerType inputMaskPtr = this->GetInputMask();
OutputImagePointerType outputPtr = this->GetOutput();
// Progress reporting
itk::ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
// Define iterators
typedef itk::ImageRegionConstIterator<InputImageType> InputIteratorType;
typedef itk::ImageRegionConstIterator<MaskImageType> MaskIteratorType;
typedef itk::ImageRegionIterator<OutputImageType> OutputIteratorType;
InputIteratorType inIt(inputPtr, outputRegionForThread);
OutputIteratorType outIt(outputPtr, outputRegionForThread);
// Eventually iterate on masks
MaskIteratorType maskIt;
if (inputMaskPtr)
{
maskIt = MaskIteratorType(inputMaskPtr, outputRegionForThread);
maskIt.GoToBegin();
}
bool validPoint = true;
// Walk the part of the image
for (inIt.GoToBegin(), outIt.GoToBegin(); !inIt.IsAtEnd() && !outIt.IsAtEnd(); ++inIt, ++outIt)
{
// Check pixel validity
if (inputMaskPtr)
{
validPoint = maskIt.Get() > 0;
++maskIt;
}
// If point is valid
if (validPoint)
{
// Classifify
typename ModelType::MeasurementType measure;
for (unsigned int i = 0; i < inIt.Get().Size(); ++i)
{
measure.push_back(inIt.Get()[i]);
}
outIt.Set(m_Model->EvaluateLabel(measure));
}
else
{
// else, set default value
outIt.Set(m_DefaultLabel);
}
progress.CompletedPixel();
}
}
/**
* PrintSelf Method
*/
template <class TInputImage, class TOutputImage, class TMaskImage>
void
SVMImageClassificationFilter<TInputImage, TOutputImage, TMaskImage>
::PrintSelf(std::ostream& os, itk::Indent indent) const
{
Superclass::PrintSelf(os, indent);
}
} // End namespace otb
#endif
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