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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.
Copyright (c) Institut Telecom; Telecom bretagne. All rights reserved.
See IMTCopyright.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 otbSVMImageClassificationWithRuleFilter_txx
#define otbSVMImageClassificationWithRuleFilter_txx
#include "otbSVMImageClassificationWithRuleFilter.h"
#include "itkNumericTraits.h"
namespace otb {
template <class TInputImage, class TOutputImage, class TMaskImage>
SVMImageClassificationWithRuleFilter<TInputImage, TOutputImage, TMaskImage>
::SVMImageClassificationWithRuleFilter()
{
m_OutputRule = OutputRuleImageType::New();
}
template <class TInputImage, class TOutputImage, class TMaskImage>
void
SVMImageClassificationWithRuleFilter<TInputImage, TOutputImage, TMaskImage>
::GenerateOutputInformation()
{
Superclass::GenerateOutputInformation();
if (this->GetModel() == ITK_NULLPTR)
{
itkGenericExceptionMacro(<< "No model for classification");
}
// add output information on the rule image
this->GetOutputRule()->SetNumberOfComponentsPerPixel(
this->GetModel()->GetNumberOfClasses() * (this->GetModel()->GetNumberOfClasses() - 1) / 2);
this->GetOutputRule()->CopyInformation(this->GetInput());
this->GetOutputRule()->SetRegions(this->GetInput()->GetLargestPossibleRegion());
}
template <class TInputImage, class TOutputImage, class TMaskImage>
void
SVMImageClassificationWithRuleFilter<TInputImage, TOutputImage, TMaskImage>
::AllocateOutputs()
{
Superclass::AllocateOutputs();
if (this->GetModel() == ITK_NULLPTR)
{
itkGenericExceptionMacro(<< "No model for classification");
}
// add allocation for the rule image
OutputRuleImageType * output = this->GetOutputRule();
output->SetNumberOfComponentsPerPixel(
this->GetModel()->GetNumberOfClasses() * (this->GetModel()->GetNumberOfClasses() - 1) / 2);
output->Allocate();
}
template <class TInputImage, class TOutputImage, class TMaskImage>
void
SVMImageClassificationWithRuleFilter<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();
OutputRuleImagePointerType outputRulePtr = this->GetOutputRule();
// 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;
typedef itk::ImageRegionIterator<OutputRuleImageType> OutputRuleIteratorType;
InputIteratorType inIt(inputPtr, outputRegionForThread);
OutputIteratorType outIt(outputPtr, outputRegionForThread);
OutputRuleIteratorType outRuleIt(outputRulePtr, outputRegionForThread);
// Eventually iterate on masks
MaskIteratorType maskIt;
if (inputMaskPtr)
{
maskIt = MaskIteratorType(inputMaskPtr, outputRegionForThread);
maskIt.GoToBegin();
}
bool validPoint = true;
typename ModelType::DistancesVectorType defaultDistancesVector
(outputRulePtr->GetNumberOfComponentsPerPixel());
defaultDistancesVector.Fill(itk::NumericTraits<RuleValueType>::ZeroValue());
// Walk the part of the images
for (inIt.GoToBegin(), outIt.GoToBegin(), outRuleIt.GoToBegin();
!inIt.IsAtEnd() && !outIt.IsAtEnd() && !outRuleIt.IsAtEnd();
++inIt, ++outIt, ++outRuleIt)
{
// Check pixel validity
if (inputMaskPtr)
{
validPoint = maskIt.Get() > 0;
++maskIt;
}
// If point is valid
if (validPoint)
{
// Classifify
MeasurementType measure;
for (unsigned int i = 0; i < inIt.Get().Size(); ++i)
{
measure.push_back(inIt.Get()[i]);
}
outIt.Set(this->GetModel()->EvaluateLabel(measure));
// And get rules
outRuleIt.Set(this->GetModel()->EvaluateHyperplanesDistances(measure));
}
else
{
// else, set default value
outIt.Set(this->GetDefaultLabel());
outRuleIt.Set(defaultDistancesVector);
}
progress.CompletedPixel();
}
}
} // end of namespace otb
#endif
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