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/*
* Copyright (C) 2005-2022 Centre National d'Etudes Spatiales (CNES)
* Copyright (C) 2007-2012 Institut Mines Telecom / Telecom Bretagne
*
* 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 otbSOMbasedImageFilter_h
#define otbSOMbasedImageFilter_h
#include "itkMacro.h"
#include "itkUnaryFunctorImageFilter.h"
namespace otb
{
namespace Functor
{
/** \class SOMbasedImageFilterFunctor
* \brief This class implements the functor that perform substitution between
* input image pixels and the corresponding winning neurons of a Kohonen map.
*
* On the contrary to SOMClassifier, it does not yield labels but the
* value of the winning neurons. Also, it is threaded...
*
* \ingroup OTBSOM
*/
template <class TInput, class TOutput, class TDistanceMetric, class TMap>
class ITK_EXPORT SOMbasedImageFilterFunctor
{
public:
/** Standard typedefs */
typedef SOMbasedImageFilterFunctor Self;
typedef TMap MapType;
typedef typename MapType::Pointer MapPointerType;
typedef typename MapType::IndexType IndexType;
typedef typename MapType::PixelType NeuronType;
typedef TDistanceMetric DistanceType;
typedef typename DistanceType::Pointer DistancePointerType;
/** Standard Constructor */
SOMbasedImageFilterFunctor()
{
}
virtual ~SOMbasedImageFilterFunctor()
{
}
/** Functor */
TOutput operator()(const TInput& input);
/** Get/Set the Map */
MapType* GetMap() const
{
return this->m_Map;
}
void SetMap(const MapType* theMap);
/** Get the DistanceMetric */
DistanceType* GetDistance()
{
return this->m_Distance;
}
protected:
/** GetWinner redefinition by using its own TDistanceMetric that
* could be different from the one of the SOM map */
IndexType GetWinner(const NeuronType& sample);
MapPointerType m_Map;
DistancePointerType m_Distance;
private:
SOMbasedImageFilterFunctor(const Self&); // not implemented
void operator=(const Self&); // not implemented
};
} // end of namespace Functor
/** \class SOMbasedImageFilter
* \brief This class perform the substitution between initial input image
* pixels and the winning neurons of a SOM.
*
* It performs the projection of the SOM onto the data. On the contrary to
* otb::SOMClassifier, it does not yield labels but an image which
* corresponds to the quantized version of the initial image when considering
* SOMmap as a codebook of a vector quantization.
*
* SOMbasedImageFilter is templated over a TDistanceMetric since it could be
* different from the initial DistanceMetric used for the SOM training. Moreover
* TMap is a template for the SOM that can be a simple VectorImage.
*
* \ingroup Streamed
* \sa EuclideanDistanceMetricWithMissingValue
*
* \ingroup OTBSOM
*/
template <class TInputImage, class TOutputImage, class TDistanceMetric, class TMap>
class ITK_EXPORT SOMbasedImageFilter
: public itk::UnaryFunctorImageFilter<
TInputImage, TOutputImage,
Functor::SOMbasedImageFilterFunctor<typename TInputImage::PixelType, typename TOutputImage::PixelType, TDistanceMetric, TMap>>
{
public:
/** Standard class typedefs. */
typedef SOMbasedImageFilter Self;
typedef typename itk::UnaryFunctorImageFilter<
TInputImage, TOutputImage, Functor::SOMbasedImageFilterFunctor<typename TInputImage::PixelType, typename TOutputImage::PixelType, TDistanceMetric, TMap>>
Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(SOMbasedImageFilter, UnaryFunctorImageFilter);
/** Some convenient typedefs. */
typedef TDistanceMetric DistanceMetricType;
typedef typename DistanceMetricType::Pointer DistanceMetricPointerType;
typedef TMap MapType;
typedef typename MapType::Pointer MapPointerType;
typedef Functor::SOMbasedImageFilterFunctor<typename TInputImage::PixelType, typename TOutputImage::PixelType, TDistanceMetric, TMap> FunctorType;
/** Vectors that hold the training area */
typedef typename TInputImage::PixelType MeasurementType;
/** Set the SOM map (or VectorImage) */
void SetMap(const MapType* theMap);
protected:
// throw the Map to the functor
void BeforeThreadedGenerateData(void) override;
SOMbasedImageFilter();
~SOMbasedImageFilter() override
{
}
private:
SOMbasedImageFilter(const Self&);
void operator=(const Self&) = delete;
MapPointerType m_Map;
}; // end of class SOMbasedImageFilter
} // end of namespace otb
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbSOMbasedImageFilter.hxx"
#endif
#endif
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