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/*
* Copyright (C) 2005-2022 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 otbKeyPointDensityImageFilter_h
#define otbKeyPointDensityImageFilter_h
#include "itkImageToImageFilter.h"
#include "otbPointSetToDensityImageFilter.h"
#include "itkNumericTraits.h"
namespace otb
{
/** \class KeyPointDensityImageFilter
* \brief This class computes the density of the characteristic
* points detected in the image.
*
* The density computed is a ratio of the number of keypoints over
* the total number of pixels within a region.
* It uses the class PointSetToDensityImageFilter to do so.
*
* This class use the key point detector specified in the 3rd argument
* template to detect the keypoints. Then for every pixel, the density of the key points
* within its neighborhood is computed.
*
* The output is a map of key points density.
*
* \ingroup OTBDensity
*/
template <class TInputImage, class TOutputImage, class TDetector>
class ITK_EXPORT KeyPointDensityImageFilter : public itk::ImageToImageFilter<TInputImage, TOutputImage>
{
public:
/** Standard class typedefs. */
typedef KeyPointDensityImageFilter Self;
typedef itk::ImageToImageFilter<TInputImage, TOutputImage> 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(KeyPointDensityImageFilter, itk::ImageToImageFilter);
/** Template parameters typedefs*/
typedef TInputImage InputImageType;
typedef typename InputImageType::Pointer InputImagePointerType;
/** OutputImageType typedef support*/
typedef TOutputImage OutputImageType;
typedef typename OutputImageType::Pointer OutputImagePointerType;
/** Detector typedef Support*/
typedef TDetector DetectorType;
typedef typename DetectorType::OutputPointSetType PointSetType;
typedef typename DetectorType::Pointer DetectorPointerType;
/** PointSetToDensityImageFilter support*/
typedef otb::PointSetToDensityImageFilter<PointSetType, OutputImageType> PointSetToDensityImageType;
typedef typename PointSetToDensityImageType::Pointer PointSetToDensityImagePointerType;
/** Get/Set the radius of the neighborhood over which the
statistics are evaluated */
itkSetMacro(NeighborhoodRadius, unsigned int);
itkGetConstReferenceMacro(NeighborhoodRadius, unsigned int);
/**Set/Get Descriptor from the otbCountmageFunction*/
virtual void SetDetector(DetectorType* detector);
virtual DetectorType* GetDetector();
protected:
/**
* Constructor.
*/
KeyPointDensityImageFilter();
/**
* Destructor.
*/
~KeyPointDensityImageFilter() override;
/**
* Standard PrintSelf method.
*/
void PrintSelf(std::ostream& os, itk::Indent indent) const override;
/**
* Main computation method.
*/
// virtual void ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread, itk::ThreadIdType threadId );
void GenerateData() override;
private:
KeyPointDensityImageFilter(const Self&) = delete;
void operator=(const Self&) = delete;
DetectorPointerType m_Detector;
PointSetToDensityImagePointerType m_PointSetToDensityImageFilter;
unsigned int m_NeighborhoodRadius;
};
}
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbKeyPointDensityImageFilter.hxx"
#endif
#endif
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