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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 otbSimplePointCountStrategy_h
#define otbSimplePointCountStrategy_h
#include "otbMath.h"
namespace otb
{
/** \class Count
* \brief Compute the density of a neighborhood centerred in a pixel
*
* This filter is templated over the pixel type of the input image
* and the pixel type of the output image.
*
* The filter will walk over all the pixels in the input image, and for
* each one of them it will do the following:
*
* \ingroup OTBPointSet
*/
template <class TPointSet, class TRadiusType, class TIndexType>
class Count
{
public:
Count()
{
}
~Count()
{
}
inline float operator()(const TPointSet* pointSet, const TRadiusType& size, const TIndexType& index)
{
int accu = 0;
double surface = CONST_PI * size * size;
if (pointSet->GetNumberOfPoints() != 0)
{
typedef typename TPointSet::PointsContainer::ConstIterator iteratorType;
iteratorType it = pointSet->GetPoints()->Begin();
while (it != pointSet->GetPoints()->End())
{
float distX2 = (index[0] - it.Value()[0]) * (index[0] - it.Value()[0]);
float distY2 = (index[1] - it.Value()[1]) * (index[1] - it.Value()[1]);
float dist = std::sqrt(distX2 + distY2);
if (dist <= size)
accu++;
++it;
}
}
else
return 0.;
return static_cast<float>(accu / surface);
}
};
} // end namespace otb
#endif
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