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91 lines
3.1 KiB
C++
91 lines
3.1 KiB
C++
/*//////////////////////////////////////////////////////////////////////////////
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// CMT Cosmic Muon Tomography project //////////////////////////////////////////
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////////////////////////////////////////////////////////////////////////////////
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Copyright (c) 2014, Universita' degli Studi di Padova, INFN sez. di Padova
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All rights reserved
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Authors: Andrea Rigoni Garola < andrea.rigoni@pd.infn.it >
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------------------------------------------------------------------
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 3.0 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library.
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//////////////////////////////////////////////////////////////////////////////*/
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#ifndef VOXIMAGEFILTERCUSTOM_HPP
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#define VOXIMAGEFILTERCUSTOM_HPP
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#include <Math/Dense.h>
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#include "Math/VoxImage.h"
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#include "VoxImageFilter.h"
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#define likely(expr) __builtin_expect(!!(expr), 1)
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////////////////////////////////////////////////////////////////////////////////
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///// VOXIMAGE FILTER CUSTOM /////////////////////////////////////////////////
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////////////////////////////////////////////////////////////////////////////////
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namespace uLib {
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template <typename VoxelT>
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class VoxFilterAlgorithmCustom :
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public VoxImageFilter<VoxelT, VoxFilterAlgorithmCustom<VoxelT> > {
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typedef float (* FunctionPt)(const std::vector<Scalarf> &);
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public:
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typedef VoxImageFilter<VoxelT, VoxFilterAlgorithmCustom<VoxelT> > BaseClass;
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VoxFilterAlgorithmCustom(const Vector3i &size) :
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BaseClass(size), m_CustomEvaluate(NULL)
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{}
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float Evaluate(const VoxImage<VoxelT> &buffer, int index)
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{
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if(likely(m_CustomEvaluate)) {
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const std::vector<VoxelT> &vbuf = buffer.ConstData();
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const std::vector<VoxelT> &vker = this->m_KernelData.ConstData();
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int vox_size = vbuf.size();
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int ker_size = vker.size();
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int pos;
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float ker_sum = 0;
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std::vector<Scalarf> mfh(ker_size);
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for (int ik = 0; ik < ker_size; ik++) {
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pos = index + vker[ik].Count - vker[this->m_KernelData.GetCenterData()].Count;
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pos = (pos + vox_size) % vox_size;
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mfh[ik] = vbuf[pos].Value * vker[ik].Value;
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ker_sum += vker[ik].Value;
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}
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return this->m_CustomEvaluate(mfh);
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}
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else
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std::cerr << "Custom evaluate function is NULL \n" <<
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"No operation performed by filter.\n";
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}
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inline void SetCustomEvaluate(FunctionPt funPt) { this->m_CustomEvaluate = funPt; }
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private:
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FunctionPt m_CustomEvaluate;
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};
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}
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#endif // VOXIMAGEFILTERCUSTOM_HPP
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