/*////////////////////////////////////////////////////////////////////////////// // CMT Cosmic Muon Tomography project ////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////// Copyright (c) 2014, Universita' degli Studi di Padova, INFN sez. di Padova All rights reserved Authors: Andrea Rigoni Garola < andrea.rigoni@pd.infn.it > ------------------------------------------------------------------ This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 3.0 of the License, or (at your option) any later version. This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this library. //////////////////////////////////////////////////////////////////////////////*/ #ifndef VOXIMAGEFILTER2NDSTAT_HPP #define VOXIMAGEFILTER2NDSTAT_HPP #include #include "Math/VoxImage.h" #include "VoxImageFilter.h" //////////////////////////////////////////////////////////////////////////////// ///// VOXIMAGE FILTER ABTRIM ///////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////// namespace uLib { template class VoxFilterAlgorithm2ndStat : public VoxImageFilter > { public: typedef VoxImageFilter > BaseClass; VoxFilterAlgorithm2ndStat(const Vector3i &size) : BaseClass(size) { } float Evaluate(const VoxImage &buffer, int index) { const std::vector &vbuf = buffer.ConstData(); const std::vector &vker = this->m_KernelData.ConstData(); int vox_size = vbuf.size(); int ker_size = vker.size(); int pos; // mean // float conv = 0, ksum = 0; for (int ik = 0; ik < ker_size; ++ik) { pos = index + vker[ik].Count - vker[this->m_KernelData.GetCenterData()].Count; pos = (pos + vox_size) % vox_size; conv += vbuf[pos].Value * vker[ik].Value; ksum += vker[ik].Value; } float mean = conv / ksum; // rms // conv = 0; for (int ik = 0; ik < ker_size; ++ik) { pos = index + vker[ik].Count - vker[this->m_KernelData.GetCenterData()].Count; pos = (pos + vox_size) % vox_size; conv += pow((vbuf[pos].Value * vker[ik].Value) - mean , 2); } return conv / (vker.size() - 1) ; } }; } #endif // VOXIMAGEFILTER2NDSTAT_HPP