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median_filter_cxx_module.cc

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  • median_filter_cxx_module.cc 2.59 KiB
    /*
     *  This file is part of Healpix_cxx.
     *
     *  Healpix_cxx is free software; you can redistribute it and/or modify
     *  it under the terms of the GNU General Public License as published by
     *  the Free Software Foundation; either version 2 of the License, or
     *  (at your option) any later version.
     *
     *  Healpix_cxx 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 General Public License for more details.
     *
     *  You should have received a copy of the GNU General Public License
     *  along with Healpix_cxx; if not, write to the Free Software
     *  Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
     *
     *  For more information about HEALPix, see http://healpix.sourceforge.net
     */
    
    /*
     *  Healpix_cxx is being developed at the Max-Planck-Institut fuer Astrophysik
     *  and financially supported by the Deutsches Zentrum fuer Luft- und Raumfahrt
     *  (DLR).
     */
    
    /*
     *  Copyright (C) 2005-2012 Max-Planck-Society
     *  Author: Martin Reinecke
     */
    
    #include "healpix_map.h"
    #include "healpix_map_fitsio.h"
    #include "fitshandle.h"
    #include "levels_facilities.h"
    #include "lsconstants.h"
    #include "announce.h"
    #include "string_utils.h"
    
    using namespace std;
    
    namespace {
    
    template<typename Iterator> typename iterator_traits<Iterator>::value_type
      median(Iterator first, Iterator last)
      {
      Iterator mid = first+(last-first-1)/2;
      nth_element(first,mid,last);
      if ((last-first)&1) return *mid;
      return typename iterator_traits<Iterator>::value_type
        (0.5*((*mid)+(*min_element(mid+1,last))));
      }
    
    } // unnamed namespace
    
    int median_filter_cxx_module (int argc, const char **argv)
      {
      module_startup ("median_filter_cxx", argc, argv, 4,
                      "<input map> <output map> <radius in arcmin>");
    
      double radius = stringToData<double>(argv[3])*arcmin2rad;
    
      Healpix_Map<float> inmap;
      read_Healpix_map_from_fits(argv[1],inmap,1,2);
      Healpix_Map<float> outmap (inmap.Nside(), inmap.Scheme(), SET_NSIDE);
    
      rangeset<int> pixset;
      vector<float> list;
      for (int m=0; m<inmap.Npix(); ++m)
        {
        inmap.query_disc(inmap.pix2ang(m),radius,pixset);
        list.resize(pixset.nval());
        tsize cnt=0;
        for (tsize j=0; j<pixset.nranges(); ++j)
          for (int i=pixset.ivbegin(j); i<pixset.ivend(j); ++i)
            if (!approx(inmap[i],float(Healpix_undef)))
              list[cnt++] = inmap[i];
        outmap[m] = (cnt>0) ? median(list.begin(),list.begin()+cnt)
                            : Healpix_undef;
        }
    
      write_Healpix_map_to_fits (argv[2],outmap,PLANCK_FLOAT32);
    
      return 0;
      }