text: /*
    Teem: Tools to process and visualize scientific data and images
    Copyright (C) 2005  Gordon Kindlmann
    Copyright (C) 2004, 2003, 2002, 2001, 2000, 1999, 1998  University of Utah
  
    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 2.1 of the License, or (at your option) any later version.
    The terms of redistributing and/or modifying this software also
    include exceptions to the LGPL that facilitate static linking.
  
    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; if not, write to the Free Software
    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
  */
  
  
  #include "../ten.h"
  
  char *info = ("Test EM bimodal histogram fitting.");
  
  int
  main(int argc, char *argv[]) {
    char *me, *err;
    hestOpt *hopt=NULL;
    airArray *mop;
    Nrrd *nhisto;
    tenEMBimodalParm *biparm;
    double minprob[2];
    
    mop = airMopNew();
    me = argv[0];
  
    biparm = tenEMBimodalParmNew();
    airMopAdd(mop, biparm, (airMopper)tenEMBimodalParmNix, airMopAlways);
  
    hestOptAdd(&hopt, NULL, "histogram", airTypeOther, 1, 1, &nhisto, NULL,
               "The 1-D histogram to analyize", NULL, NULL, nrrdHestNrrd);
    hestOptAdd(&hopt, "ts", "two stage", airTypeInt, 0, 0,
               &(biparm->twoStage), NULL,
               "use two-stage processing");
    hestOptAdd(&hopt, "v", "verbose", airTypeInt, 1, 1, &(biparm->verbose), "1",
               "verbosity level");
    hestOptAdd(&hopt, "mp", "minprob 1,2", airTypeDouble, 2, 2, minprob, "0 0",
               "minimum significant posterior probabilies, for first and "
               "second stages");
    hestParseOrDie(hopt, argc-1, argv+1, NULL,
                   me, info, AIR_TRUE, AIR_TRUE, AIR_TRUE);
    airMopAdd(mop, hopt, (airMopper)hestOptFree, airMopAlways);
    airMopAdd(mop, hopt, (airMopper)hestParseFree, airMopAlways);
    
    biparm->minProb = minprob[0];
    biparm->minProb2 = minprob[1];
  
    if (tenEMBimodal(biparm, nhisto)) {
      airMopAdd(mop, err = biffGetDone(TEN), airFree, airMopAlways);
      fprintf(stderr, "%s: error doing fitting:\n%s", me, err);
      airMopError(mop);
      return 1;
    }
    fprintf(stderr, "%s: bimodal histogram fit\n", me);
    fprintf(stderr, "material 1 (%g%%): mean = %g, stdv = %g\n",
            100*(biparm->fraction1), biparm->mean1, biparm->stdv1);
    fprintf(stderr, "material 2 (%g%%): mean = %g, stdv = %g\n",
            100*(1 - biparm->fraction1), biparm->mean2, biparm->stdv2);
    fprintf(stderr, " ---> optimal threshold = %g (confidence = %g)\n",
            biparm->threshold, biparm->confidence);
  
    airMopOkay(mop);
    return 0;
  }
  
  