Provided by: cmtk_3.3.1p2+dfsg-2build1_amd64 bug


       gmm - Gaussian mixture model segmentation


       gmm InputImage OutputImage PriorImages


       Segment an image into c classes using the EM algorithm for Gaussian mixtures with optional


   Global Toolkit Options (these are shared by all CMTK tools)
            Write list of basic command line options to standard output.

            Write complete list of basic and advanced command line options to standard output.

            Write list of command line options to standard output in MediaWiki markup.

            Write man page source in 'nroff' markup to standard output.

            Write command line syntax specification in XML markup (for Slicer integration).

            Write toolkit version to standard output.

            Write the current command line to standard output.

       --verbose-level <integer>
            Set verbosity level.

       --verbose, -v
            Increment verbosity level by 1 (deprecated; supported for backward compatibility).

       --threads <integer>
            Set maximum number of parallel threads (for POSIX threads and OpenMP).

   General Classification Parameters
       --mask <string>, -m <string>
            Path to foreground mask image. If this is not provided, the input image  is  used  as
            its  own  mask,  but this does not work properly if the input image itself has pixels
            with zero or negative values.  [Default: NONE]

       --classes <integer>, -c <integer>
            Number of classes.  [Default: 3]

       --iterations <integer>, -n <integer>
            Number of EM iterations.  [Default: 10]

   Handling of Priors
            Use priors for initialization only.

       --prior-epsilon <double>, -e <double>
            Small value to add to all class priors to eliminate zero priors.  [Default: 0]

   Output Parameters
       --probability-maps, -p
            Write probability maps. The file names for these maps  will  be  generated  from  the
            output  image  path by inserting '_prob#' before the file format suffix, where '#' is
            the index of the respective class, numbered starting at 1 (zero is background).


       Torsten Rohlfing, with contributions from Michael  P.  Hasak,  Greg  Jefferis,  Calvin  R.
       Maurer, Daniel B. Russakoff, and Yaroslav Halchenko



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       CMTK is developed with support from the NIAAA under Grant AA021697, National Consortium on
       Alcohol and Neurodevelopment in Adolescence (N-CANDA): Data  Integration  Component.  From
       April  2009  through September 2011, CMTK development and maintenance was supported by the
       NIBIB under Grant EB008381.