This is the command cmtk-gmm that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator
PROGRAM:
NAME
gmm - Gaussian mixture model segmentation
SYNOPSIS
gmm InputImage OutputImage PriorImages
DESCRIPTION
Segment an image into c classes using the EM algorithm for Gaussian mixtures with optional
priors.
OPTIONS
Global Toolkit Options (these are shared by all CMTK tools)
--help
Write list of basic command line options to standard output.
--help-all
Write complete list of basic and advanced command line options to standard output.
--wiki
Write list of command line options to standard output in MediaWiki markup.
--man
Write man page source in 'nroff' markup to standard output.
--xml
Write command line syntax specification in XML markup (for Slicer integration).
--version
Write toolkit version to standard output.
--echo
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
--priors-init-only
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).
AUTHORS
Torsten Rohlfing, with contributions from Michael P. Hasak, Greg Jefferis, Calvin R.
Maurer, Daniel B. Russakoff, and Yaroslav Halchenko
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