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levelset - Levelset segmentation


levelset InputImage OutputImage


Levelset-type segmentation of foreground/background using minimum regional variance energy


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).

Main Options
--binarize, -b
Binarize levelset and write as byte mask, rather than write floating-point levelset
function itself.

These parameters control the initialization of the levelset function
--scale-initial-sphere <double>
Scale factor to reduce or increase the size of the initial foreground region sphere.
[Default: 1]

These parameters control the evolution of the levelset function
--iterations <integer>, -n <integer>
Maximum number of iterations [Default: 100]

--force-iterations, -f
Force given number of iterations, even when convergence has been detected

--filter-sigma <double>, -s <double>
Gaussian filter sigma in world coordinate units (e.g., mm) [Default: 2]

--delta <double>, -d <double>
Time constant for levelset evolution; must be > 0; larger is faster [Default: 0.1]

--levelset-threshold <double>, -t <double>
Levelset threshold: levelset function is truncated at +/- this value [Default: 1]

Image/Transformation Database
--db <string>
Path to image/transformation database that should be updated with the newly created
image. [Default: NONE]


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

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