mia-3dfuzzysegment

Sysnopis:

mia-3dfuzzysegment {-i io} [ options ...]

Description:

This program runs a combined fuzzy c-means clustering and B-field correction to facilitate a 3D segmentation of 3D image

Options:

-i, --in-file=(input, required); io

input image(s) to be segmenetd. For supported file types see Plugin type: 3dimage/io

-c, --cls-file=(output); io

output class probability images. Note, the used file format must support multible images (best is to use vista). For supported file types see Plugin type: 3dimage/io

-o, --b0-file=(output); io

image corrected for intensity non-uniformity. For supported file types see Plugin type: 3dimage/io

-n, --no-of-classes=3; int

number of classes

-r, --residuum=0.1; float

relative residuum

Help & Info

-V, --verbose=warning; dict

verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:

info:Low level messages
trace:Function call trace
fail:Report test failures
warning:Warnings
error:Report errors
debug:Debug output
message:Normal messages
fatal:Report only fatal errors
--copyright=(); bool

print copyright information

-h, --help=(); bool

print this help

-?, --usage=(); bool

print a short help

--version=(); bool

print the version number and exit

Processing

--threads=-1; int

Maxiumum number of threads to use for processing,This number should be lower or equal to the number of logical processor cores in the machine. (-1: automatic estimation).

Example:

Run a 5-class segmentation over inpt image input.v and store the class probability images in cls.v and the B0-field corrected image in b0.v.

mia-3dfuzzysegment -i input.v -c 5 -o b0.v -c cls.v

Author(s):

Gert Wollny