mia-2dfuzzysegment

Sysnopis:

mia-2dfuzzysegment {-i io} [ options ...]

Description:

This program runs a combined fuzzy c-means clustering and B-field correction to facilitate a fuzzy segmentation of 2D image. cf D.L. Pham and J.L.Prince, "An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities", Pat. Rec. Let., 20:57-68,1999

Options:

File-IO

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

input image(s) to be segmenetd. For supported file types see Plugin type: 2dimage/io

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

output class probability images (floating point values and multi-image). For supported file types see Plugin type: 2dimage/io

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

image corrected for intensity non-uniformity. For supported file types see Plugin type: 2dimage/io

-g, --gain-file=(output)

gain field (floating point valued). For supported file types see Plugin type: 2dimage/io

Help & Info

-V, --verbose=warning

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

print copyright information

-h, --help

print this help

-?, --usage

print a short help

--version

print the version number and exit

Parameters

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

number of classes

-r, --residuum=0.1

relative residuum

--l1=200000

Penalize magnitude of intensity inhomogeinity correction

--l2=2e+06

Smoothness of intensity inhomogeinity correction

Processing

--threads=-1

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 input image input.v and store the class probability images in cls.v and the B0-field corrected image in b0.v.

mia-2dfuzzysegment -i input.v -c 5 -o b0.v -c cls.v

Author(s):

Gert Wollny