mia-2dsegment-ahmed

Sysnopis:

mia-2dsegment-ahmed {-i io} {-o io} [ options ...]

Description:

This program implements a variation of the paper:Mohamed N. Ahmed et. al, "A Modified Fuzzy C-Means Algorithm for Bias Field estimation and Segmentation of MRI Data", IEEE Trans. on Medical Imaging, Vol. 21, No. 3, March 2002, changes are: p=2, and exp

Options:

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

image to be segmented. For supported file types see Plugin type: 2dimage/io

-o, --out-file=(output,required)

class probability images, the image type must support multiple images and floating point values. For supported file types see Plugin type: 2dimage/io

-a, --no-of-classes=3

number of classes

-b, --bias-correct

apply bias field correction

-c, --class-centres=

initial class centers

-s, --spread=64

spread parameter describing the strength of mattar distinction

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

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.

mia-2dsegment-ahmed -i input.v -a 5 -o cls.v

Author(s):

Gert Wollny