mia-2dfuzzysegment - Online in the Cloud

PROGRAM:

NAME

mia-2dfuzzysegment - A fuzzy c-means segmentation of a 2D image

SYNOPSIS

mia-2dfuzzysegment -i <in-file> [options]

DESCRIPTION

mia-2dfuzzysegment 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); io
input image(s) to be segmenetd For supported file types see
PLUGINS:2dimage/io

-c --cls-file=(output); io
output class probability images (floating point values and multi-image) For
supported file types see PLUGINS:2dimage/io

-o --b0-file=(output); io
image corrected for intensity non-uniformity For supported file types see
PLUGINS:2dimage/io

-g --gain-file=(output); io
gain field (floating point valued) For supported file types see
PLUGINS: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 classesnumber of classes

-r --residuum=0.1
relative residuumrelative residuum

--l1=200000
Penalize magnitude of intensity inhomogeinity correctionPenalize magnitude
of intensity inhomogeinity correction

--l2=2e+06
Smoothness of intensity inhomogeinity correctionSmoothness 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).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).

PLUGINS: 2dimage/io

bmp BMP 2D-image input/output support

Recognized file extensions: .BMP, .bmp

Supported element types:
binary data, unsigned 8 bit, unsigned 16 bit

datapool Virtual IO to and from the internal data pool

Recognized file extensions: .@

dicom 2D image io for DICOM

Recognized file extensions: .DCM, .dcm

Supported element types:
signed 16 bit, unsigned 16 bit

exr a 2dimage io plugin for OpenEXR images

Recognized file extensions: .EXR, .exr

Supported element types:
unsigned 32 bit, floating point 32 bit

jpg a 2dimage io plugin for jpeg gray scale images

Recognized file extensions: .JPEG, .JPG, .jpeg, .jpg

Supported element types:
unsigned 8 bit

png a 2dimage io plugin for png images

Recognized file extensions: .PNG, .png

Supported element types:
binary data, unsigned 8 bit, unsigned 16 bit

raw RAW 2D-image output support

Recognized file extensions: .RAW, .raw

Supported element types:
binary data, signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit,
signed 32 bit, unsigned 32 bit, floating point 32 bit, floating point 64
bit

tif TIFF 2D-image input/output support

Recognized file extensions: .TIF, .TIFF, .tif, .tiff

Supported element types:
binary data, unsigned 8 bit, unsigned 16 bit, unsigned 32 bit

vista a 2dimage io plugin for vista images

Recognized file extensions: .V, .VISTA, .v, .vista

Supported element types:
binary data, signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit,
signed 32 bit, unsigned 32 bit, floating point 32 bit, floating point 64
bit

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

COPYRIGHT

This software is Copyright (c) 1999‐2015 Leipzig, Germany and Madrid, Spain. It comes
with ABSOLUTELY NO WARRANTY and you may redistribute it under the terms of the GNU
GENERAL PUBLIC LICENSE Version 3 (or later). For more information run the program with the
option '--copyright'.

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