mia-2dsegment-ahmed(1)
Run a fuzzy c-means segmentation of a 2D image.
SYNOPSIS
mia-2dsegment-ahmed -i <in-file> -o <out-file> [options]
DESCRIPTION
mia-2dsegment-ahmed
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); io
-
image to be segmented For supported file types see PLUGINS:2dimage/io
- -o --out-file=(output, required); io
-
class probability images, the image type must support multiple images and floating point values For supported file types see PLUGINS:2dimage/io
- -a --no-of-classes=3
-
number of classesnumber 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 distinctionspread 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).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.
-
- mia-2dsegment-ahmed -i input.v -a 5 -o 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'.