mia-2dfuzzysegment1
A fuzzy c-means segmentation of a 2d image
Usage
mia-2dfuzzysegment -i
<in-file>
[options]
Overview
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=(required, input); 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:
trace ‐ Function call trace
debug ‐ Debug output
info ‐ Low level messages
message ‐ Normal messages
warning ‐ Warnings
fail ‐ Report test failures
error ‐ Report errors
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).
PLUGINS: 2dimage/io
bmp-
BMP 2D-image input/output support. The plug-in supports reading and writing of binary images and 8-bit gray scale images. read-only support is provided for 4-bit gray scale images. The color table is ignored and the pixel values are taken as literal gray scale values.
Recognized file extensions: .BMP, .bmp
Supported element types:
binary data, unsigned 8 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
Examples
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
Releases
5 releases since Debian 8 (Jessie); the text changed 4 times.