mia-3dcrispsegment {-i io} {-o io} [ options ...]


This program creates a label image from a fuzzy segmentation. or each pixel the label is set to the class with the higest probability plus a given offset


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

input class file, should contain multiple images with tissue class probabilities. For supported file types see Plugin type: 3dimage/io

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

output class label image. For supported file types see Plugin type: 3dimage/io

-l, --label-offset=1; uint

label offset

Help & Info

-V, --verbose=warning; dict

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
error:Report errors
debug:Debug output
message:Normal messages
fatal:Report only fatal errors
--copyright=(); bool

print copyright information

-h, --help=(); bool

print this help

-?, --usage=(); bool

print a short help

--version=(); bool

print the version number and exit


--threads=-1; int

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).


Set the labels based on the input class probability file cls.v adding the offset 2 to each label and save the result to labeled.v.

mia-3dcrispsegment -i cls.v -o labeled.v -l 2


Gert Wollny