mia-3dmaskseeded

Sysnopis:

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

Description:

3D image segmentation based on region growing from a seed point. Neighboring points are added, either when their intensity is equal or higher than that of the seed point, or of the intensity is lower or equal then that of the neighoring point. After region growing is finished, this mask is used to zero out the region in the original image yielding the resulting image.

Options:

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

input image(s) to be filtered. For supported file types see Plugin type: 3dimage/io

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

output image(s) that have been filtered. For supported file types see Plugin type: 3dimage/io

-s, --seed=[0,0,0]; 3dbounds

seed point

-n, --neighborhood=6n; factory

neighborhood shape. For supported plug-ins see Plugin type: 3dimage/shape

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
warning:Warnings
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

Processing

--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).

Example:

Run a region growing on input.v starting at point <10,23,21> and use the 18n neighbourhood.

mia-3dmaskseeded -i image.v -o masked.v -s '<10,23,21>' -n 18n

Author(s):

Gert Wollny