mia-2ddistance {-i io} {-d io} {-o string} [ options ...]


This program evaluate the average or maximum distance of a mask given by a binary image to an image representing a distance map and prints the result to stdout. The distance map can be obtained by running the filter 'diatance' on a binary image.


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

input image. For supported file types see Plugin type: 2dimage/io

-d, --distance-file=(input, required); io

distance field image (floating point). For supported file types see Plugin type: 2dimage/io

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

output file, '-': write to stdout

-s, --scale=1; float

distance scaling factor

-m, --method=avg; dict

distance measuring method

avg:use average
max:use maximum
raw:collect raw values as vector

Help & Info

-V, --verbose=warning; dict

verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:

debug:Debug output
message:Normal messages
info:Low level messages
error:Report errors
fatal:Report only fatal errors
trace:Function call trace
fail:Report test failures
--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).


Evaluate the maximum distance of mask m.v by using the distance field distance.v and scale by factor 2.0. The result is written to stdout

mia-2ddistance -i m.v -d distance.v -s 2.0 -m max


Gert Wollny