mia-2dsegmentcropbox {-i string} {-o string} [ options ...]


This program is used on a segmentation set and evaluates a bounding box that encloses the segmentation in all slices. This bounding box is then used to crop the original images, correct the segmentation and store a new segmentation set with the cropped images. The cropped images will be of the same type as the original images. If no segmentation is given in the set, the result is undefined.


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

input segmentation set

-p, --override-imagepath

Instead of using the path of the image files as given in the segmentation set, assume the files are located in the current directory

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

output segmentation set

-c, --cropped-base=crop; stringSTRING

Base name for the cropped image files, the file type and numbering will be based on the input image file type and numbering.

-e, --enlarge=5; float

Enlarge the area around the obtained sbounding box by this number of pixels in each direction

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).


Evaluate the optimal cropping for a segmentation set segment.set and enlarge it by 3 pixels. Store the resulting set in the file cropped.set.

mia-2dsegmentcropbox -i segment.set -o cropped.set -e 3


Gert Wollny