mia-2dseriescorr

Sysnopis:

mia-2dseriescorr {-i io} {-o io} [ options ...]

Description:

Given a set of images of temporal sucession, evaluates images that represent the time-intensity correlation in horizontal and vertical direction as well as average correlation of each pixel with its neighbors. All input images must be of the same pixel type and size.

Options:

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

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

-o, --outname=(output, required); io

output file name to save the avarage per-pixel correlation. For supported file types see Plugin type: 2dimage/io

-z, --horizontal=(output); io

horiZontal correlation output file name. For supported file types see Plugin type: 2dimage/io

-t, --vertical=(output); io

verTical correlation output file name. For supported file types see Plugin type: 2dimage/io

-k, --skip=2; ulong

skip images at beginning of series

-e, --end=60; ulong

last image in series

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:

Evaluate the time-intensity correaltions for an image series imageXXXX.png starting at image 2 and stop at image 30. Store the results in horizontal.exr, and vertical.exr.

mia-2dseriescorr -i image0000.png -k 2 -e 30 -z horizontal.exr -t vertical.exr

Author(s):

Gert Wollny