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.
input file name base. For supported file types see Plugin type: 2dimage/io
output file name to save the avarage per-pixel correlation. For supported file types see Plugin type: 2dimage/io
horiZontal correlation output file name. For supported file types see Plugin type: 2dimage/io
verTical correlation output file name. For supported file types see Plugin type: 2dimage/io
skip images at beginning of series
last image in series
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|
|fatal:||Report only fatal errors|
print copyright information
print this help
print a short help
print the version number and exit
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 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