Provided by: mia-tools_2.4.6-5build3_amd64 

NAME
mia-2dseriescorr - Evaluate the time-intensity correlation in a series of images.
SYNOPSIS
mia-2dseriescorr -i <in-base> -o <outname> [options]
DESCRIPTION
mia-2dseriescorr 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=(required, input); io
input file name base
For supported file types see PLUGINS:2dimage/io
-o --outname=(required, output); io
output file name to save the avarage per-pixel correlation
For supported file types see PLUGINS:2dimage/io
-z --horizontal=(output); io
horiZontal correlation output file name
For supported file types see PLUGINS:2dimage/io
-t --vertical=(output); io
verTical correlation output file name
For supported file types see PLUGINS:2dimage/io
-k --skip=2
skip images at beginning of series
-e --end=60
last image in series
Help & Info
-V --verbose=warning
verbosity of output, print messages of given level and higher priorities. Supported
priorities starting at lowest level are:
trace ‐ Function call trace
debug ‐ Debug output
info ‐ Low level messages
message ‐ Normal messages
warning ‐ Warnings
fail ‐ Report test failures
error ‐ Report errors
fatal ‐ Report only fatal errors
--copyright
print copyright information
-h --help
print this help
-? --usage
print a short help
--version
print the version number and exit
Processing
--threads=-1
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).
PLUGINS: 2dimage/io
bmp BMP 2D-image input/output support. The plug-in supports reading and writing of binary images
and 8-bit gray scale images. read-only support is provided for 4-bit gray scale images. The
color table is ignored and the pixel values are taken as literal gray scale values.
Recognized file extensions: .BMP, .bmp
Supported element types:
binary data, unsigned 8 bit
datapool Virtual IO to and from the internal data pool
Recognized file extensions: .@
dicom 2D image io for DICOM
Recognized file extensions: .DCM, .dcm
Supported element types:
signed 16 bit, unsigned 16 bit
exr a 2dimage io plugin for OpenEXR images
Recognized file extensions: .EXR, .exr
Supported element types:
unsigned 32 bit, floating point 32 bit
jpg a 2dimage io plugin for jpeg gray scale images
Recognized file extensions: .JPEG, .JPG, .jpeg, .jpg
Supported element types:
unsigned 8 bit
png a 2dimage io plugin for png images
Recognized file extensions: .PNG, .png
Supported element types:
binary data, unsigned 8 bit, unsigned 16 bit
raw RAW 2D-image output support
Recognized file extensions: .RAW, .raw
Supported element types:
binary data, signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit, signed 32 bit,
unsigned 32 bit, floating point 32 bit, floating point 64 bit
tif TIFF 2D-image input/output support
Recognized file extensions: .TIF, .TIFF, .tif, .tiff
Supported element types:
binary data, unsigned 8 bit, unsigned 16 bit, unsigned 32 bit
vista a 2dimage io plugin for vista images
Recognized file extensions: .-, .V, .VISTA, .v, .vista
Supported element types:
binary data, signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit, signed 32 bit,
unsigned 32 bit, floating point 32 bit, floating point 64 bit
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
COPYRIGHT
This software is Copyright (c) 1999‐2015 Leipzig, Germany and Madrid, Spain. It comes with ABSOLUTELY
NO WARRANTY and you may redistribute it under the terms of the GNU GENERAL PUBLIC LICENSE Version 3
(or later). For more information run the program with the option '--copyright'.
USER COMMANDS v2.4.6 mia-2dseriescorr(1)