mia-2dseriescorr

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’.