SYNOPSIS

similarity Image0 Image1

DESCRIPTION

Compute similarity measures such as intensity difference or label overlaps between two images.

OPTIONS

Global Toolkit Options (these are shared by all CMTK tools)

--help

Write list of basic command line options to standard output.

--help-all

Write complete list of basic and advanced command line options to standard output.

--wiki

Write list of command line options to standard output in MediaWiki markup.

--man

Write man page source in 'nroff' markup to standard output.

--version

Write toolkit version to standard output.

--echo

Write the current command line to standard output.

--verbose-level <integer>

Set verbosity level.

--verbose, -v

Increment verbosity level by 1 (deprecated; supported for backward compatibility).

--threads <integer>

Set maximum number of parallel threads (for POSIX threads and OpenMP).

Main Options

--outside-bg

Assume voxels outside floating image to be background

--pad0 <double>

Define padding value for reference image [Default: disabled]

--pad1 <double>

Define padding value for floating image [Default: disabled]

--grey, -g

Image pixels are intensities [This is the default]

--labels, -l

Image pixels are labels

--mask <string>, -m <string>

Mask file for optional region-based analysis [Default: NONE]

--force-max <integer>

Force maximum label value [Default: 0]

--histogram-text-file <string>

Output file name for histogram (plain text format). [Default: NONE]

AUTHORS

Torsten Rohlfing, with contributions from Michael P. Hasak, Greg Jefferis, Calvin R. Maurer, Daniel B. Russakoff, and Yaroslav Halchenko

LICENSE

http://www.fsf.org/licensing/licenses/gpl.html

BUGS

Report bugs at http://nitrc.org/projects/cmtk/

ACKNOWLEDGMENTS

CMTK is developed with support from the NIAAA under Grant AA021697, National Consortium on Alcohol and Neurodevelopment in Adolescence (N-CANDA): Data Integration Component. From April 2009 through September 2011, CMTK development and maintenance was supported by the NIBIB under Grant EB008381.