Provided by: cmtk_3.3.1p2+dfsg-1build1_amd64
NAME
histogram - Image histogram
SYNOPSIS
histogram [options] image
DESCRIPTION
Create a histogram of image intensities and write as tab-separated text file to standard output
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 --nbins <none>, -n <none> Number of histogram bins (default: number of grey levels) [Default: 0] --normalize, -N Normalize histogram to maximum 1.0 --min <double> User-defined minimum value [Default: disabled] --max <double> User-defined maximum value [Default: disabled] --truncate, -t Truncate histogram (do not enter values outside range into first/last bin) --pad <boolean> Image padding value [Default: disabled] --outfile <string>, -o <string> File name pattern for histograms [Default: NONE] --mask <string>, -m <string> File name for multi-valued mask file [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.