diff --git a/progs/mincstats/mincstats.man1 b/progs/mincstats/mincstats.man1 index ebea2486..dd77a3bf 100644 --- a/progs/mincstats/mincstats.man1 +++ b/progs/mincstats/mincstats.man1 @@ -1,4 +1,3 @@ -.\" Hey, EMACS: -*- nroff -*- .\" Copyright 2001 Peter Neelin, McConnell Brain Imaging Centre, .\" Montreal Neurological Institute, McGill University. .\" Permission to use, copy, modify, and distribute this @@ -9,8 +8,6 @@ .\" software for any purpose. It is provided "as is" without .\" express or implied warranty. .\" -.\" $Header: /private-cvsroot/minc/progs/mincstats/mincstats.man1,v 1.5 2004-05-20 21:52:09 bert Exp $ -.\" .TH MINCSTATS 1 "$Date: 2004-05-20 21:52:09 $" "" "MINC User's Guide" .SH NAME @@ -59,7 +56,9 @@ discretization. .SH OPTIONS Note that options can be specified in abbreviated form (as long as -they are unique) and can be given anywhere on the command line. +they are unique) and can be given anywhere on the command line. The order +in which the statistics are printed will be always the same irrespective +or the order in which they are requested on the command line .SH General options .TP @@ -137,7 +136,7 @@ describing each histogram is written before it in lines starting with the hash (pound) character. These files can be loaded into gnuplot. .TP \fB\-hist_bins\fR \fInumber-of-bins\fR -Specify number of bins in histogram. +Specify the number of bins in the histogram. .TP \fB-bins\fR \fInumber-of-bins\fR Synonym for \fB\-hist_bins\fR. @@ -221,6 +220,12 @@ Print the variance. \fB\-stddev\fR Print the standard deviation. .TP +\fB\-skewness\fR +Print the sample skewness (3rd moment) . +.TP +\fB\-kurtosis\fR +Print the sample kurtosis (4th moment) . +.TP \fB\-CoM\fR Print the centre of mass. Both the voxel coordinate and the world coordinates are printed. The voxel coordinates are printed in file @@ -257,9 +262,30 @@ Print the histogram median. Print the bin centre (intensity value) for the bin with the most counts. .TP \fB\-biModalT\fR -Print the bi-modal threshold calculated using the method described in -Otsu N, "A Threshold Selection Method from Grey-level Histograms", -IEEE Trans on Systems, Man and Cybernetics. 1979, 9:1; 62-66. +Print the bi-modal threshold separating the volume into two classes +The default is to use the otsu method (see options below) +.TP +\fB\-otsu\fR +Use the method described in Otsu N, "A Threshold Selection Method +from Grey-level Histograms", IEEE Trans on Systems, Man and Cybernetics. +1979, 9:1; 62-66 to calculate the threshold +.TP +\fB\-kittler\fR +Use the Kittler&Illingworth '86 algorithm to calculate the for bimodal +threshold. Kittler, J. & Illingworth J., "Minimum error thresholding", +Pattern Recognition, vol 19, pp 41-47, 1986. +.TP +\fB\-kapur\fR +Use the Kapur et al. '85 algorithm to calculate the bimodal threshold. +Kapur, Sahoo & Wong "A new method for Gray-level picture thresholding +using the entropy of the histogram", Computer Vision, Graphics, and +Image Processing, vol 29, pp 273-285, 1985. +.TP +\fB\-simple\fR +Use simple mean-of-means algorithm to calculate the bimodal threshold +This is more computationally expensive than some of the alternatives, +and doesn't seem to do a great job. But it does seem more robust than +some of the other methods. .TP \fB\-pctT\fR Print the threshold needed for a particular critical percentage of the