teem-vprobe - Shows off the functionality of the gage library.
teem-vprobe -i <nin> -k <kind> [-v
<verbosity>] -q <query> [-s <sclX \fR
Uses gageProbe() to query various kinds of volumes to learn
various measured or derived quantities. Can set environment variable
TEEM_VPROBE_HACK_ZI to limit probing to a single z slice.
- sclY sxlZ>] [-k00 <kern00>] [-k11 <kern11>] [-k22
<kern22>] [-seed <N>] \ [-ssn <SS #>] [-ssr <scale
range>] [-sss <scale save path>] [-ssw <SS \ pos>]
[-kssblur <kernel>] [-kss <kernel>] [-ssrn <ssrn>]
[-ssu] [-rn] \ [-gmc <min gradmag>] [-t <type>] [-o
<nout>]
- -i <nin> = input volume
- -k <kind> = "kind" of volume ("scalar",
"vector", "tensor", or
- "dwi")
-v <verbosity> = verbosity level (int); default:
"1"
- -q <query> = the quantity (scalar, vector, or matrix) to
learn by
- probing (string)
- -s <sclX sclY sxlZ> =
scaling factor for resampling on each axis (>1.0 :
- supersampling) (3 doubles); default: "1.0 1.0 1.0"
-k00 <kern00> = kernel for gageKernel00; default:
"tent"
-k11 <kern11> = kernel for gageKernel11; default:
"cubicd:1,0"
-k22 <kern22> = kernel for gageKernel22; default:
"cubicdd:1,0"
- -seed <N> = RNG seed; mostly for debugging (unsigned
int);
- default: "42"
- -ssn <SS #> = how many scale-space samples to evaluate, or, 0
to
- turn-off all scale-space behavior (unsigned int); default:
"0"
- -ssr <scale range>
= range of scales in scale-space (2 doubles);
- default: "nan nan"
-sss <scale save path> = give a non-empty path string
(like "./") to save out
- the pre-blurred volumes computed for the stack (string); default:
""
- -ssw <SS pos> =
"world"-space position (true sigma) at which to
- sample in scale-space (double); default: "0"
- -kssblur
<kernel> = blurring kernel, to sample scale space;
- default: "dgauss:1,5"
- -kss <kernel> =
kernel for reconstructing from scale space samples;
- default: "tent"
- -ssrn <ssrn> =
enable derivative normalization based on scale space
- (int); default: "0"
- -ssu = do uniform samples along sigma, and not (by default)
- samples according to the logarithm of diffusion time
- -rn = renormalize kernel weights at each new sample
- location. "Accurate" kernels don't need this; doing it always
makes things go slower
- -gmc <min gradmag>
= For curvature-based queries, use zero when gradient
- magnitude is below this (double); default: "0.0"
- -t <type> = type of output volume (type); default:
"float" -o <nout> = output volume (string);
default: "-"
The full documentation for teem-vprobe is maintained as a
Texinfo manual. If the info and teem-vprobe programs are
properly installed at your site, the command
- info teem-vprobe
should give you access to the complete manual.