vprobe - Man Page

vprobe -i <nin> -k <kind> [-v <verbosity>] -q <query> [-s <sclX xclY sxlZ>] [-k00 <kern00>] [-k11 <kern11>] [-k22 <kern22>] [-seed <N>] [-ssn <SS #>] [-ssr <scale range>] [-ssrf <SS read format>] [-sssf <SS save format>] [-ssw <SS pos>] [-kssb <kernel>] [-kssr <kernel>] [-ssu] [-sso] [-ssnd] [-rn] [-gmc <min gradmag>] [-ofs] [-t <type>] [-o <nout>]

Shows off the functionality of the gage library. 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.

-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”

-ssrf <SS read format>

printf(3)-style format (including a “%u”) for the filenames from which to read pre-blurred volumes computed for the stack (string); default: “”

-sssf <SS save format>

printf(3)-style format (including a “%u”) for the filenames from which to save 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”

-kssb <kernel>

blurring kernel, to sample scale space; default: “dgauss:1,5”

-kssr <kernel>

kernel for reconstructing from scale space samples “hermite”

-ssu

do uniform samples along sigma, and not (by default) samples according to the effective diffusion scale

-sso

if not using “-ssu”, use pre-computed optimal sigmas when possible

-ssnd

normalize derivatives by scale

-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”

-ofs

If only per-axis spacing is available, use that to contrive full orientation info

-t <type>

type of output volume (type); default: “float”

-o <nout>

output volume (string); default: “-”

TEEM_VPROBE_HACK_ZI

If set, probing is limited to a single z slice.

gprobe(1), ilk(1), miter(1), mrender(1), nrrdSanity(1), overrgb(1), puller(1), tend(1), unu(1)

gprobe(1), ilk(1), miter(1), mrender(1), nrrdSanity(1), overrgb(1), puller(1), tend(1), unu(1).