Name

model_gauss - create an image containing a centered Gaussian density distribution

Usage

output = model_gauss(sigma, nx, [ny, nz, ysigma, zsigma, xcenter, ycenter, zcenter] )

Input

sigma

standard deviation of the Gaussian function in pixels

nx

x dimension of the image

ny

y dimension of the image (optional)

nz

z dimension of the image (optional)

ysigma

standard deviation of y dimension, if not given, use sigma(optional)

zsigma

standard deviation of z dimension, if not given, use sigma(optional)

xcenter

center of the model in x dimesion, if not given, use nx/2(optional)

ycenter

center of the model in y dimesion, if not given, use ny/2(optional)

zcenter

center of the model in z dimesion, if not given, use nz/2(optional)

Output

output

the image containing Gaussian function `1/(2 pi sigma) exp[-x^2/(2 sigma^2)]`

• Note: This is NOT a random field.

Author / Maintainer

Pawel A. Penczek

Keywords

category 1

UTILITIES

category 2

SPATIAL

Files

utilities.py

Maturity

stable

works for most people, has been tested; test cases/examples available.

Bugs

None. It is perfect.