get_gradient

Fast image processing for images in up to 4 dimensions (two spatial
dimensions, one time/depth dimension, one colour dimension). Provides most
traditional image processing tools (filtering, morphology, transformations,
etc.) as well as various functions for easily analysing image data using R. The
package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image
processing.

Aaron Robotham

imager

Image Processing Library Based on 'CImg'

Simon Barthelme

David Tschumperle

Jan Wijffels

Haz Edine Assemlal

Shota Ochi

Rodrigo Tobar

get_gradient function

<dl><dt>im</dt>
<dd>an image</dd>
<dt>axes</dt>
<dd>Axes considered for the gradient computation, as a C-string (e.g "xy").</dd>
<dt>scheme</dt>
<dd>= Numerical scheme used for the gradient computation:
1 = Backward finite differences
0 = Centered finite differences
1 = Forward finite differences
2 = Using Sobel masks
3 = Using rotation invariant masks
4 = Using Deriche recursive filter.
5 = Using Van Vliet recursive filter.</dd></dl>

Arguments

Compute image gradient. — get_gradient

<dl>

<dt>im</dt>
<dd>an image</dd>


<dt>axes</dt>
<dd>Axes considered for the gradient computation, as a C-string (e.g "xy").</dd>


<dt>scheme</dt>
<dd>= Numerical scheme used for the gradient computation:
1 = Backward finite differences
0 = Centered finite differences
1 = Forward finite differences
2 = Using Sobel masks
3 = Using rotation invariant masks
4 = Using Deriche recursive filter.
5 = Using Van Vliet recursive filter.</dd>

</dl>

Compute image gradient.

get_gradient: Compute image gradient.

Description

Usage

Value

Arguments

See Also