diffusion_tensors

Compute field of diffusion tensors for edge-preserving smoothing.

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.

Shota Ochi

imager

Image Processing Library Based on 'CImg'

Simon Barthelme

David Tschumperle

Jan Wijffels

Haz Edine Assemlal

diffusion_tensors function

<dl><dt>im</dt>
<dd>an image</dd>
<dt>sharpness</dt>
<dd>Sharpness</dd>
<dt>anisotropy</dt>
<dd>Anisotropy</dd>
<dt>alpha</dt>
<dd>Standard deviation of the gradient blur.</dd>
<dt>sigma</dt>
<dd>Standard deviation of the structure tensor blur.</dd>
<dt>is_sqrt</dt>
<dd>Tells if the square root of the tensor field is computed instead.</dd></dl>

Arguments

Compute field of diffusion tensors for edge-preserving smoothing. — diffusion_tensors

<dl>

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


<dt>sharpness</dt>
<dd>Sharpness</dd>


<dt>anisotropy</dt>
<dd>Anisotropy</dd>


<dt>alpha</dt>
<dd>Standard deviation of the gradient blur.</dd>


<dt>sigma</dt>
<dd>Standard deviation of the structure tensor blur.</dd>


<dt>is_sqrt</dt>
<dd>Tells if the square root of the tensor field is computed instead.</dd>

</dl>

diffusion_tensors: Compute field of diffusion tensors for edge-preserving smoothing.

Description

Usage

Arguments