A method of embedding.
the arithmetic mean of the images; MATLAB’s mean of an embedding
Syntax
m = mean(e)
The mean image of the whole list.
m = mean(e, weights=w)
Weighted, the weights normalised to sum one.
Description
The mean of the images is no image of an orientation; m.orientation() projects it back, the mean orientation, and norm(m, normalized=True) measures the spread. The mean of an empty list is NaN. MATLAB’s mean along a dimension, mean(e, d), has no counterpart here: the mean is always over the whole list.
Input
e |
embedding |
Keywords
| keyword | default | description |
|---|---|---|
weights |
None |
one weight per image |
Output
m |
embedding, a single image |
See also
embedding.orientation, embedding.norm, OrientationEmbeddings
MATLAB’s embedding.mean
source
Citing this page.
This page is part of the documentation of
MTEX, a free and open
source MATLAB toolbox for analyzing and modeling crystallographic textures.
It was written by The MTEX Developers and is published at
https://mtex-toolbox.github.io/embedding.mean_py.html.
If you use MTEX, or reuse text or figures from this page, in your research,
please cite
F. Bachmann, R. Hielscher, H. Schaeben: Texture Analysis with MTEX - Free and Open Source Software Toolbox, Solid State Phenomena 160 (2010), 63-68. 10.4028/www.scientific.net/SSP.160.63
BibTeX
@article{bachmann2010mtex,
author = {F. Bachmann and R. Hielscher and H. Schaeben},
title = {Texture Analysis with MTEX - Free and Open Source Software Toolbox},
journal = {Solid State Phenomena},
volume = {160},
pages = {63-68},
year = {2010},
doi = {10.4028/www.scientific.net/SSP.160.63},
url = {https://doi.org/10.4028/www.scientific.net/SSP.160.63}
}
Other papers describing specific MTEX methods are listed under Publications — please cite the one that best fits your application. The MTEX source code is licensed under the GNU General Public License v2.0; the text and figures of this documentation are licensed under CC BY 4.0, which permits reuse — including by automated systems — provided The MTEX Developers and this page are credited.