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Chemometric approach to chromatic spatial variance. Case study: patchiness of the Skyros wall lizard

Brydegaard, Mikkel LU ; Runemark, Anna and Bro, Rasmus (2012) In Journal of Chemometrics 26(6). p.246-255
Abstract
In this paper, we demonstrate how to take advantage of the large number of spatial samples provided by commercial multispectral RGB imagers. We investigate the possibility to use various multidimensional histograms and probability distributions for decomposition and predictive models. We show how these methods can be used in an example using images of different Skyros wall lizards and demonstrate improved performance in prediction of color morph compared with traditional parameterization techniques of spatial variance. Copyright (c) 2012 John Wiley & Sons, Ltd.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
ND histograms, SVD, multivariate regression, RGB, clustering, imaging, image summation, patchiness, spatial variance, texture analysis
in
Journal of Chemometrics
volume
26
issue
6
pages
246 - 255
publisher
Wiley-Blackwell
external identifiers
  • wos:000305510100007
  • scopus:84862842615
ISSN
0886-9383
DOI
10.1002/cem.2444
language
English
LU publication?
yes
id
957fd35c-09b1-45ce-9d0f-80746dea50b6 (old id 2890585)
date added to LUP
2016-04-01 15:02:01
date last changed
2022-01-28 03:43:11
@article{957fd35c-09b1-45ce-9d0f-80746dea50b6,
  abstract     = {{In this paper, we demonstrate how to take advantage of the large number of spatial samples provided by commercial multispectral RGB imagers. We investigate the possibility to use various multidimensional histograms and probability distributions for decomposition and predictive models. We show how these methods can be used in an example using images of different Skyros wall lizards and demonstrate improved performance in prediction of color morph compared with traditional parameterization techniques of spatial variance. Copyright (c) 2012 John Wiley & Sons, Ltd.}},
  author       = {{Brydegaard, Mikkel and Runemark, Anna and Bro, Rasmus}},
  issn         = {{0886-9383}},
  keywords     = {{ND histograms; SVD; multivariate regression; RGB; clustering; imaging; image summation; patchiness; spatial variance; texture analysis}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{246--255}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Journal of Chemometrics}},
  title        = {{Chemometric approach to chromatic spatial variance. Case study: patchiness of the Skyros wall lizard}},
  url          = {{http://dx.doi.org/10.1002/cem.2444}},
  doi          = {{10.1002/cem.2444}},
  volume       = {{26}},
  year         = {{2012}},
}