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

Author:
  • Mikkel Brydegaard
  • Anna Runemark
  • Rasmus Bro
Publishing year: 2012
Language: English
Pages: 246-255
Publication/Series: Journal of Chemometrics
Volume: 26
Issue: 6
Document type: Journal article
Publisher: Wiley-Blackwell

Abstract english

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.

Keywords

  • Atom and Molecular Physics and Optics
  • ND histograms
  • SVD
  • multivariate regression
  • RGB
  • clustering
  • imaging
  • image summation
  • patchiness
  • spatial variance
  • texture analysis

Other

Published
  • ISSN: 0886-9383
Mikkel Brygdegaard
E-mail: mikkel [dot] brydegaard [at] forbrf [dot] lth [dot] se

Associate senior lecturer

Combustion Physics

+46 46 222 76 57

E424

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Centre for Animal Movement Research
Evolutionary Ecology, Department of Biology
Ecology building S-223 62 Lund Sweden