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Chemometric approach to chromatic spatial variance. Case study: patchiness of the Skyros wall lizard
Author(s) -
Brydegaard Mikkel,
Runemark Anna,
Bro Rasmus
Publication year - 2012
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.2444
Subject(s) - variance (accounting) , rgb color model , multispectral image , computer science , artificial intelligence , chromatic scale , histogram , spatial analysis , pattern recognition (psychology) , mathematics , statistics , image (mathematics) , accounting , combinatorics , business
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 © 2012 John Wiley & Sons, Ltd.