Chemometric approach to chromatic spatial variance. Case study: patchiness of the Skyros wall lizard
(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:
https://lup.lub.lu.se/record/2890585
- author
- Brydegaard, Mikkel LU ; Runemark, Anna and Bro, Rasmus
- organization
- publishing date
- 2012
- 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}}, }