Automated classification of starch granules using supervised pattern recognition of morphological properties

Wilson, J., Hardy, K. , Allen, R., Copeland, L., Wrangham, R. and Collins, M. (2010) Automated classification of starch granules using supervised pattern recognition of morphological properties. Journal of Archaeological Science, 37(3), pp. 594-604. (doi: 10.1016/j.jas.2009.10.024)

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Abstract

Image analysis techniques have been used to investigate the likelihood of being able to classify and assign a probability regarding the plant origin of individual starch granules in a collection of granules. Quantifiable variables were used to characterize the granules, and the assignments and probabilities were calculated objectively. We consider the classification of images containing granules of a single species and of mixed species and the possibility of assigning a class to granules of unknown species in an image of a slide obtained from the dental calculus of chimpanzees.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hardy, Professor Karen
Authors: Wilson, J., Hardy, K., Allen, R., Copeland, L., Wrangham, R., and Collins, M.
College/School:College of Arts & Humanities > School of Humanities > Archaeology
Journal Name:Journal of Archaeological Science
Publisher:Elsevier
ISSN:0305-4403
ISSN (Online):1095-9238

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