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

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JournalJournal of archaeological science
DatePublished - Mar 2010
Issue number3
Volume37
Number of pages11
Pages (from-to)594-604
Original languageEnglish

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. (C) 2009 Elsevier Ltd. All rights reserved.

    Research areas

  • Starch morphology, Image analysis, Classification, Supervised learning, DENTAL CALCULUS, GRAINS, MAIZE, BP, IDENTIFICATION, AGRICULTURE, ARTIFACTS, PANAMA, DIET

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