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

Julie Wilson; Karen Hardy; Richard Allen; Les Copeland; Richard Wrangham; Matthew Collins

doi:10.1016/j.jas.2009.10.024

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

Julie Wilson^*, Karen Hardy, Richard Allen, Les Copeland, Richard Wrangham, Matthew Collins

^*Corresponding author for this work

31 Citations (Scopus)

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.

Original language	English
Journal	Journal of Archaeological Science
Volume	37
Issue number	3
Pages (from-to)	594-604
Number of pages	11
ISSN	0305-4403
DOIs	https://doi.org/10.1016/j.jas.2009.10.024
Publication status	Published - Mar 2010

Keywords

Classification
Image analysis
Starch morphology
Supervised learning

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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.",

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AU - Hardy, Karen

AU - Allen, Richard

AU - Copeland, Les

AU - Wrangham, Richard

AU - Collins, Matthew

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AB - 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.

KW - Classification

KW - Image analysis

KW - Starch morphology

KW - Supervised learning

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ER -

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

Abstract

Keywords

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