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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
arts and humanities
Automated classification of starch granules using supervised pattern recognition of morphological properties
Journal of Archaeological Science, Volume 37, No. 3, Year 2010
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Description
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. © 2009 Elsevier Ltd. All rights reserved.
Authors & Co-Authors
Wilson, Julie C.
United Kingdom, York
University of York
Hardy, Karen
Spain, Barcelona
Institució Catalana de Recerca I Estudis Avançats
Allen, Richard Benjamin
United Kingdom, York
University of York
Wrangham, Richard W.
United States, Cambridge
Harvard University
Collins, Matthew J.
United Kingdom, York
University of York
Statistics
Citations: 40
Authors: 5
Affiliations: 4
Identifiers
Doi:
10.1016/j.jas.2009.10.024
ISSN:
03054403
Research Areas
Health System And Policy