Automated Classification of Starch Granules Using Supervised Pattern Recognition of Morphological Properties
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CitationWilson, Julie, Karen Hardy, Richard Allen, Les Copeland, Richard Wrangham, and Matthew Collins. 2010. Automated classification of starch granules using supervised pattern recognition of morphological properties. Journal of Archaelogical Science 37(3): 594-604.
AbstractImage 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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