Automated Classification of Starch Granules Using Supervised Pattern Recognition of Morphological Properties
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Automated Classification of Starch Granules Using Supervised Pattern Recognition of Morphological Properties
| Title: | Automated Classification of Starch Granules Using Supervised Pattern Recognition of Morphological Properties |
| Author: |
Wilson, Julie; Hardy, Karen; Allen, Richard; Copeland, Les; Wrangham, Richard W.; Collins, Matthew
Note: Order does not necessarily reflect citation order of authors. |
| Citation: | Wilson, 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. |
| Full Text & Related Files: |
Wilson starch_12.10.09 DASH.doc (5.234Mb; Microsoft Word) 
Wilson_starch.pdf (740.9Kb; PDF) 
|
| 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. |
| Published Version: | doi:10.1016/j.jas.2009.10.024 |
| Terms of Use: | This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP |
| Citable link to this page: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:5347703 |
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FAS Scholarly Articles [5128]
Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
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