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Alternative 2D and 3D Form Characterization Approaches to the Automated Identification of Biological Species
MacLeod, Norman
2010
Abstract
Few have sought to compare the performance of alternative types
of morphological data for biological species identification. This investigation
contrasts results of form characterization via form factors, superposed
landmark coordinates, landmark-registered semilandmark outlines, 3D
semilandmark networks, and raw digital images for a test set of seven Recent
planktonic foraminifer species. While all data types performed better than the
qualitative assessment of morphological variation by human taxonomists,
landmark-registered semilandmark outlines and raw digital images delivered
the best performance in the context of approaches that could reasonably
serve as the basis for fully automated species identification systems.
Publisher
EUT Edizioni Università di Trieste
Source
Norman MacLeod, Alternative 2D and 3D Form Characterization Approaches to the Automated Identification of Biological Species, in Pier Luigi Nimis and Régine Vignes Lebbe (eds.): “Tools for Identifying Biodiversity: Progress and Problems. Proceedings of the International Congress, Paris, September 20-22, 2010”, Trieste, EUT Edizioni Università di Trieste, 2010, pp. 225-229.
Languages
en
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