Diatom classification in ecological applications

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摘要

We apply new contour features: (1) Point features by computing the convexity and curvature in small contour neighborhoods. (2) Segment features by segmenting the contour into convex, concave and straight segments, and computing length and curvature measures for each segment. (3) Global features by computing the mean, maximum and minimum of all point and segment features. Features can be extracted from noisy contours with convex, concave and straight parts, but also from completely convex ones, for the purpose of shape analysis or identification (ID) tasks. Using only four global features, a nearest-mean classifier yielded a perfect ID rate of 100% on diatoms with minute differences in shape, which are difficult to identify even for diatomists.

论文关键词:Contours,Feature extraction,Convexity,Curvature,Bayes classifier

论文评审过程:Received 1 August 2002, Accepted 27 August 2003, Available online 21 January 2004.

论文官网地址:https://doi.org/10.1016/j.patcog.2003.08.018