Diatom recognition by convex and concave contour curvature

Loke, R. E.; Bayer, M. M.; Mann, D. G.; du Buf, J. M. H.

http://hdl.handle.net/10400.1/6961

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
Diatom recognition by convex and concave contour curvature.pdf		1.19 MB	Adobe PDF	Download

Send Feedback

Authors

Abstract(s)

In this paper we describe a new contour feature set. A contour is segmented into convex, concave and straight segments, after which length and curvature features are computed. A symmetry analysis allows the detection of the number of elementary segments. Results on two contour test sets were obtained: Using only four features, a simple nearest-mean classifier yielded a perfect identification (ID) rate of 100% on a small set consisting of shapes with minute differences, which are difficult to identify even for human experts. Using 10 features, it yielded 83.5% on a large set with very diverse shapes.