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Diatom classification in ecological applications

dc.contributor.authorLoke, R. E.
dc.contributor.authordu Buf, J. M. H.
dc.contributor.authorBayer, M. M.
dc.contributor.authorMann, D. G.
dc.date.accessioned2015-11-04T12:04:37Z
dc.date.available2015-11-04T12:04:37Z
dc.date.issued2004
dc.description.abstractWe 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. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
dc.identifier.doihttps://dx.doi.org/10.1016/j.patcog.2003.08.018
dc.identifier.issn0031-3203
dc.identifier.otherAUT: DUB00865;
dc.identifier.urihttp://hdl.handle.net/10400.1/6976
dc.language.isoeng
dc.peerreviewedyes
dc.publisherPergamon
dc.relation.isbasedonP-000-A97
dc.titleDiatom classification in ecological applications
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1285
oaire.citation.startPage1283
oaire.citation.titlePattern Recognition
oaire.citation.volume37
person.familyNamedu Buf
person.givenNameHans
person.identifier.orcid0000-0002-4345-1237
person.identifier.ridM-5125-2013
person.identifier.scopus-author-id6604075916
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublicationcfad5636-2c77-4db0-a3a0-d7eb97ce6bee
relation.isAuthorOfPublication.latestForDiscoverycfad5636-2c77-4db0-a3a0-d7eb97ce6bee

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