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Diatom recognition by convex and concave contour curvature

dc.contributor.authorLoke, R. E.
dc.contributor.authorBayer, M. M.
dc.contributor.authorMann, D. G.
dc.contributor.authordu Buf, J. M. H.
dc.date.accessioned2015-11-04T12:04:33Z
dc.date.available2015-11-04T12:04:33Z
dc.date.issued2002
dc.description.abstractIn 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.
dc.identifier.doihttps://dx.doi.org/ 10.1109/OCEANS.2002.1192012
dc.identifier.isbn0-7803-7534-3
dc.identifier.issn0197-7385
dc.identifier.otherAUT: DUB00865;
dc.identifier.urihttp://hdl.handle.net/10400.1/6961
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation.isbasedonP-000-RPW
dc.titleDiatom recognition by convex and concave contour curvature
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBILOXI, MS
oaire.citation.endPage2465
oaire.citation.startPage2457
oaire.citation.titleMTS/IEEE Oceans 2002 Conference
oaire.citation.volume4
person.familyNamedu Buf
person.givenNameHans
person.identifier.orcid0000-0002-4345-1237
person.identifier.ridM-5125-2013
person.identifier.scopus-author-id6604075916
rcaap.rightsrestrictedAccess
rcaap.typeconferenceObject
relation.isAuthorOfPublicationcfad5636-2c77-4db0-a3a0-d7eb97ce6bee
relation.isAuthorOfPublication.latestForDiscoverycfad5636-2c77-4db0-a3a0-d7eb97ce6bee

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