Feature extraction in shape recognition using segmentation of the boundary curve

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dc.authorid0000-0002-1807-5954
dc.authorid0000-0001-7328-6626
dc.contributor.authorÖzuğur, Timuçinen_US
dc.contributor.authorDenizhan, Yağmuren_US
dc.contributor.authorPanayırcı, Erdalen_US
dc.date.accessioned2015-01-10T17:09:25Z
dc.date.available2015-01-10T17:09:25Z
dc.date.issued1997-10
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractWe present a new method for feature extraction of two-dimensional shape information based on segmentation of the boundary curve. This approach partitions closed shapes into segments and finds their angular spans. The number of segments and the angular spans form the first two feature parameters of a given shape. Fourier coefficients of all segments constitute the final feature parameters. The algorithm renders the shapes independent of scale, rotation and translation, The main advantage of this method is to speed up substantially the recognition process of the shapes, mainly because it is possible to design the classification rule in a hierarchical way. It is therefore suitable for objects to be sorted in a factory environment where the silhouette boundary supplies sufficient information for identification.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationÖzuğur, T., Denizhan, Y. & Panayırcı, E. (1997). Feature extraction in shape recognition using segmentation of the boundary curve. Pattern Recognition Letters, 18(10), 1049-1056. doi:10.1016/S0167-8655(97)00129-3en_US
dc.identifier.doi10.1016/S0167-8655(97)00129-3
dc.identifier.endpage1056
dc.identifier.issn0167-8655
dc.identifier.issue10
dc.identifier.scopus2-s2.0-0031247238
dc.identifier.scopusqualityQ1
dc.identifier.startpage1049
dc.identifier.urihttps://hdl.handle.net/11729/71
dc.identifier.urihttp://dx.doi.org/10.1016/S0167-8655(97)00129-3
dc.identifier.volume18
dc.identifier.wosWOS:000071648900010
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorPanayırcı, Erdalen_US
dc.institutionauthorid0000-0001-7328-6626
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevier Science BVen_US
dc.relation.ispartofPattern Recognition Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectShape recognitionen_US
dc.subjectBoundary curve segmentationen_US
dc.subjectFourier descriptorsen_US
dc.subjectAutoregressive modelen_US
dc.subjectClassificationen_US
dc.subjectAlgorithmsen_US
dc.subjectAnti-aliasingen_US
dc.subjectFeature extractionen_US
dc.subjectFourier transformsen_US
dc.subjectImage analysisen_US
dc.subjectImage segmentationen_US
dc.subjectObject recognitionen_US
dc.titleFeature extraction in shape recognition using segmentation of the boundary curveen_US
dc.typeArticleen_US
dspace.entity.typePublication

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