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College of Engineering(공과대학)School of Electrical Engineering(전기및전자공학부)EE-Journal Papers(저널논문)

Automatic edge detection using 3 x 3 ideal binary pixel patterns and fuzzy-based edge thresholding

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dc.contributor.authorKim, DSko
dc.contributor.authorLee, WHko
dc.contributor.authorKweon, In-Soko
dc.date.accessioned2010-11-30T02:38:43Z-
dc.date.available2010-11-30T02:38:43Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2004-01-
dc.identifier.citationPATTERN RECOGNITION LETTERS, v.25, pp.101 - 106-
dc.identifier.issn0167-8655-
dc.identifier.urihttp://hdl.handle.net/10203/20515-
dc.description.abstractAn edge magnitude and direction scheme that uses 3 x 3 ideal binary pixel patterns and a lookup table is described. Final edges are determined automatically using the non-maximum suppression with edge confidence measure and fuzzy-based edge thresholding, even in a changing environment. (C) 2003 Elsevier B.V. All rights reserved.-
dc.description.sponsorshipThis research has been supported by KOTEF grant and NRL of MIST.en
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherELSEVIER SCIENCE BV-
dc.titleAutomatic edge detection using 3 x 3 ideal binary pixel patterns and fuzzy-based edge thresholding-
dc.typeArticle-
dc.identifier.wosid000187554800009-
dc.identifier.scopusid2-s2.0-0344551941-
dc.type.rimsART-
dc.citation.volume25-
dc.citation.beginningpage101-
dc.citation.endingpage106-
dc.citation.publicationnamePATTERN RECOGNITION LETTERS-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKweon, In-So-
dc.contributor.nonIdAuthorKim, DS-
dc.contributor.nonIdAuthorLee, WH-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorideal binary pattern-
dc.subject.keywordAuthoredge confidence measure-
dc.subject.keywordAuthorfuzzy-based edge thresholding-
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