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Cited 82 time in webofscience Cited 107 time in scopus
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dc.contributor.authorHAN, JH-
dc.contributor.authorKOCZY, LT-
dc.contributor.authorPOSTON, T-
dc.date.accessioned2016-03-31T14:37:04Z-
dc.date.available2016-03-31T14:37:04Z-
dc.date.created2009-03-18-
dc.date.issued1994-07-
dc.identifier.issn0167-8655-
dc.identifier.other1994-OAK-0000008930-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/21937-
dc.description.abstractTo detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is found in detecting lines and circles.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE BV-
dc.relation.isPartOfPATTERN RECOGNITION LETTERS-
dc.titleFUZZY HOUGH TRANSFORM-
dc.typeArticle-
dc.contributor.college컴퓨터공학과-
dc.identifier.doi10.1016/0167-8655(94)90068-X-
dc.author.googleHAN, JH-
dc.author.googleKOCZY, LT-
dc.author.googlePOSTON, T-
dc.relation.volume15-
dc.relation.startpage649-
dc.relation.lastpage658-
dc.contributor.id10077431-
dc.relation.journalPATTERN RECOGNITION LETTERS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationPATTERN RECOGNITION LETTERS, v.15, no.7, pp.649 - 658-
dc.identifier.wosidA1994NX01400002-
dc.citation.endPage658-
dc.citation.number7-
dc.citation.startPage649-
dc.citation.titlePATTERN RECOGNITION LETTERS-
dc.citation.volume15-
dc.contributor.affiliatedAuthorHAN, JH-
dc.identifier.scopusid2-s2.0-0028464052-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc32-
dc.type.docTypeArticle-
dc.subject.keywordAuthorHOUGH TRANSFORM-
dc.subject.keywordAuthorSHAPE DETECTION-
dc.subject.keywordAuthorFUZZY GEOMETRY-
dc.subject.keywordAuthorFUZZY HOUGH TRANSFORM-
dc.subject.keywordAuthorDISTRIBUTED VOTING-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-

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한준희HAN, JOON HEE
Dept of Computer Science & Enginrg
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