A two-step circle detection algorithm from the intersecting chords

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dc.contributor.authorKim, HSko
dc.contributor.authorKim, Jong-Hwanko
dc.date.accessioned2009-09-25T04:49:01Z-
dc.date.available2009-09-25T04:49:01Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2001-05-
dc.identifier.citationPATTERN RECOGNITION LETTERS, v.22, no.6-7, pp.787 - 798-
dc.identifier.issn0167-8655-
dc.identifier.urihttp://hdl.handle.net/10203/11511-
dc.description.abstractThis paper proposes a two-step circle detection algorithm using pairs of chords. It is shown how a pair of two intersecting chords locates the center of the circle. Based on this idea, in the first step, a 2D Hough transform (HT) method is employed to find the centers of the circles in the image. In the second step, a 1D radius histogram is used to compute the radii. The experimental results demonstrate that the proposed method can detect the circles effectively. (C) 2001 Elsevier Science B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherELSEVIER SCIENCE BV-
dc.subjectHOUGH TRANSFORM-
dc.subjectLOCATION-
dc.subjectSYMMETRY-
dc.subjectELLIPSES-
dc.subjectARRAY-
dc.titleA two-step circle detection algorithm from the intersecting chords-
dc.typeArticle-
dc.identifier.wosid000168354200020-
dc.identifier.scopusid2-s2.0-0035337005-
dc.type.rimsART-
dc.citation.volume22-
dc.citation.issue6-7-
dc.citation.beginningpage787-
dc.citation.endingpage798-
dc.citation.publicationnamePATTERN RECOGNITION LETTERS-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, Jong-Hwan-
dc.contributor.nonIdAuthorKim, HS-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorcircle detection-
dc.subject.keywordAuthorchord-
dc.subject.keywordAuthorHough transform-
dc.subject.keywordAuthorradius histogram-
dc.subject.keywordPlusHOUGH TRANSFORM-
dc.subject.keywordPlusLOCATION-
dc.subject.keywordPlusSYMMETRY-
dc.subject.keywordPlusELLIPSES-
dc.subject.keywordPlusARRAY-
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