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Conference Paper: A hierarchical approach for fast and robust ellipse extraction

TitleA hierarchical approach for fast and robust ellipse extraction
Authors
KeywordsArc segment grouping
Ellipse extraction
Line segment extraction
RANSAC
Issue Date2006
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349
Citation
Proceedings - International Conference On Image Processing, Icip, 2006, v. 5, p. V345-V348 How to Cite?
AbstractThis paper presents a hierarchical approach for fast and robust ellipse extraction from images. At the lowest level, the image is described as a set of edge pixels, from which line segments are extracted. Then, line segments that are potential candidates of elliptic arcs are linked to form arc segments according to connectivity and curvature relations. After that, arc segments that belong to the same ellipse are grouped together. Finally, a robust statistical method, namely RANSAC, is applied to fit ellipses. This method does not need a high dimensional parameter space like Hough Transform based algorithms, and so it reduces the computation and memory requirements. Experiments on both synthetic and real images demonstrate that the proposed method has excellent performance in handling occlusion and overlapping ellipses. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/58810
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorMai, Fen_HK
dc.contributor.authorHung, YSen_HK
dc.contributor.authorZhong, Hen_HK
dc.contributor.authorSze, WFen_HK
dc.date.accessioned2010-05-31T03:37:18Z-
dc.date.available2010-05-31T03:37:18Z-
dc.date.issued2006en_HK
dc.identifier.citationProceedings - International Conference On Image Processing, Icip, 2006, v. 5, p. V345-V348en_HK
dc.identifier.issn1522-4880en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58810-
dc.description.abstractThis paper presents a hierarchical approach for fast and robust ellipse extraction from images. At the lowest level, the image is described as a set of edge pixels, from which line segments are extracted. Then, line segments that are potential candidates of elliptic arcs are linked to form arc segments according to connectivity and curvature relations. After that, arc segments that belong to the same ellipse are grouped together. Finally, a robust statistical method, namely RANSAC, is applied to fit ellipses. This method does not need a high dimensional parameter space like Hough Transform based algorithms, and so it reduces the computation and memory requirements. Experiments on both synthetic and real images demonstrate that the proposed method has excellent performance in handling occlusion and overlapping ellipses. © 2007 IEEE.en_HK
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349en_HK
dc.relation.ispartofProceedings - International Conference on Image Processing, ICIPen_HK
dc.subjectArc segment groupingen_HK
dc.subjectEllipse extractionen_HK
dc.subjectLine segment extractionen_HK
dc.subjectRANSACen_HK
dc.titleA hierarchical approach for fast and robust ellipse extractionen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0031-3203&volume=41, No. 8&spage=2512&epage=2524&date=2008&atitle=A+hierarchical+approach+for+fast+and+robust+ellipse+extractionen_HK
dc.identifier.emailHung, YS:yshung@eee.hku.hken_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICIP.2007.4379836en_HK
dc.identifier.scopuseid_2-s2.0-48149088300en_HK
dc.identifier.hkuros163895en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-48149088300&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume5en_HK
dc.identifier.spageV345en_HK
dc.identifier.epageV348en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridMai, F=12804393400en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.scopusauthoridZhong, H=16178741200en_HK
dc.identifier.scopusauthoridSze, WF=12804326800en_HK

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