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- Publisher Website: 10.1016/j.patcog.2008.01.027
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Article: A hierarchical approach for fast and robust ellipse extraction
Title | A hierarchical approach for fast and robust ellipse extraction |
---|---|
Authors | |
Keywords | Arc Segments Ellipse Extraction Elliptic Arcs Ransac |
Issue Date | 2008 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pr |
Citation | Pattern Recognition, 2008, v. 41 n. 8, p. 2512-2524 How to Cite? |
Abstract | This 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 conditions. Next, arc segments that belong to the same ellipse are grouped together. Finally, a robust statistical method, namely RANSAC, is applied to fit ellipses to groups of arc segments. Unlike Hough Transform based algorithms, this method does not need a high dimensional parameter space, and so it reduces the computation and storage requirements. Experiments on both synthetic and real images demonstrate that the proposed method has excellent performance in handling occlusion and overlapping ellipses. © 2008 Elsevier Ltd. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/155458 |
ISSN | 2023 Impact Factor: 7.5 2023 SCImago Journal Rankings: 2.732 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mai, F | en_US |
dc.contributor.author | Hung, YS | en_US |
dc.contributor.author | Zhong, H | en_US |
dc.contributor.author | Sze, WF | en_US |
dc.date.accessioned | 2012-08-08T08:33:36Z | - |
dc.date.available | 2012-08-08T08:33:36Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.citation | Pattern Recognition, 2008, v. 41 n. 8, p. 2512-2524 | en_US |
dc.identifier.issn | 0031-3203 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/155458 | - |
dc.description.abstract | This 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 conditions. Next, arc segments that belong to the same ellipse are grouped together. Finally, a robust statistical method, namely RANSAC, is applied to fit ellipses to groups of arc segments. Unlike Hough Transform based algorithms, this method does not need a high dimensional parameter space, and so it reduces the computation and storage requirements. Experiments on both synthetic and real images demonstrate that the proposed method has excellent performance in handling occlusion and overlapping ellipses. © 2008 Elsevier Ltd. All rights reserved. | en_US |
dc.language | eng | en_US |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pr | en_US |
dc.relation.ispartof | Pattern Recognition | en_US |
dc.subject | Arc Segments | en_US |
dc.subject | Ellipse Extraction | en_US |
dc.subject | Elliptic Arcs | en_US |
dc.subject | Ransac | en_US |
dc.title | A hierarchical approach for fast and robust ellipse extraction | en_US |
dc.type | Article | en_US |
dc.identifier.email | Hung, YS:yshung@eee.hku.hk | en_US |
dc.identifier.authority | Hung, YS=rp00220 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1016/j.patcog.2008.01.027 | en_US |
dc.identifier.scopus | eid_2-s2.0-42749089541 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-42749089541&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 41 | en_US |
dc.identifier.issue | 8 | en_US |
dc.identifier.spage | 2512 | en_US |
dc.identifier.epage | 2524 | en_US |
dc.identifier.eissn | 1873-5142 | - |
dc.identifier.isi | WOS:000256515100008 | - |
dc.publisher.place | Netherlands | en_US |
dc.identifier.scopusauthorid | Mai, F=12804393400 | en_US |
dc.identifier.scopusauthorid | Hung, YS=8091656200 | en_US |
dc.identifier.scopusauthorid | Zhong, H=16178741200 | en_US |
dc.identifier.scopusauthorid | Sze, WF=12804326800 | en_US |
dc.identifier.citeulike | 3835867 | - |
dc.identifier.issnl | 0031-3203 | - |