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Conference Paper: Local multiple orientations estimation using k-medoids

TitleLocal multiple orientations estimation using k-medoids
Authors
KeywordsImage processing
K-medoids
Local multiple orientations
Issue Date2010
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349
Citation
The 17th IEEE International Conference on Image Processing, Hong Kong, 26-29 September 2010. In Proceedings of the 17th IEEE ICIP, 2010, p. 109-112 How to Cite?
AbstractEstimation of local multiple orientations plays an important role in many image processing and computer vision tasks. It has been shown that the detection of orientations in an image patch corresponds to fitting multiple axes to its Fourier transform. In this paper, k-medoids are introduced to detect local multiple orientations in the Fourier domain. Medoids are related to a well-known matrix eigenvector problem. A hierarchical schema with eigensystem and energy distribution analysis is employed to determine the number of orientations in an image patch. The proposed approach detects two types of orientation structure (ridges and edges) without difference. Experimental results on synthetic and real images show that the proposed method can detect multiple orientations with high accuracy and is robust against noise. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/128749
ISSN
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorKuang, Zen_HK
dc.contributor.authorPan, Gen_HK
dc.contributor.authorWong, KYKen_HK
dc.date.accessioned2010-11-08T01:10:47Z-
dc.date.available2010-11-08T01:10:47Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 17th IEEE International Conference on Image Processing, Hong Kong, 26-29 September 2010. In Proceedings of the 17th IEEE ICIP, 2010, p. 109-112en_HK
dc.identifier.issn1522-4880en_HK
dc.identifier.urihttp://hdl.handle.net/10722/128749-
dc.description.abstractEstimation of local multiple orientations plays an important role in many image processing and computer vision tasks. It has been shown that the detection of orientations in an image patch corresponds to fitting multiple axes to its Fourier transform. In this paper, k-medoids are introduced to detect local multiple orientations in the Fourier domain. Medoids are related to a well-known matrix eigenvector problem. A hierarchical schema with eigensystem and energy distribution analysis is employed to determine the number of orientations in an image patch. The proposed approach detects two types of orientation structure (ridges and edges) without difference. Experimental results on synthetic and real images show that the proposed method can detect multiple orientations with high accuracy and is robust against noise. © 2010 IEEE.en_HK
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349en_HK
dc.relation.ispartofProceedings of the IEEE International Conference on Image Processing, ICIP 2010en_HK
dc.rightsProceedings of the International Conference on Image Processing. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectImage processingen_HK
dc.subjectK-medoidsen_HK
dc.subjectLocal multiple orientationsen_HK
dc.titleLocal multiple orientations estimation using k-medoidsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1522-4880&volume=&spage=109&epage=112&date=2010&atitle=Local+multiple+orientations+estimation+using+K-medoids-
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICIP.2010.5651861en_HK
dc.identifier.scopuseid_2-s2.0-78651073877en_HK
dc.identifier.hkuros183231-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78651073877&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage109en_HK
dc.identifier.epage112en_HK
dc.identifier.isiWOS:000287728000027-
dc.publisher.placeUnited Statesen_HK
dc.description.otherThe 17th IEEE International Conference on Image Processing, Hong Kong, 26-29 September 2010. In Proceedings of the 17th IEEE ICIP, 2010, p. 109-112-
dc.identifier.scopusauthoridKuang, Z=7005702727en_HK
dc.identifier.scopusauthoridPan, G=36844530700en_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK

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