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Conference Paper: Performance improvement of edge detection based on edge likelihood index

TitlePerformance improvement of edge detection based on edge likelihood index
Authors
KeywordsContour
Curvature
Edge detection
Edge likelihood index
Length
Receiver operating characteristics
Issue Date2005
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
Citation
Proceedings Of Spie - The International Society For Optical Engineering, 2005, v. 5960 n. 3, p. 1664-1673 How to Cite?
AbstractOne of the problems of conventional edge detectors is the difficulty in distinguishing noise and true edges correctly using a simple measurement, such as gradient, local energy, or phase congruency. This paper proposes a performance improvement algorithm for edge detection based on a composite measurement called Edge Likelihood Index (ELI). In principle, given a raw edge map obtained from any edge detectors, edge contours can be extracted where gradient, continuity and smoothness of each contour are measured. The ELI of an edge contour is defined as directly proportional to its gradient and length, and inversely proportional to its smoothness, which offers a more flexible representation of true edges, such as those with low gradient, but continuous and smooth. The proposed method was tested on the South Florida data sets, using the Canny edge operator for edge detection, and evaluated using the Receiver Operator Characteristic curves. It can be shown that the proposed method reduces Bayes risk of ROC curves by over 10% in the aggregate test results.
Persistent Identifierhttp://hdl.handle.net/10722/54029
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorHe, Xen_HK
dc.contributor.authorYung, NHCen_HK
dc.date.accessioned2009-04-03T07:34:55Z-
dc.date.available2009-04-03T07:34:55Z-
dc.date.issued2005en_HK
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 2005, v. 5960 n. 3, p. 1664-1673en_HK
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/54029-
dc.description.abstractOne of the problems of conventional edge detectors is the difficulty in distinguishing noise and true edges correctly using a simple measurement, such as gradient, local energy, or phase congruency. This paper proposes a performance improvement algorithm for edge detection based on a composite measurement called Edge Likelihood Index (ELI). In principle, given a raw edge map obtained from any edge detectors, edge contours can be extracted where gradient, continuity and smoothness of each contour are measured. The ELI of an edge contour is defined as directly proportional to its gradient and length, and inversely proportional to its smoothness, which offers a more flexible representation of true edges, such as those with low gradient, but continuous and smooth. The proposed method was tested on the South Florida data sets, using the Canny edge operator for edge detection, and evaluated using the Receiver Operator Characteristic curves. It can be shown that the proposed method reduces Bayes risk of ROC curves by over 10% in the aggregate test results.en_HK
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xmlen_HK
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_HK
dc.rightsS P I E - the International Society for Optical Proceedings. Copyright © S P I E - International Society for Optical Engineering.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsCopyright 2005 Society of Photo-Optical Instrumentation Engineers.This paper was published in S P I E Conference on Visual Communications and Image Processing 2005, Beijing, China, 12-15 July 2005, v. 5960, p. 59604W-1 - 59604W-9 and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may bemade for personal use only. Systematic or multiple reproduction, distribution to multiple locations viaelectronic or other means, duplication of any material in this paper for a fee or for commercial purposes,or modification of the content of the paper are prohibited.en_HK
dc.subjectContouren_HK
dc.subjectCurvatureen_HK
dc.subjectEdge detectionen_HK
dc.subjectEdge likelihood indexen_HK
dc.subjectLengthen_HK
dc.subjectReceiver operating characteristicsen_HK
dc.titlePerformance improvement of edge detection based on edge likelihood indexen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-786X&volume=5960&spage=59604W&epage=1 &date=2005&atitle=Performance+improvement+of+edge+detection+based+on+edge+likelihood+indexen_HK
dc.identifier.emailYung, NHC:nyung@eee.hku.hken_HK
dc.identifier.authorityYung, NHC=rp00226en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1117/12.633216en_HK
dc.identifier.scopuseid_2-s2.0-32544459536en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-32544459536&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume5960en_HK
dc.identifier.issue3en_HK
dc.identifier.spage1664en_HK
dc.identifier.epage1673en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridHe, X=25645571900en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK

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