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Conference Paper: Performance improvement of edge detection based on edge likelihood index
Title | Performance improvement of edge detection based on edge likelihood index |
---|---|
Authors | |
Keywords | Contour Curvature Edge detection Edge likelihood index Length Receiver operating characteristics |
Issue Date | 2005 |
Publisher | S 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? |
Abstract | One 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 Identifier | http://hdl.handle.net/10722/54029 |
ISSN | 2023 SCImago Journal Rankings: 0.152 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | He, X | en_HK |
dc.contributor.author | Yung, NHC | en_HK |
dc.date.accessioned | 2009-04-03T07:34:55Z | - |
dc.date.available | 2009-04-03T07:34:55Z | - |
dc.date.issued | 2005 | en_HK |
dc.identifier.citation | Proceedings Of Spie - The International Society For Optical Engineering, 2005, v. 5960 n. 3, p. 1664-1673 | en_HK |
dc.identifier.issn | 0277-786X | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/54029 | - |
dc.description.abstract | One 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.language | eng | en_HK |
dc.publisher | S P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml | en_HK |
dc.relation.ispartof | Proceedings of SPIE - The International Society for Optical Engineering | en_HK |
dc.rights | Copyright 2005 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. This article is available online at https://doi.org/10.1117/12.633216 | - |
dc.subject | Contour | en_HK |
dc.subject | Curvature | en_HK |
dc.subject | Edge detection | en_HK |
dc.subject | Edge likelihood index | en_HK |
dc.subject | Length | en_HK |
dc.subject | Receiver operating characteristics | en_HK |
dc.title | Performance improvement of edge detection based on edge likelihood index | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://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+index | en_HK |
dc.identifier.email | Yung, NHC:nyung@eee.hku.hk | en_HK |
dc.identifier.authority | Yung, NHC=rp00226 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1117/12.633216 | en_HK |
dc.identifier.scopus | eid_2-s2.0-32544459536 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-32544459536&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 5960 | en_HK |
dc.identifier.issue | 3 | en_HK |
dc.identifier.spage | 1664 | en_HK |
dc.identifier.epage | 1673 | en_HK |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | He, X=25645571900 | en_HK |
dc.identifier.scopusauthorid | Yung, NHC=7003473369 | en_HK |
dc.identifier.issnl | 0277-786X | - |