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Article: Computer vision for general purpose visual inspection: a fuzzy logic approach

TitleComputer vision for general purpose visual inspection: a fuzzy logic approach
Authors
Issue Date1995
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/optlaseng
Citation
Optics And Lasers In Engineering, 1995, v. 22 n. 3, p. 181-192 How to Cite?
AbstractIn automatic visual industrial inspection, computer vision systems have been widely used. Such systems are often application specific, and therefore require domain knowledge in order to have a successful implementation. Since visual inspection can be viewed as a decision making process, it is argued that the integration of fuzzy logic analysis and computer vision systems provides a practical approach to general purpose visual inspection applications. This paper describes the development of an integrated fuzzy-rule-based automatic visual inspection system. Domain knowledge about a particular application is represented as a set of fuzzy rules. From the status of predefined fuzzy variables, the set of fuzzy rules are defuzzified to give the inspection results. A practical application where IC marks (often in the forms of English characters and a company logo) inspection is demonstrated, which shows a more consistent result as compared to a conventional thresholding method. © 1995.
Persistent Identifierhttp://hdl.handle.net/10722/156420
ISSN
2015 Impact Factor: 2.319
2015 SCImago Journal Rankings: 1.202

 

DC FieldValueLanguage
dc.contributor.authorChen, YHen_US
dc.date.accessioned2012-08-08T08:42:21Z-
dc.date.available2012-08-08T08:42:21Z-
dc.date.issued1995en_US
dc.identifier.citationOptics And Lasers In Engineering, 1995, v. 22 n. 3, p. 181-192en_US
dc.identifier.issn0143-8166en_US
dc.identifier.urihttp://hdl.handle.net/10722/156420-
dc.description.abstractIn automatic visual industrial inspection, computer vision systems have been widely used. Such systems are often application specific, and therefore require domain knowledge in order to have a successful implementation. Since visual inspection can be viewed as a decision making process, it is argued that the integration of fuzzy logic analysis and computer vision systems provides a practical approach to general purpose visual inspection applications. This paper describes the development of an integrated fuzzy-rule-based automatic visual inspection system. Domain knowledge about a particular application is represented as a set of fuzzy rules. From the status of predefined fuzzy variables, the set of fuzzy rules are defuzzified to give the inspection results. A practical application where IC marks (often in the forms of English characters and a company logo) inspection is demonstrated, which shows a more consistent result as compared to a conventional thresholding method. © 1995.en_US
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/optlasengen_US
dc.relation.ispartofOptics and Lasers in Engineeringen_US
dc.titleComputer vision for general purpose visual inspection: a fuzzy logic approachen_US
dc.typeArticleen_US
dc.identifier.emailChen, YH:yhchen@hkucc.hku.hken_US
dc.identifier.authorityChen, YH=rp00099en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0029231832en_US
dc.identifier.volume22en_US
dc.identifier.issue3en_US
dc.identifier.spage181en_US
dc.identifier.epage192en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridChen, YH=7601430448en_US

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