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Conference Paper: Computer vision for industrial inspection through linguistic fuzzy variable inputs

TitleComputer vision for industrial inspection through linguistic fuzzy variable inputs
Authors
Chen, YH
Issue Date1994
Citation
Iecon Proceedings (Industrial Electronics Conference), 1994, v. 2, p. 1349-1353 How to Cite?
AbstractComputer vision systems have been used in a wide range of industrial visual inspection tasks. These applications are successful when problems can be well formulated. This paper describes the implementation of a visual inspection system which formulate the human expertise in terms of fuzzy rules. This method is well applicable when an inspection task can not be numerically defined. Commencing with the basic system introduction, the paper will illustrate a practical application example where IC mark (often in the forms of English characters and a company logo) inspection process is elaborated.
Persistent Identifierhttp://hdl.handle.net/10722/158902

 

DC FieldValueLanguage
dc.contributor.authorChen, YHen_US
dc.date.accessioned2012-08-08T09:04:29Z-
dc.date.available2012-08-08T09:04:29Z-
dc.date.issued1994en_US
dc.identifier.citationIecon Proceedings (Industrial Electronics Conference), 1994, v. 2, p. 1349-1353en_US
dc.identifier.urihttp://hdl.handle.net/10722/158902-
dc.description.abstractComputer vision systems have been used in a wide range of industrial visual inspection tasks. These applications are successful when problems can be well formulated. This paper describes the implementation of a visual inspection system which formulate the human expertise in terms of fuzzy rules. This method is well applicable when an inspection task can not be numerically defined. Commencing with the basic system introduction, the paper will illustrate a practical application example where IC mark (often in the forms of English characters and a company logo) inspection process is elaborated.en_US
dc.languageengen_US
dc.relation.ispartofIECON Proceedings (Industrial Electronics Conference)en_US
dc.titleComputer vision for industrial inspection through linguistic fuzzy variable inputsen_US
dc.typeConference_Paperen_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-s2.0-0028755244en_US
dc.identifier.volume2en_US
dc.identifier.spage1349en_US
dc.identifier.epage1353en_US
dc.identifier.scopusauthoridChen, YH=7601430448en_US

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