Using the CESM Shell to Classify Wafer Defects from Visual Data

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dc.contributor.authorChi, Sungd-Do-
dc.contributor.authorZeigler, Bernard P.-
dc.contributor.authorKim, Tag-Gon-
dc.date.accessioned2011-03-22T05:31:34Z-
dc.date.available2011-03-22T05:31:34Z-
dc.date.created2012-02-06-
dc.date.issued1989-11-
dc.identifier.citationSPIE 89, v., no., pp.66 - 70-
dc.identifier.urihttp://hdl.handle.net/10203/22879-
dc.description.sponsorshipThe authors thank Prof. R. N. Strickland and Kyeong-Seop Kim for developing the low level image processing methodologies employed here and providing necessary visual data.en
dc.languageENG-
dc.language.isoen_USen
dc.publisherSPIE-
dc.titleUsing the CESM Shell to Classify Wafer Defects from Visual Data-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage66-
dc.citation.endingpage70-
dc.citation.publicationnameSPIE 89-
dc.identifier.conferencecountryUnited States-
dc.identifier.conferencecountryUnited States-
dc.contributor.localauthorKim, Tag-Gon-
dc.contributor.nonIdAuthorChi, Sungd-Do-
dc.contributor.nonIdAuthorZeigler, Bernard P.-

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