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dc.contributor.authorLee, YGen_US
dc.contributor.authorHsueh, YCen_US
dc.date.accessioned2014-12-08T15:02:31Z-
dc.date.available2014-12-08T15:02:31Z-
dc.date.issued1996-07-01en_US
dc.identifier.issn1017-9909en_US
dc.identifier.urihttp://hdl.handle.net/11536/1181-
dc.description.abstractThis study investigates a new approach to removing noise that preserves the fine details which are based on combination of mathematical morphology and fuzzy reasoning. We extract some features from an image using mathematical morphology, then input these features, and the image itself into fuzzy-rule-based systems to produce a more graceful image. (C) 1996 SPIE and IS&T.en_US
dc.language.isoen_USen_US
dc.titleDetail-preserving smoothing with morphology and fuzzy reasoningen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF ELECTRONIC IMAGINGen_US
dc.citation.volume5en_US
dc.citation.issue3en_US
dc.citation.spage396en_US
dc.citation.epage401en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:A1996WL79500012-
dc.citation.woscount1-
Appears in Collections:Articles


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