Detail-preserving smoothing with morphology and fuzzy reasoning

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DC 欄位	值	語言
dc.contributor.author	Lee, YG	en_US
dc.contributor.author	Hsueh, YC	en_US
dc.date.accessioned	2014-12-08T15:02:31Z	-
dc.date.available	2014-12-08T15:02:31Z	-
dc.date.issued	1996-07-01	en_US
dc.identifier.issn	1017-9909	en_US
dc.identifier.uri	http://hdl.handle.net/11536/1181	-
dc.description.abstract	This 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.iso	en_US	en_US
dc.title	Detail-preserving smoothing with morphology and fuzzy reasoning	en_US
dc.type	Article	en_US
dc.identifier.journal	JOURNAL OF ELECTRONIC IMAGING	en_US
dc.citation.volume	5	en_US
dc.citation.issue	3	en_US
dc.citation.spage	396	en_US
dc.citation.epage	401	en_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.department	National Chiao Tung University	en_US
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:A1996WL79500012	-
dc.citation.woscount	1	-
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