Fuzzy logic approach for removing noise

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DC Field	Value	Language
dc.contributor.author	Lee, YG	en_US
dc.contributor.author	Hsueh, YC	en_US
dc.date.accessioned	2014-12-08T15:03:02Z	-
dc.date.available	2014-12-08T15:03:02Z	-
dc.date.issued	1995-12-01	en_US
dc.identifier.issn	0925-2312	en_US
dc.identifier.uri	http://dx.doi.org/10.1016/0925-2312(95)00085-3	en_US
dc.identifier.uri	http://hdl.handle.net/11536/1628	-
dc.description.abstract	This paper shows how fuzzy reasoning techniques can be applied on smoothing filters design. It uses the fuzzy concept to decide whether a pixel in an image is a noise one or not in order to achieve maximum noise reduction in uniform areas and preserve details as well.	en_US
dc.language.iso	en_US	en_US
dc.subject	smoothing	en_US
dc.subject	fuzzy reasoning	en_US
dc.subject	uniform surface uncertainty	en_US
dc.subject	fuzzy image	en_US
dc.title	Fuzzy logic approach for removing noise	en_US
dc.type	Letter	en_US
dc.identifier.doi	10.1016/0925-2312(95)00085-3	en_US
dc.identifier.journal	NEUROCOMPUTING	en_US
dc.citation.volume	9	en_US
dc.citation.issue	3	en_US
dc.citation.spage	349	en_US
dc.citation.epage	355	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:A1995TK70800006	-
dc.citation.woscount	5	-
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