Moment-based image normalization with high noise-tolerance

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DC Field	Value	Language
dc.contributor.author	Gruber, M	en_US
dc.contributor.author	Hsu, KY	en_US
dc.date.accessioned	2014-12-08T15:02:02Z	-
dc.date.available	2014-12-08T15:02:02Z	-
dc.date.issued	1997-02-01	en_US
dc.identifier.issn	0162-8828	en_US
dc.identifier.uri	http://dx.doi.org/10.1109/34.574793	en_US
dc.identifier.uri	http://hdl.handle.net/11536/750	-
dc.description.abstract	In this paper the effects of noise with nonzero mean on existing moment-based image normalization methods are studied. Several modifications to reduce noise sensitivity are presented and tested. They involve nonlinear mapping and fractional- and negative-order moments.	en_US
dc.language.iso	en_US	en_US
dc.subject	moments	en_US
dc.subject	image normalization	en_US
dc.subject	image centroid	en_US
dc.subject	pattern recognition	en_US
dc.subject	noise suppression	en_US
dc.title	Moment-based image normalization with high noise-tolerance	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1109/34.574793	en_US
dc.identifier.journal	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE	en_US
dc.citation.volume	19	en_US
dc.citation.issue	2	en_US
dc.citation.spage	136	en_US
dc.citation.epage	139	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.identifier.wosnumber	WOS:A1997WK72800005	-
dc.citation.woscount	23	-
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