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Moment-based image normalization with high noise-tolerance

dc.citation.epage139en_US
dc.citation.issue2en_US
dc.citation.spage136en_US
dc.citation.volume19en_US
dc.citation.woscount23
dc.contributor.authorGruber, Men_US
dc.contributor.authorHsu, KYen_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.date.accessioned2014-12-08T15:02:02Z
dc.date.available2014-12-08T15:02:02Z
dc.date.issued1997-02-01en_US
dc.description.abstractIn 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.identifier.doi10.1109/34.574793en_US
dc.identifier.issn0162-8828en_US
dc.identifier.journalIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCEen_US
dc.identifier.urihttp://dx.doi.org/10.1109/34.574793en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/750
dc.identifier.wosnumberWOS:A1997WK72800005
dc.language.isoen_USen_US
dc.subjectmomentsen_US
dc.subjectimage normalizationen_US
dc.subjectimage centroiden_US
dc.subjectpattern recognitionen_US
dc.subjectnoise suppressionen_US
dc.titleMoment-based image normalization with high noise-toleranceen_US
dc.typeArticleen_US

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