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Article: Adaptive thresholding by variational method

TitleAdaptive thresholding by variational method
Authors
Chan, FHYLam, FKZhu, H
KeywordsAdaptive thresholding
Image segmentation
Variational method
Issue Date1998
PublisherIEEE.
Citation
IEEE Transactions on Image Processing, 1998, v. 7 n. 3, p. 468-473 How to Cite?
DOI: http://dx.doi.org/10.1109/83.661196
AbstractWhen using thresholding method to segment an image, a fixed threshold is not suitable if the background is uneven. Here, we propose a new adaptive thresholding method using variational theory. The method requires only one parameter to be selected and the adaptive threshold surface can be found automatically from the original image.
Persistent Identifierhttp://hdl.handle.net/10722/42774
ISSN
1057-7149
2021 Impact Factor: 11.041
2020 SCImago Journal Rankings: 1.778
ISI Accession Number ID
WOS:000072202300021

 

DC FieldValueLanguage
dc.contributor.authorChan, FHYen_HK
dc.contributor.authorLam, FKen_HK
dc.contributor.authorZhu, Hen_HK
dc.date.accessioned2007-03-23T04:31:56Z-
dc.date.available2007-03-23T04:31:56Z-
dc.date.issued1998en_HK
dc.identifier.citationIEEE Transactions on Image Processing, 1998, v. 7 n. 3, p. 468-473en_HK
dc.identifier.issn1057-7149en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42774-
dc.description.abstractWhen using thresholding method to segment an image, a fixed threshold is not suitable if the background is uneven. Here, we propose a new adaptive thresholding method using variational theory. The method requires only one parameter to be selected and the adaptive threshold surface can be found automatically from the original image.en_HK
dc.format.extent198194 bytes-
dc.format.extent26624 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Transactions on Image Processing-
dc.rights©1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectAdaptive thresholdingen_HK
dc.subjectImage segmentationen_HK
dc.subjectVariational methoden_HK
dc.titleAdaptive thresholding by variational methoden_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1057-7149&volume=7&issue=3&spage=468&epage=473&date=1998&atitle=Adaptive+thresholding+by+variational+methoden_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/83.661196en_HK
dc.identifier.scopuseid_2-s2.0-0032027781-
dc.identifier.hkuros34444-
dc.identifier.isiWOS:000072202300021-
dc.identifier.issnl1057-7149-

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