Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29236
DC FieldValueLanguage
dc.contributorDepartment of Computing-
dc.creatorWang, S-
dc.creatorChung, FL-
dc.date.accessioned2015-06-23T09:14:39Z-
dc.date.available2015-06-23T09:14:39Z-
dc.identifier.issn0167-8655-
dc.identifier.urihttp://hdl.handle.net/10397/29236-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectImage thresholdingen_US
dc.subjectRenyi entropyen_US
dc.subjectTsallis entropyen_US
dc.titleNote on the equivalence relationship between Renyi-entropy based and Tsallis-entropy based image thresholdingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2309-
dc.identifier.epage2312-
dc.identifier.volume26-
dc.identifier.issue14-
dc.identifier.doi10.1016/j.patrec.2005.03.027-
dcterms.abstractRenyi entropy based image thresholding in [Sahoo, P., Wilkins, C., et al., 1997. Thresholding selection using Renyi's entropy. Pattern Recognition 30 (1), 71-84; Sahoo, P.K., Arora, G., 2004. A thresholding method based on two dimensional Renyi's entropy. Pattern Recognition 37 (6), 1149-1161] and Tsallis entropy based image thresholding in [Albuquerque, M.P., Esquef, I.A., et al., 2004. Image thresholding using Tsallis entropy. Pattern Recognition Letters 25 (9), 1059-1065] are two important global threshold selection approaches in image segmentation. In this correspondence, the equivalence relationship between these two approaches is revealed, that is to say, with the same parameter, these two approaches will obtain the same threshold.-
dcterms.bibliographicCitationPattern recognition letters, 2005, v. 26, no. 14, p. 2309-2312-
dcterms.isPartOfPattern recognition letters-
dcterms.issued2005-
dc.identifier.scopus2-s2.0-25644448722-
dc.identifier.eissn1872-7344-
dc.identifier.rosgroupidr26369-
dc.description.ros2005-2006 > Academic research: refereed > Publication in refereed journal-
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