Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/1195
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dc.contributorMitter, S. K. 1933--
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.-
dc.contributorKulkarni, Sanjeev R. (Sanjeev Ramesh)-
dc.date2002-06-21T03:39:43Z-
dc.date2002-06-21T03:39:43Z-
dc.date1991-
dc.date.accessioned2013-05-31T16:16:35Z-
dc.date.available2013-05-31T16:16:35Z-
dc.date.issued2013-06-01-
dc.identifierhttp://hdl.handle.net/1721.1/1195-
dc.identifier.urihttp://koha.mediu.edu.my:8181/jspui/handle/1721-
dc.descriptionS.R. Kulkarni and S.K. Mitter.-
dc.descriptionIncludes bibliographical references (p. 12-13).-
dc.descriptionCover title.-
dc.descriptionResearch supported by the U.S. Army Research Office. DAAL03-86-K-0171 Research supported by the Air Force Office of Scientific Research. AFOSR 89-0276 Research supported by the Department of the Navy under an Air Force Contract. F19628-90-C-0002-
dc.format13 p.-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems-
dc.relationLIDS-P ; 2014-
dc.subjectTK7855.M41 E3845 no.2014-
dc.titleSome discrete approximations to a variational method for image segmentation-
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