Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37687
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorZhao, T-
dc.creatorFeng, D-
dc.creatorTan, Z-
dc.date.accessioned2016-05-11T10:11:04Z-
dc.date.available2016-05-11T10:11:04Z-
dc.identifier.isbn0-7803-8687-6-
dc.identifier.urihttp://hdl.handle.net/10397/37687-
dc.language.isoenen_US
dc.subjectMarkov processesen_US
dc.subjectComputer graphicsen_US
dc.subjectImage segmentationen_US
dc.subjectImage textureen_US
dc.titleExtracting occlusion from images based on texture-synthesis methodsen_US
dc.typeConference Paperen_US
dc.identifier.spage354-
dc.identifier.epage357-
dc.identifier.doi10.1109/ISIMP.2004.1434073-
dcterms.abstractThis paper proposes a method of region segmentation by which occlusions are extracted from a non-repeating, non-parametric texture. Based on a method of texture synthesis proposed by Efros and Leung (1999), this method of segmentation assumes the texture can be described by a Markov random field with probabilities conditioned on neighboring pixels. Instead of generating a new texture, the Markov model is used to determine the acceptance of pixels as part of the texture. This method has the advantage of not requiring any special filter preprocessing or texton processing.-
dcterms.bibliographicCitationProceedings of the International Symposium on Intelligent Multimedia, Video and Speech Processing (ISIMP’2004), Hong Kong, 20-22 Oct. 2004, p. 354-357-
dcterms.issued2004-
dc.relation.conferenceInternational Symposium on Intelligent Multimedia, Video and Speech Processing [ISIMP]-
dc.identifier.rosgroupidr24319-
dc.description.ros2004-2005 > Academic research: refereed > Refereed conference paper-
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