The Gabor-based Tensor Level Set Method For Multiregional Image Segmentation

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Show simple item record Wang, Bing en_US Gao, Xinbo en_US Tao, Dacheng en_US Li, Xuelong en_US Li, Jing en_US
dc.contributor.editor NA en_US 2012-02-14T04:23:32Z 2012-02-14T04:23:32Z 2009 en_US
dc.identifier 2011001271 en_US
dc.identifier.citation Wang Bing et al. 2009, 'The Gabor-based Tensor Level Set Method For Multiregional Image Segmentation', , Springer-Verlag Berlin, Berlin, , pp. 987-994. en_US
dc.identifier.issn 0302-9743 en_US
dc.identifier.other E1UNSUBMIT en_US
dc.description.abstract This paper represents a new level set method for multiregional image segmentation. It employs the Gabor filter bank to extract local geometrical features and builds the pixel tensor representation whose dimensionality is reduced by using the offline tens en_US
dc.language en_US
dc.publisher Springer-Verlag Berlin en_US
dc.relation.isbasedon en_US
dc.title The Gabor-based Tensor Level Set Method For Multiregional Image Segmentation en_US
dc.parent Computer Analysis Of Images And Patterns, Proceedings en_US
dc.journal.volume 5702 en_US
dc.journal.number en_US
dc.publocation Berlin en_US
dc.identifier.startpage 987 en_US
dc.identifier.endpage 994 en_US FEIT.A/DRsch Ctr Quantum Computat'n & Intelligent Systs en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 0000020130 en_US
dc.personcode 0000066516 en_US
dc.personcode 111502 en_US
dc.personcode 0000066518 en_US
dc.personcode 0000068205 en_US
dc.percentage 100 en_US Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference on Computer Analysis of Images and Patterns en_US 20090902 en_US
dc.location.activity Munster, Germany en_US

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