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

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dc.contributor.author Wang, B
dc.contributor.author Gao, X
dc.contributor.author Tao, D
dc.contributor.author Li, X
dc.contributor.author Li, J
dc.contributor.editor NA
dc.date.accessioned 2012-02-14T04:23:32Z
dc.date.issued 2009-01
dc.identifier.citation Computer Analysis Of Images And Patterns, Proceedings, 2009, 5702 pp. 987 - 994
dc.identifier.issn 0302-9743
dc.identifier.other E1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/17296
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
dc.publisher Springer-Verlag Berlin
dc.relation.isbasedon 10.1007/978-3-642-03767-2_120
dc.title The Gabor-based Tensor Level Set Method For Multiregional Image Segmentation
dc.type Conference Proceeding
dc.description.version Published
dc.parent Computer Analysis Of Images And Patterns, Proceedings
dc.journal.volume 5702
dc.journal.number en_US
dc.publocation Berlin en_US
dc.identifier.startpage 987 en_US
dc.identifier.endpage 994 en_US
dc.cauo.name FEIT.A/DRsch Ctr Quantum Computat'n & Intelligent Systs en_US
dc.conference Verified OK en_US
dc.conference 6th International Conference of Technology, Education and Development (INTED)
dc.conference International Conference on Computer Analysis of Images and Patterns
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 111502
dc.percentage 100 en_US
dc.classification.name 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
dc.date.activity 20090902 en_US
dc.date.activity 2012-03-05
dc.date.activity 2009-09-02
dc.location.activity Munster, Germany en_US
dc.location.activity Valencia, SPAIN
dc.description.keywords DISCRIMINANT-ANALYSIS; ACTIVE CONTOURS; MUMFORD; MODEL; EDGES en_US
dc.description.keywords Social Sciences
dc.description.keywords Education & Educational Research
dc.description.keywords Continuing Education
dc.description.keywords occupational licensing
dc.description.keywords property professional
dc.description.keywords COMPETENCE
dc.description.keywords VALIDITY
dc.description.keywords MEDICINE
dc.description.keywords DISCRIMINANT-ANALYSIS
dc.description.keywords ACTIVE CONTOURS
dc.description.keywords MUMFORD
dc.description.keywords MODEL
dc.description.keywords EDGES
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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