A Unified Tensor Level Set Method for Image Segmentation. Multimedia Analysis, Processing and Communications

Gao, X; Wang, B; Tao, D; Li, X

A Unified Tensor Level Set Method for Image Segmentation. Multimedia Analysis, Processing and Communications

Gao, X Wang, B Tao, D

Li, X

Permalink

Publisher:: Springer-Verlag Berlin
Publication Type:: Chapter
Citation:: Studies in Computational Intelligence vol 346, 2011, 1, pp. 217 - 238
Issue Date:: 2011-01

Closed Access

	Filename	Description	Size
	2011000264OK_Gao.pdf		2.39 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Gao, X	en_US
dc.contributor.author	Wang, B	en_US
dc.contributor.author	Tao, D https://orcid.org/0000-0001-7225-5449	en_US
dc.contributor.author	Li, X	en_US
dc.contributor.editor	Lin, W	en_US
dc.contributor.editor	Tao, D https://orcid.org/0000-0001-7225-5449	en_US
dc.contributor.editor	Kacprzyk, J	en_US
dc.contributor.editor	Li, Z	en_US
dc.contributor.editor	Izquierdo, E	en_US
dc.contributor.editor	Wang, H	en_US
dc.date.issued	2011-01	en_US
dc.identifier.citation	Studies in Computational Intelligence vol 346, 2011, 1, pp. 217 - 238	en_US
dc.identifier.isbn	978-3-642-19550-1	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31280
dc.description.abstract	This paper presents a new unified level set model for multiple regional image segmentation. This model builds a unified tensor representation for comprehensively depicting each pixel in the image to be segmented, by which the image aligns itself with a t	en_US
dc.publisher	Springer-Verlag Berlin	en_US
dc.relation.ispartof	Studies in Computational Intelligence vol 346	en_US
dc.title	A Unified Tensor Level Set Method for Image Segmentation. Multimedia Analysis, Processing and Communications	en_US
dc.type	Chapter
utslib.location	Berlin	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.citation.edition	1	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.edition	1	en_US
pubs.place-of-publication	Berlin	en_US

Abstract:

This paper presents a new unified level set model for multiple regional image segmentation. This model builds a unified tensor representation for comprehensively depicting each pixel in the image to be segmented, by which the image aligns itself with a t

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/31280