Edge map improvement on Spiral Architecture

DSpace/Manakin Repository

Search OPUS


Advanced Search

Browse

My Account

Show simple item record

dc.contributor.author Wu, Q
dc.contributor.author He, X
dc.contributor.author Hintz, T
dc.date.accessioned 2010-05-18T06:49:13Z
dc.date.issued 2003
dc.identifier.citation Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST, 2003, 1 pp. 179 - 185
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/6975
dc.description.abstract Edge map is considered as an important entity containing most of object features in an image. Many computer vision systems rely on the use of the boundary line information to perform the object recognition tasks. However, with the exception of images acquired from highly restricted environment, common edge detectors do not guarantee the production of continuous boundaries of objects. In this paper, a local processing based edge-linking algorithm is proposed. We set a criterion involving multiple properties of the pixel to find the best candidate points for edge linking. In addition, this algorithm is implemented on Spiral Architecture.
dc.rights Proceedings of WORLDCOMP (World Congress in Computer Science, Computer Engineering and Applied Computing); USA. Editor: Hamid R. Arabnia Year: 2003 Name of Conference/Track: Proceedings of the International Conference on imaging sciencem systems and technology, CISST'03 URL: http://www.world-academy-of-science.org/
dc.title Edge map improvement on Spiral Architecture
dc.type Conference Proceeding
dc.parent Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST
dc.journal.volume 1
dc.journal.number en_US
dc.publocation USA en_US
dc.identifier.startpage 179 en_US
dc.identifier.endpage 185 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference en_US
dc.conference Verified OK en_US
dc.conference.location Las Vegas, USA en_US
dc.for 080106 Image Processing
dc.for 080104 Computer Vision
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 830145
dc.personcode 990421
dc.personcode 000748
dc.percentage 40 en_US
dc.classification.name Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference Imaging Science, Systems and Technology en_US
dc.date.activity 20030623 en_US
dc.location.activity Las Vegas, USA en_US
dc.description.keywords Edge detection
dc.description.keywords Edge restoration
dc.description.keywords Image processing
dc.description.keywords Spiral Architecture
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/Faculty of Engineering and Information Technology/School of Computing and Communications
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history General (ID: 2)


Files in this item

This item appears in the following Collection(s)

Show simple item record