Bi-lateral filtering based edge detection on hexagonal architecture

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dc.contributor.author Wu, Q
dc.contributor.author He, S
dc.contributor.author Hintz, TB
dc.contributor.editor Barner, K
dc.date.accessioned 2009-11-09T05:34:17Z
dc.date.issued 2005-01
dc.identifier.citation 2005 IEEE International Conference On Acoustics, Speech, And Signal Processing, Vols 1-5 - Speech Processing, 2005, pp. 11713 - 11716
dc.identifier.isbn 0-7803-8875-5
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2328
dc.description.abstract Edge detection plays an important role in image processing area but is still an open problem. This paper presents a novel edge detection method based on bi-lateral filtering which achieves better performance than single Gaussian filtering. In this form of filtering, both spatial closeness and intensity similarity of pixels are considered in order to preserve important visual cues provided by edges and reduce the sharpness of transitions in intensity values as well. In addition, the edge detection method proposed in this paper is achieved on hexagonally sampled images. Due to the compact and circular nature of the hexagonal lattice, a better quality edge map is obtained on hexagonal architecture than common edge detection on square architecture. Experimental results using our proposed method in this paper exhibit encouraging performance.
dc.publisher IEEE
dc.title Bi-lateral filtering based edge detection on hexagonal architecture
dc.type Conference Proceeding
dc.parent 2005 IEEE International Conference On Acoustics, Speech, And Signal Processing, Vols 1-5 - Speech Processing
dc.journal.number en_US
dc.publocation USA en_US
dc.identifier.startpage 11713 en_US
dc.identifier.endpage 11716 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference IEEE International Conference on Acoustics, Speech, and Signal Processing
dc.conference.location Philadelphia, PA, 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 Computer Vision en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE International Conference on Acoustics, Speech, and Signal Processing en_US
dc.date.activity 20050319 en_US
dc.date.activity 2005-03-19
dc.location.activity Philadelphia, PA, USA en_US
dc.description.keywords teacher education, critical friendship, self-study
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 Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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