Bi-lateral filtering based edge detection on hexagonal architecture

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Show simple item record Wu, Qiang en_US Hintz, Thomas en_US He, Sean en_US
dc.contributor.editor Barner K en_US 2009-11-09T05:34:17Z 2009-11-09T05:34:17Z 2005 en_US
dc.identifier 2005001003 en_US
dc.identifier.citation Wu Qiang, He Xiangjian, and Hintz Thomas 2005, 'Bi-lateral filtering based edge detection on hexagonal architecture', IEEE, USA, pp. 11713-11716. en_US
dc.identifier.issn 0-7803-8875-5 en_US
dc.identifier.other E1 en_US
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. en_US
dc.publisher IEEE en_US
dc.relation.isbasedon proceedings/2005/icasspf en_US
dc.title Bi-lateral filtering based edge detection on hexagonal architecture en_US
dc.parent 2005 IEEE International Conference On Acoustics, Speech, And Signal Processing, Vols 1-5 - Speech Processing en_US
dc.journal.number en_US
dc.publocation USA en_US
dc.identifier.startpage 11713 en_US
dc.identifier.endpage 11716 en_US FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference.location Philadelphia, PA, USA en_US
dc.for 080104 en_US
dc.personcode 000748 en_US
dc.personcode 990421 en_US
dc.personcode 830145 en_US
dc.percentage 40 en_US Computer Vision en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE International Conference on Acoustics, Speech, and Signal Processing en_US 20050319 en_US
dc.location.activity Philadelphia, PA, USA en_US
dc.staffid 830145 en_US

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