Bi-lateral filtering based edge detection on hexagonal architecture

Wu, Q; He, S; Hintz, TB

Bi-lateral filtering based edge detection on hexagonal architecture

Wu, Q

He, S

Hintz, TB

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2005 IEEE International Conference On Acoustics, Speech, And Signal Processing, Vols 1-5 - Speech Processing, 2005, pp. 11713 - 11716
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483	en_US
dc.contributor.author	He, S https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Hintz, TB	en_US
dc.contributor.editor	Barner, K	en_US
dc.date	2005-03-19	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	2005 IEEE International Conference On Acoustics, Speech, And Signal Processing, Vols 1-5 - Speech Processing, 2005, pp. 11713 - 11716	en_US
dc.identifier.isbn	0-7803-8875-5	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.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	2005 IEEE International Conference On Acoustics, Speech, And Signal Processing, Vols 1-5 - Speech Processing	en_US
dc.relation.ispartof	IEEE International Conference on Acoustics, Speech, and Signal Processing	en_US
dc.rights	© 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Bi-lateral filtering based edge detection on hexagonal architecture	en_US
dc.type	Conference Proceeding
utslib.location	USA	en_US
utslib.location.activity	Philadelphia, PA, USA	en_US
utslib.for	080106 Image Processing	en_US
utslib.for	080104 Computer Vision	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Philadelphia, PA, USA	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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	USA	en_US
pubs.start-date	2005-03-19	en_US

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.

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http://hdl.handle.net/10453/2328