Traffic sign localization based on edge-color pair and feature filters

Li, W; Li, H; Dong, T; Yao, J; He, X

Traffic sign localization based on edge-color pair and feature filters

Li, W Li, H Dong, T Yao, J He, X

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Publication Type:: Journal Article
Citation:: ICIC Express Letters, 2016, 10 (3), pp. 727 - 732
Issue Date:: 2016-03-01

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Field	Value	Language
dc.contributor.author	Li, W	en_US
dc.contributor.author	Li, H	en_US
dc.contributor.author	Dong, T	en_US
dc.contributor.author	Yao, J	en_US
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.date.issued	2016-03-01	en_US
dc.identifier.citation	ICIC Express Letters, 2016, 10 (3), pp. 727 - 732	en_US
dc.identifier.issn	1881-803X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43333
dc.description.abstract	© 2016, ICIC International. Traffic sign localization is a key part of the traffic sign recognition system. A novel algorithm for traffic sign localization based on edge-color pair combined with feature filters is presented in this paper. Firstly, the color edge detection is taken by the method of distance measure of direction region in a color image. Secondly, the suspected regions of the traffic sign are localized roughly based on edge-color pair. Finally, a two-level feature filter is designed to localize the traffic sign accurately. The experiment on 200 traffic sign images that were taken under various conditions shows the extraction rate of 96.1%. The experimental results show that the algorithm in this paper can effectively eliminate the color fade effect and the analogue interference effect on traffc sign localization.	en_US
dc.relation.ispartof	ICIC Express Letters	en_US
dc.title	Traffic sign localization based on edge-color pair and feature filters	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	10	en_US
utslib.for	080104 Computer Vision	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	080106 Image Processing	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/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	10	en_US

Abstract:

© 2016, ICIC International. Traffic sign localization is a key part of the traffic sign recognition system. A novel algorithm for traffic sign localization based on edge-color pair combined with feature filters is presented in this paper. Firstly, the color edge detection is taken by the method of distance measure of direction region in a color image. Secondly, the suspected regions of the traffic sign are localized roughly based on edge-color pair. Finally, a two-level feature filter is designed to localize the traffic sign accurately. The experiment on 200 traffic sign images that were taken under various conditions shows the extraction rate of 96.1%. The experimental results show that the algorithm in this paper can effectively eliminate the color fade effect and the analogue interference effect on traffc sign localization.

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http://hdl.handle.net/10453/43333