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Color detection and segmentation for road and traffic signs
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
2004 (English)In: IEEE conference on Cybernetics and Intelligent Systems, Singapore, 2004Conference paper, (Refereed) Published
Abstract [en]

This paper aims to present three new methods for color detection and segmentation of road signs. The images are taken by a digital camera mounted in a car. The RGB images are converted into IHLS color space, and new methods are applied to extract the colors of the road signs under consideration. The methods are tested on hundreds of outdoor images in different light conditions, and they show high robustness. This project is part of the research taking place in Dalarna University / Sweden in the field of the ITS.

Place, publisher, year, edition, pages
Singapore, 2004.
Keyword [en]
Color segmentation, color detection, road signs, outdoor images
Identifiers
URN: urn:nbn:se:du-865OAI: oai:dalea.du.se:865DiVA: diva2:521392
Conference
IEEE conference on Cybernetics and Intelligent Systems , Singapore, December, 2004
Available from: 2005-01-13 Created: 2005-01-13 Last updated: 2016-02-12Bibliographically approved

Open Access in DiVA

fulltext(1978 kB)2745 downloads
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Type fulltextMimetype application/pdf

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Fleyeh, Hasan
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf