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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, 2004. / [ed] IEEE, Singapore, 2004, Vol. 2, p. 809-814Conference paper, Published paper (Refereed)
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. Vol. 2, p. 809-814
Keywords [en]
Color segmentation, color detection, road signs, outdoor images
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:du-30870DOI: 10.1109/ICCIS.2004.1460692ISBN: 0-7803-8643-4 (print)OAI: oai:DiVA.org:du-30870DiVA, id: diva2:1359139
Conference
CIS-RAM 2004, IEEE Conference on Cybernetics and Intelligent Systems, Singapore, 1-3 December, 2004
Available from: 2019-10-08 Created: 2019-10-08 Last updated: 2019-10-11Bibliographically approved

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