du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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
Traffic sign recognition by fuzzy sets
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
2008 (English)In: Intelligent Vehicles Symposium, 2008 IEEE, Eindhoven, 2008Conference paper, Published paper (Refereed) Published
Abstract [en]

In this paper, a novel fuzzy approach is developed to recognize traffic signs. More than 3400 images of traffic signs were collected in different light conditions by a digital camera mounted in a car and used for developing and testing this approach. Every RGB image was converted into HSV color space and segmented by using a set of fuzzy rules depending on the hue and saturation values of each pixel. Objects in each segmented image are labeled and tested for the presence of probable sign. Objects passed this test are recognized by a fuzzy shape recognizer which invokes another set of fuzzy rules. These fuzzy rules are based on four invariant shape measures which are invoked to decide the shape of the sign; rectangularity, triangularity, ellipticity, and the new shape measure octagonality. The method is tested in different environmental conditions and it shows high robustness.

Place, publisher, year, edition, pages
Eindhoven, 2008.
Keywords [en]
Traffic signs, Color segmentation, Fuzzy sets, Rectangularity, Triangularity, Ellipticity, Octagonality.
Identifiers
URN: urn:nbn:se:du-3395OAI: oai:dalea.du.se:3395DiVA, id: diva2:521855
Conference
Intelligent Vehicles Symposium, 2008 IEEE , Eindhoven, 4-6 June, 2008, 2008
Available from: 2008-08-28 Created: 2008-08-28 Last updated: 2016-02-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Fleyeh, Hasan

Search in DiVA

By author/editor
Fleyeh, Hasan
By organisation
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 536 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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