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Adaptive Shadow and Highlight Invariant Colour Segmentation for Traffic Sign Recognition Based on Kohonen SOM
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
2011 (English)In: Journal of Intelligent Systems, ISSN 2191-026X, Vol. 20, no 1, 15-31 p.Article in journal (Refereed) Published
Abstract [en]

This paper describes an intelligent algorithm for traffic sign recognition which converges quickly, is accurate in its segmentation and adaptive in its behaviour. The proposed approach can segment images of traffic signs in different lighting and environmental conditions and in different countries. It is based on using Kohonen's Self-Organizing Maps (SOM) as a clustering tool and it is developed for Intelligent Vehicle applications. The current approach does not need any prior training. Instead, a slight portion, which is about 1% of the image under investigation, is used for training. This is a key issue to ensure fast convergence and high adaptability. The current approach was tested by using 442 images which were collected under different environmental conditions and from different countries. The proposed approach shows promising results; good improvement of 73% is observed in faded traffic sign images compared with 53.3% using the traditional algorithm. The adaptability of the system is evident from the segmentation of the traffic sign images from various countries where the result is 96% for the nine countries included in the test.

Place, publisher, year, edition, pages
Tallahassee: Walter de Gruyter , 2011. Vol. 20, no 1, 15-31 p.
Keyword [en]
Colour segmentation, neural networks, traffic signs, recognition, classification, SOM.
National Category
Computer Systems
Research subject
Komplexa system - mikrodataanalys
Identifiers
URN: urn:nbn:se:du-5267DOI: 10.1515/JISYS.2011.002OAI: oai:dalea.du.se:5267DiVA: diva2:520308
Available from: 2011-02-02 Created: 2011-02-02 Last updated: 2016-02-12Bibliographically approved

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CiteExportLink to record
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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