Computer and Modernization ›› 2016, Vol. 0 ›› Issue (2): 5-10.doi: 10.3969/j.issn.1006-2475.2016.02.002

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 Detection and Correction of Traffic Signs Shape in Nature Scene

  

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • Received:2015-10-09 Online:2016-03-02 Published:2016-03-03

Abstract: The automatic recognition of traffic signs can be applied to the automatic or semi-automatic auxiliary driving system which can provide the information of surrounding road conditions to the driver. The traffic signs always suffer distortion and deformation problem because of the complexity of road conditions, the changing illumination conditions and the vibrating of car. In this paper, a fast and efficient algorithm is proposed which can locate the position of traffic signs based on the color and shape information, and the traffic signs can be corrected using perspective transformation. Experiment results show that the algorithm is of a good robustness to illumination, and can overcome the distortion problem caused by the unsuitable camera angle.

Key words:  traffic signs, color and shape, image correction, perspective transformation