Pixel color feature enhancement for road signs detection

Qieshi Zhang, Sei Ichiro Kamata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Road signs play an important role in our daily life which used to guide drivers to notice variety of road conditions and cautions. They provide important visual information that can help drivers operating their vehicles in a manner for enhancing traffic safety. The occurrence of some accidents can be reduced by using automatic road signs recognition system which can alert the drivers. This research attempts to develop a warning system to alert the drivers to notice the important road signs early enough to refrain road accidents from happening. For solving this, a non-linear weighted color enhancement method by pixels is presented. Due to the advantage of proposed method, different road signs can be detected from videos effectively. With suitably coefficients and operations, the experimental results have proved that the proposed method is robust, accurate and powerful in road signs detection.

Original languageEnglish
Title of host publication2nd International Conference on Digital Image Processing
DOIs
Publication statusPublished - 2010 Mar 22
Event2nd International Conference on Digital Image Processing - Singapore, Singapore
Duration: 2010 Feb 262010 Feb 28

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7546
ISSN (Print)0277-786X

Conference

Conference2nd International Conference on Digital Image Processing
CountrySingapore
CitySingapore
Period10/2/2610/2/28

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Keywords

  • Color barycenters hexagon (CBH) model
  • Pixel color enhancement
  • Road signs detection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Zhang, Q., & Kamata, S. I. (2010). Pixel color feature enhancement for road signs detection. In 2nd International Conference on Digital Image Processing [75461N] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7546). https://doi.org/10.1117/12.855663