Volume 13 Number 1 (Jan. 2018)
Home > Archive > 2018 > Volume 13 Number 1 (Jan. 2018) >
JCP 2018 Vol.13(1): 69-76 ISSN: 1796-203X
doi: 10.17706/jcp.13.1.69-76

Circular Traffic Sign Detection in Natural Scenes

Qi Zhang1, Ning He2, Yue Chi1
1Beijing Key Laboratory of Information Services Engineering, Beijing Union University, Beijing 100101, China.
2College of Information Technology, Beijing Union University, Beijing 100101, China.

Abstract—We propose an approach for detecting circular traffic signs from images degraded by motion blur recorded in natural scenes. The first step enhances the image using the Laplace algorithm. The second step converts the image color space and identifies circular traffic signs using an adaptive threshold segmentation algorithm. The final step detects the sign area by considering circular and area features. Our experiments demonstrated that the method is robust and adaptable.

Index Terms—Traffic sign, image segmentation, HSV space, adaptive threshold.

[PDF]

Cite: Qi Zhang, Ning He, Yue Chi, "Circular Traffic Sign Detection in Natural Scenes," Journal of Computers vol. 13, no. 1, pp. 69-76, 2018.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Cherry L. Chen
Abstracting/ Indexing: DBLP, EBSCO, DOAJ, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
  • Jun 21, 2017 News!

    Vol 13, No 4 has been published with online version   [Click]

  • Jun 14, 2017 News!

    Vol 13, No 3 has been published with online version   [Click]

  • May 24, 2017 News!

    Vol 13, No 2 has been published with online version   [Click]

  • May 24, 2017 News!

    Vol 13, No 1 has been published with online version   [Click]

  • Jan 20, 2017 News!

    Vol.12, No.6 has been published with online version.   [Click]

  • Read more>>