Open Access
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
Article Number 03021
Number of page(s) 7
Section Mechanic and Control Engineering
Published online 09 July 2015
  1. AsaKura T., Aoyagi Y. & Hirose K. 2000. Real-time recognition of road traffic sign in moving scene image using new image filter. Proceedings of the 39th SICE Annual Conference. Japan: SICE: 13–18.
  2. Huang Zhiyong, Sun Guangming. & Li Fung.2004. Traffic Sign Segment Based on RGB Vision Model. Microelectronics and Computer, 21(10):147–148.
  3. Nkehtarnavaz N, Griwold N.C. & Kang D.S. 1993. Stop sign recognition based on color shape processing. Machine Vision and Applications, 6(4): 206–208. [CrossRef]
  4. C.Kimme, D.H.Ballard. & J.Sklansky.1975. Finding circles by an array of accumulators. Communications of the Association for Computing Machinery, 18(2):120–122. [CrossRef]
  5. Wang Qing. & Hu Jianping.2000. A high speed Hough transform algorithm for circle detection. Minmicro System, 21(9):970–973.
  6. Wu Yaxiong. & Chen Haiyan.2009. Fast circle recognition based on freeman chain code. Microcomputer Applications, 30(10):50–52.
  7. Zhang Jing, He Mingyi, Dai Yuchao. & Qu Xiaogang. 2011. Circular traffic sign detection based on color and shape. Computer Engineering and Applications, 47(2):233–241.
  8. Hu Mudan, Yang Lijing. & Zhu Shuangdong.2009. Traffic sign segment based on chromatic aberration of three color-components. Mechanical and Electrical Engineering Magazine, 26(10):23–26.
  9. Otsu N.1979. A threshold selection method from gray level histogram. IEEE Trans on System Cybern, 9(1): 62–66. [CrossRef]
  10. Gao Hongbo. & Wang Weixing.2007. New connected component labeling algorithm for binary image. Computer Applications, 27(11): 2776–2777.
  11. Yan Bei, Wang Bing. & Li Yuan. 2008. Optmial ellipse fitting method based on least square principle. Journal of BeiJing University of Aeronautics and Astronautics, 34(3): 295–298.
  12. Gray Bradski. & Adrian Kaebler. 2009. Learning OpenCV. Beijing: Tsinghua University Press: 140–141.
  13. Mou Shaomin, Du Haiyang. & Su Ping. 2013. A new improved fast parallel thinning algorithm. Microelectronics and Computer, 30(1): 53–54.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.