Title :
Traffic sign segmentation based on Maxwell color triangle
Author :
Chuan, Lin ; Shenghui, Pan ; Fan, Zhang
Author_Institution :
Electron. Inf. & Control Eng. Dept., Guangxi Univ. of Technol., Liuzhou, China
Abstract :
Based on the analysis of Maxwell color triangle, a segmentation algorithm for traffic sign is presented. An characteristic segmentation formula is proposed for the red, yellow and blue traffic signs, and the criteria is presented to confirm the range of threshold group through a number of experiments. Accordingly, the traffic sign is segmented by region growth with maximum and minimum threshold group. Experimentals resules show that the segmentation algorithm has capacities of good real-time and robustness, paving a foundation for improving the precise recognition of traffic signs.
Keywords :
automated highways; image colour analysis; image segmentation; object recognition; traffic engineering computing; Maxwell color triangle; blue traffic sign; red traffic sign; region growth; threshold group; traffic sign recognition; traffic sign segmentation; yellow traffic sign; Algorithm design and analysis; Color; Image color analysis; Image segmentation; Lighting; Pixel; Real time systems; Maxwell color triangle; double threshold; region growth; traffic sign;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5623074
