Citation

Chu XM, Yan XP, Mao Z. J. Traffic Transp. Eng. (Xi'an, Shaanxi) 2006; 6(4): 91-95.

Affiliation

ITS Center, Wuhan University of Technology, Wuhan 430063, Hubei, China

Copyright

(Copyright © 2006, Chang'an Daxue)

DOI

unavailable

PMID

unavailable

Abstract

To achieve automatic classifying traffic sign, a sign classifying method was put forward, sign HSI color model was obtained from sign RGB model, the edge of traffic sign image was detected by Sobel operator, sign region was filled by line-scanning method to gain the binary image of traffic sign, the invariant-moments and form factors of traffic sign image were extracted as image feathers, the shape of traffic sign was recognized by BP nerve net classifier, a euclid-distance classifier was designed to recognize the background color of traffic sign by H and I values. Automatic classifying result shows that the shape and color of traffic sign can be recognised accurately by the method.

Language: en