Citation

Chu XM, Yan XP, Mao Z, Zhang XZ. Zhongguo Gonglu Xuebao 2006; 19(6): 102-106.

Affiliation

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

Copyright

(Copyright © 2006, Chang'an da xue)

DOI

unavailable

PMID

unavailable

Abstract

The CCD camera was used to shot the freeway scene images, and the HSV color space values were converted from RGB values through image color space transformation. Sub-variable S in freeway scene image binarization segmentation was processed based on the threshold value algorithm, and the shape features of the freeway scene binarization image, such as boundary length, form factor, circularity, were used to wiped off the non-target areas. By searching the catastrophe point of direction projection values sequence of freeway scene binarization image, the traffic sign region position was located correctly. Sub-variable V in HSV color model and the optimal threshold value algorithm were used to process sign area binarization in freeway scene image. Results show that this method is right.