• Optics and Precision Engineering
  • Vol. 17, Issue 5, 1111 (2009)
CHEN Hong-bo1,2,*, WANG Qiang3, XU Xiao-rong1, CHEN Zhen-cheng2, and TANG Jing-tian2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: Cite this Article
    CHEN Hong-bo, WANG Qiang, XU Xiao-rong, CHEN Zhen-cheng, TANG Jing-tian. Line detection in traffic sign image based on improved Hough transform[J]. Optics and Precision Engineering, 2009, 17(5): 1111 Copy Citation Text show less

    Abstract

    The extraction of the line features is very critical for traffic sign recognition. Aiming at the drawbacks of existing Hough transform,such as peak diffusion in a parameter space,heavy computational complexity and massive storage requirements,an adaptive many-to-many mapping scheme insensitive to the threshold is proposed to exactly extrac the lines from a image with low computational complexity. Experimental results reveal that the range of selectable threshold of the new method is three times that of MTO_θ,while the running time is 10% that of MTO_ρ. These results reported here show that proposed method is more efficient for extracting the lines in traffic sign images with acceptable running time,and it can also be used for line detection in symbol images and bill images.
    CHEN Hong-bo, WANG Qiang, XU Xiao-rong, CHEN Zhen-cheng, TANG Jing-tian. Line detection in traffic sign image based on improved Hough transform[J]. Optics and Precision Engineering, 2009, 17(5): 1111
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