• Optics and Precision Engineering
  • Vol. 20, Issue 12, 2751 (2012)
WANG Meng-jun1,2,*, YANG Lu1,2, WANG Xia1, and LIU Jian-fei1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/ope.20122012.2751 Cite this Article
    WANG Meng-jun, YANG Lu, WANG Xia, LIU Jian-fei. Realization of within-class feature extracting based on Euclidean-like distance transform for traffic signs using simplied PCNN[J]. Optics and Precision Engineering, 2012, 20(12): 2751 Copy Citation Text show less
    References

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    [2] WANG Y P, SHI M P, WU T. A method of fast and robust for traffic sign recognition [C]. Proceedings of 5th International Conference on Image and Graphics, Xi’an, P.R. China: ICIG, 2009:891-895.

    [3] GU Y L, YENDO T, TEHRANI M P, et al.. A new vision system for traffic sign recognition [C]. Proceedings of IEEE Intelligent Vehicles Symposium, San Diego, CA: IVS, 2010: 7-12.

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    [5] TANG J, LIANG X, CHENG F Y, et al.. A method for traffic signs detection, tracking and recognition [C]. Proceedings of 5th International Conference on Computer Science and Education, Changsha, P. R. China: ICCSE, 2010:189-194.

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    [7] ANDREY V, JO K H. Automatic detection and recognition of traffic signs using geometric structure analysis [C]. Proceedings of International Joint Conference on SICE-ICASE, Busan, Korea:ICSCIE-ICASE, 2006:1451-1456.

    [8] RUGHOOPUTH S D D V, BUOOTUN H, RUGHOOPUTH H C S. Pulse coded neural networks for sign recognition for navigation[C]. Proceedings of IEEE International Conference on Industrial Technology, Maribor, Slovenia:ICIT, 2003,1:89-94.

    [9] WANG ZH H, TIE Y, LIU Y P. Design and implementation of image fusion system [C]. Proceedings of International Conference on Computer Application and System Modeling, Taiyuan, P.R. China: ICCASE, 2010,1:140-143.

    [10] WU ZH G, WANG Y J, LI G J. Application of adaptive PCNN based on wavelet transform to image fusion [J]. Opt. Precision Eng., 2010, 18(3):708-715. (in Chinese)

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    WANG Meng-jun, YANG Lu, WANG Xia, LIU Jian-fei. Realization of within-class feature extracting based on Euclidean-like distance transform for traffic signs using simplied PCNN[J]. Optics and Precision Engineering, 2012, 20(12): 2751
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