Optics and Precision Engineering, Volume. 18, Issue 8, 1869(2010)

Application of automatic image enhancing technique to road defect detection systems

ZHANG Da-qi*, QU Shi-ru, and HE Li
Author Affiliations
  • [in Chinese]
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    References(13)

    [1] [1] WANG K C P. Designs and implementations of automated systems for pavement surface distress survey[J]. Journal of Infrastructure Systems, 2000,6(1):24-32.

    [2] [2] LI L, CHAN P, LYTTON R L. Images detection of thin cracks on noisy pavement[J]. Transportation Research Record, 1991,1311:131-135.

    [3] [3] JIANG B, LIU SH R. Development of research on pavement distress automatic inspection based on image identify[J]. Northeastern Highway, 2002,25(3):19-21. (in Chinese)

    [4] [4] CHOU J C, O’NEIL W A. Pavement distress evaluation using fuzzying logic and moment invariants[R]. Transportation Research Record, 1505, Transportation Research Board, Washington D C:144-148.

    [5] [5] WANG R B, WANG CH, CHU X M. Developments of research on road pavement surface distress image recognition[J]. Journal of Jilin University(Engineering and Technology Edition), 2002,32(4):91-96. (in Chinese)

    [6] [6] PAL S K, KING R A. Image enhancement using fuzzy sets[J]. Electronics Letters, 1980,16(9):376-378.

    [7] [7] CHENG H D, CHEN J R, GLAZIER C, et al. Novel approach to pavement distress detection based on fuzzy set theory[J]. Journal of Computing in Civil Engineering, 1999,13(4):270-280. (in Chinese)

    [13] [13] SHI F ZH. CAGD & NURBS[M]. Beijing: Higher Education Press, 2001.(in Chinese)

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    ZHANG Da-qi, QU Shi-ru, HE Li. Application of automatic image enhancing technique to road defect detection systems[J]. Optics and Precision Engineering, 2010, 18(8): 1869

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    Paper Information

    Category:

    Received: Apr. 9, 2009

    Accepted: --

    Published Online: Dec. 7, 2010

    The Author Email: ZHANG Da-qi (dqzhang2005@yahoo.com.cn)

    DOI:

    CSTR:32186.14.

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