[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] LI L, CHAN P, LYTTON R L. Images detection of thin cracks on noisy pavement[J]. Transportation Research Record, 1991,1311:131-135.
[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] 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] 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] PAL S K, KING R A. Image enhancement using fuzzy sets[J]. Electronics Letters, 1980,16(9):376-378.
[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] SHI F ZH. CAGD & NURBS[M]. Beijing: Higher Education Press, 2001.(in Chinese)