Real-time image thresholding based on sample space reduction and interpolation approach

Journal of Computing in Civil Engineering

Volumn 17, Issue 4, 2003, Pages 264-272

  Cheng, H D ^a   Shi, X J ^a   Glazier, C ^b  

^a Utah State Univ ^*  (United States)

^b Utah Department of Transportation   (United States)

Author keywords

Cracking; Imaging techniques; Pavements; Spacing

Indexed keywords

PAVEMENT CRACKS; PAVEMENT MANAGEMENT; PIXEL INTENSITIES; SPACING;

CRACKS; DEFORMATION; IMAGING TECHNIQUES; INTERPOLATION; NEURAL NETWORKS; PAVEMENTS; ROADS AND STREETS;

REAL TIME SYSTEMS;

EID: 16444370257     PISSN: 08873801     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0887-3801(2003)17:4(264)     Document Type: Article

References (16)

1. Cheng, H. D., Chen, J. R., Glazier, C., and Hu, Y. G. (1999a). "Novel approach to pavement distress detection based on fuzzy set theory." J. Comput. Civ. Eng., 13(4), 270-280.
2. Cheng, H. D., Jing, X., Li, J., and Glazier, C. (1999b). "Automated real-time pavement distress analysis." Transportation Research Record 1655, Transportation Research Board, Washington, D.C., 55-64.
3. Cheng, H. D., and Miyojim, M. (1998). "Novel system for automatic pavement distress detection." J. Comput. Civ. Eng., 12(3), 145-152.
4. Cheng, H. D., Wang, J., Hu, Y. G., Glazier, C., Shi, X. J., and Chen, X. W. (2001). "A novel approach to pavement cracking detection based on neural network." Transportation Research Record 1764, Transportation Research Board, Washington, D.C., 119-127.
5. Chou, J. C., O'Neill, W. A., and Cheng, H. D. (1995). "Pavement distress evaluation using fuzzy logic and moment invariants." Transp. Res. Rec. 1505, Transportation Research Board, Washington, D.C., 39-46.
6. Fu, K. S., and Mui, J. K. (1981). "A survey on image segmentation." Pattern Recogn., 13, 3-16.
7. Guralnick, S. A., Sun, E. S., and Smith, C. (1993). "Automating inspection of highway pavement surfaces." J. Transp. Eng., 119(1), 1-12.
8. Haas, C., and Hendrickson, C. (1990). "Computer-based model of pavement surfaces." Transp. Res. Rec. 1260, Transportation Research Board, Washington, D.C., 91-98.
9. Hass, C., and McNeil, S. (1990). "Criteria for evaluating pavement imaging systems." Transp. Res. Rec. 1260, Transportation Research Board, Washington, D.C., 64-73.
10. Koutsopoulos, H. N., Mishalani, R. G., and Downey, A. B. (1991). "Automated analysis of pavement distress data." Proc., 2nd Int. Conf. on Applications of Advanced Technologies in Transportation Engineering, 233-237.
11. Koutsopoulos, H. N., and Sanhouri, I. E. (1991). "Methods and algorithms for automated analysis of pavement images." Transp. Res. Rec. 1311, Transportation Research Board, Washington, D.C., 103-111.
12. Li, L., Chan, P., Rao, A., and Lytton, R. L. (1991). "Flexible pavement distress evaluation using image analysis." Proc., 2nd Int. Conf. on Applications of Advanced Technologies in Transportation Engineering, ASCE, New York, 473-477.
13. Mohajeri, M. H., and Manning, P. J. (1991). "ARIA: an operating system of pavement distress diagnosis by image processing." Transp. Res. Rec. 1311, Transportation Research Board, Washington, D.C., 120-130.
14. Stork, D. G., Duda, R. O., and Hart, P. E. (2000). "Introduction to recognition systems." Pattern Classification, August, 517-599.
15. Tsao, S., Kehtarnavaz, N., Chan, P., and Lytton, R. (1994). "Image-based expert-system approach to distress detection on CRC pavement." J. Transp. Eng., 120(1), 52-64.
16. Walker, R. S., and Harris, R. L. (1991). "Noncontact pavement crack detection system." Transp. Res. Rec. 1311, Transportation Research Board, Washington, D.C., 149-157.