Development of digital image-processing algorithm to compute unified crack index for Salt Lake City

Transportation Research Record

Volumn , Issue 1526, 1996, Pages 142-148

  Jitprasithsiri, Siriphan ^a   Lee, Hosin ^a   Sorcic, Robert G ^b   Johnston, Richard ^b  

^a Department of Electrical and Computer Engineering   (United States)

^b Engineering Division   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CALCULATIONS; CAMERAS; CRACKS; DIGITAL IMAGE STORAGE; DIGITAL SIGNAL PROCESSING; IMAGE PROCESSING; PERSONAL COMPUTERS; SURFACES; SURVEYS;

PIXELS; UNIFIED CRACK INDEX; VARIABLE THRESHOLDING TECHNIQUE;

PAVEMENTS;

EID: 0030287752     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1526-18     Document Type: Article

References (42)

1. Hudson, W. R., and R. Haas. Future Directions and Need for Innovation in Pavement Management. Proc. 1, 3rd International Conference on Managing Pavements, Vol. 2, TRB, National Research Council, Washington, U.C., 1994, pp. 122-130.
2. Lee, H. Accuracy, Precision, Repeatability and Compatibility of Pavedex PAS 1 Automated Distress Measuring Device. In Transportation Research Record 1311, TRB, National Research Council, Washington, D.C., 1991, pp. 136-143.
3. Mahoney, J. P. Automated Evaluation Output (Or What Pavement Engineers Really Want to Know). Proc., Automated Pavement Distress Data Collection Equipment Seminar, Ames, Iowa, 1990, pp. 187-194.
4. Ritchie, G. Digital Imaging Concepts and Applications in Pavement Management. Journal of Transportation Engineering, Vol. 116, No. 3, ASCE, New York, 1990, pp. 287-298.
5. Lee, H. Standardization of Distress Measurements for the Network-Level Pavement Management System. In Pavement Management Implementation, ASTM STP 1121 (F. B. Holt and W. L. Gramling, eds.), American Society for Testing and Materials, Philadelphia, Pa., 1992, pp. 424-416.
6. Gonzalez, R. C., and P. Wintz. Digital Image Processing, 2nd ed. Addisson-Wesley Publishing Co. Inc., Menlo Park, Calif., 1987.
7. Proc., 1st International Conference on Applications of Advanced Technologies in Transportation Engineering (C. Hendrickson and K. Sinha, eds.). ASCE, San Diego, Calif., 1989.
8. Proc., Automated Pavement Distress Data Collection Equipment Seminar. Ames, Iowa, 1990.
9. Proc., 2nd International Conference on Applications of Advanced Technologies in Transportation Engineering (Y. Stephanedes and K. Sinha, eds.) ASCE, Minneapolis, Minn., 1991.
10. Chan, K. B., S. Soetandio, and R. L. Lytton. Distress Identification by an Automatic Thresholding Technique. Proc., 1st International Conference on Applications of Advanced Technologies in Transportation Engineering, ASCE, San Diego, Calif., 1989, pp. 468-473.
11. Chan, P., L. Li, A. Rao, and R. L. Lytton. Automatic Pavement Crack Detection System. Presented at the 72nd Annual Meeting of the Transportation Research Board, Washington, D.C., 1993.
12. Ritchie, S. G., M. Kaseko, and B. Bavarian. Development of an Intelligent System for Automated Pavement Evaluation. In Transportation Research Record 1311, TRB, National Research Council, Washington, D.C., 1991, pp. 112-119.
13. Kirschke, K. R., and S. A., Velinsky. Histogram-Based Approach for Automated Pavement-Crack Sensing. Journal of Transportation Engineering, Vol. 119, No. 3, ASCE, New York, 1992, pp. 700-710.
14. Koutsopoulos, H. N., R. G. Mishalani, and A. B. Downey. Automated Analysis of Pavement Distress Data. Proc., 2nd International Conference on Applications of Advanced Technologies in Transportation Engineering, ASCE, Minneapolis, Minn., 1991, pp. 233-237.
15. Koutsopoulos, H. N., and I. El Sanhouri. Methods and Algorithms for Automated Analysis of Pavement Images. In Transportation Research Record 1311, TRB, Washington, D.C., 1991, pp. 103-111.
16. Koutsopoulos, H. N., and A. B. Downey. Primitive-Based Classification of Pavement Cracking Images. Journal of Transportation Engineering, Vol. 119, No. 3, ASCE, New York, 1993, pp. 402-418.
17. Koutsopoulos, H. N., I. El Sanhouri, and A. B. Downey. Analysis of Segmentation Algorithms for Pavement Distress Analysis. Journal of Transportation Engineering, Vol. 119, No. 6, ASCE, New York, 1993, pp. 868-887.
18. Acosta, J. A., J. L. Figueroa, and R. L. Mullen. Feasibility Study to Implement the Video Image Processing Technique for Evaluating Pavement Surface Distress in the State of Ohio. Report FHWA/ OH-91/010. Case Western Reserve University, Cleveland, Ohio, 1992.
19. Acosta, J. A., J. L. Figueroa, and R. L. Mullen Implementation of the Video Image Processing Technique for Evaluating Pavement Surface Distress in the State of Ohio. Report FHWA/OH-94/005. Case Western Reserve University, Cleveland, Ohio, 1994.
20. Lee, H., and H. Oshima. New Automated Crack Imaging Procedure Using Spatial Autocorrelation Functions. Journal of Transportation Engineering, ASCE, New York, March 1994.
21. Kaseko, M. S., and S. G. Ritchie. Pavement Image Processing Using Neural Networks. Proc., 2nd International Conference on Applications of Advanced Technologies in Transportation Engineering, ASCE, Minneapolis, Minn., 1991, pp. 238-242.
22. Haas, C., H. Shen, and R. Haas. ADDA SYSTEM I (Automated Pavement Distress Data Acquisition and Evaluation System). Report 21156. MTC, Ontario, Canada, 1985.
23. Butler, Jr., B. C. Pavement Surface Distress Segmentation Using Real Time Imaging. Proc., 1st International Conference on Applications of Advanced Technologies in Transportation Engineering, ASCE, San Diego, Calif., 1989, pp. 39-45.
24. McDaniel, L. D., B. Butler, R. Merrill, and X. Zhang. Image Processing for Pavement Distress Measurement: the Pavement Distress Imager-I. Presented at the 68th Annual Meeting of the Transportation Research Board, Washington, D.C., 1989.
25. Caroff, G., P. Joubert, F. Prudhomme, and G. Soussain. Classification of Pavement Distress by Image Processing. Proc., 1st International Conference on Applications of Advanced Technologies in Transportation Engineering, ASCE, San Diego, Calif., 1989, pp. 46-51.
26. Caroff, G., P. Leycure, F. Prudhomme, G. Soussain. MACADAM (1): An Operating System of Pavement Deterioration Diagnosis by Image Processing. Presented at the 69th Annual Meeting of the Transportation Research Board, Washington, D.C., 1990.
27. Fukuhara, T., K. Terada, M. Nagao, A. Kasahara, and S. Ichihashi. Automatic Pavement-Distress-Survey System. Journal of Transportation Engineering, Vol. 116, No. 3, ASCE, New York, 1990, pp. 280-286.
28. Lee, H. Evaluation of Pavedex Computerized Pavement Image Processing System in Washington. Proc., Automated Pavement Distress Data Collection Equipment Seminar. Ames, Iowa, 1990.
29. Mohajeri, M. H., and P. J. Manning. ARIA: An Operating System of Pavement Distress Diagnosis by Image Processing. In Transportation Research Record 1311, TRB, National Research Council, Washington, D.C., 1991, pp. 120-130.
30. Paterson, W. D. O. Road Deterioration and Maintenance Effects: Models for Planning and Management. The Johns Hopkins University Press, Baltimore, Md., 1987.
31. Kittler, J., and J. Illingworth. Minimum Error Thresholding. Pattern Recognition, Vol. 19, No. 1, 1986, pp. 41-47.
32. Dougherty, E. R., and C. R. Giardina. Matrix-Structured Image Processing. Prentice-Hall, Inc., Englewood Cliffs, N.J., 1987.
33. Li, L., P. Chan, A. Rao, and R. L. Lytton. Flexible Pavement Distress Evaluation Using Image Analysis. Proc., 2nd International Conference on Applications of Advanced Technologies in Transportation Engineering, ASCE, Minneapolis, Minn., 1991, pp. 473-477.
34. Li, L., P. Chan, and R. L. Lytton. Detection of Thin Cracks on Noisy Pavement Images. In Transportation Research Record 1311, TRB, National Research Council, Washington, D.C., 1991, pp. 131-135.
35. Otsu, N. A Threshold Selection Method from Gray-Level Histogram. IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-9, No. 1, 1979, pp. 62-66.
36. Kittler, J., J. Illingworth, and J. Föglen. Threshold Selection Based on a Simple Image Statistic. Computer Vision, Graphics, and Image Processing, Vol. 30, 1985, pp. 125-147.
37. Rosenfeld, A., R. A. Hummel, and S. W. Sucker. Scene Labeling by Relaxation Operations. IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-6, No. 6, 1976, pp. 420-433.
38. Rosenfeld, A., and R. C. Smith. Thresholding Using Relaxation. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-3, No. 5, 1981, pp. 598-606.
39. Hamilton, L. C. Regression With Graphics: A Second Course in Applied Statistics. Brooks/Cole Publishing Company, Calif., 1992.
40. Paterson, W. D. Proposal of Universal Cracking Indicator for Pavements. In Transportation Research Record 1455, TRB, National Research Council, Washington, D.C., 1994, pp. 69-75.
41. Beattie, J. Threshold Selection in the Presence of Noise. Proc., 2nd International Conference on Image Processing and Its Applications, Institute of Electrical Engineers, London, United Kingdom, 1986, pp. 112-116.
42. Joyce-Loebl. Image Analysis: Principle and Practice. A. Vicker Company, United Kingdom, 1985.