Analysis of Segmentation Algorithms for Pavement Distress Images
Publication: Journal of Transportation Engineering
Volume 119, Issue 6
Abstract
Collection and analysis of pavement distress data is an important component of any pavement‐management system. Various systems are currently under development that automate this process. They consist of appropriate hardware for the acquisition of pavement distress images and, in some cases, software for the analysis of the collected data. An important step in the automatic interpretation of images is segmentation, the process of extracting the objects of interest (distresses) from the background. We examine algorithms for segmenting pavement images and evaluate their effectiveness in separating the distresses from the background. The methods examined include the Otsu method, Kittler's method, a modified relaxation method, and a method based on a threshold estimated by regression analysis. Comparison of the algorithms on a data set of asphalt pavement images indicates that the relaxation and regression thresholding methods consistently outperform the other methods. The regression thresholding method has the potential to become the method of choice due to its computational advantage over the relaxation method.
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References
1.
“The AASHTO road test.” (1962). Special Report No. 61A‐61G, Highway Research Board, Washington, D.C.
2.
Bhanu, B., and Faugeras, O. (1982). “Segmentation of images having unimodal distributions.” IEEE Trans. on Pattern Anal. and Mach. Intell., 4(4), 408–419.
3.
Butler, B. C. (1989). “Pavement surface distress segmentation using real time imaging.” Proc. 1st Int. Conf. on Applicatons of Advanced Tech. in Transp. Engrg., C. Hendrickson and K. Sinha, eds., ASCE, 39–45.
4.
Caroff, G., Joubert, P., Prudhomme, F., and Soussain, G. (1989). “Classification of pavement distresses by image processing (MACADAM SYSTEM).” Proc. 1st Int. Conf. on Applications of Advanced Tech. in Transp. Engrg., C. Hendrickson and K. Sinha, eds., ASCE, 46–51.
5.
Chan, K. B., Soetandio, S., and Lytton, R. L. (1989). “Distress identification by an automatic thresholding technique,” presented at the International Conference on Application of Advanced Technologies in Transportation Engineering, San Diego, Calif.
6.
“Collection and use of pavement condition data.” (1981). Synthesis of Highway Practice No. 76, Nat. Cooperative Highway Res. Program, Washington, D.C.
7.
Fukuhara, T., Terada, K., Nagao, M., Kasahara, A., and Ichihashi, S. (1989). “Automatic pavement distress survey system.” Proc. 1st Int. Conf. on Applications of Advanced Tech. in Transp. Engrg., C Hendrickson and K. Sinha, eds., ASCE, 33–38.
8.
Gonzalez, R. C., and Wintz, P. (1987). Digital image processing. Addison‐Wesley Publishing Co., Reading, Mass.
9.
Haas, C., and McNeil, S. (1990). “Criteria for evaluating pavement imaging systems.” Transp. Res. Record, 1260, 64–73.
10.
Hudson, W. R., Elkins, G. E., Uddin, W., and Reilley, K. T. (1987). “Improved methods and equipment to conduct pavement distress surveys.” Report No. FHWA‐TS‐87‐213, Dept. of Transp., Washington, D.C.
11.
Jeyapalan, K., Cable, J. K., and Welper, R. (1987). “Automated pavement data collection equipment.” Report No. FHWA‐DP‐72‐2.
12.
Kittler, J., Illingworth, J., Foglein, J., and Paler, K. (1984). “An automated thresholding algorithm and its performance.” Proc. 7th Int. Conf. on Pattern Recognition, Institute of Electrical and Electronics Engineers, 287–289.
13.
Kittler, J., and Illingworth, J. (1986). “Minimum error thresholding.” Pattern Recognition, 19(1), 41–47.
14.
Koutsopoulos, H. N., and El Sanhouri, I. (1991). “Methods and algorithms for automated analysis of pavement images.” Transp. Res. Record, 1311, 103–111.
15.
Maser, K. R. (1987). Computational techniques for automating visual inspection. Dept. of Civ. Engrg., Massachusetts Inst. of Tech., Cambridge, Mass.
16.
Otsu, N. (1979). “A threshold selection method for gray level histograms.” IEEE Trans. on Syst., Man, and Cybern., 9(1), 62–66.
17.
Paterson, W. D. O. (1987). Road deterioration and maintenance effects: Models for planning and management. John Hopkins Univ. Press, Baltimore, Md.
18.
Rosenfeld, A., and Smith, R. C. (1981). “Thresholding using relaxation.” IEEE Trans. Pattern Anal. and Mach. Intell., 3(5), 598–606.
19.
Sahoo, P. K., Soltani, S., and Wong, A. K. C. (1988). “A survey of thresholding techniques.” Comput. Vision, Graphics, and Image Processing, 41(2) 233–260.
20.
Shahin, M., and Kohn, S. D. (1981). “Pavement maintenance management for roads and parking lots.” Report TR M‐294, Constr. Engrg. Res. Lab., U.S. Army Corps of Engrs., Champaign, Ill.
21.
Smith, R. E., Darter, M. I., and Herrin, S. M. (1979). “Highway pavement distress identification manual.” Interim Report, FHWA Contract No. DOT‐FH‐11‐1975/NCHRP Project 1‐19, Univ. of Illinois, Urbana, Ill., Mar.
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Copyright © 1993 American Society of Civil Engineers.
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Received: Feb 11, 1991
Published online: Nov 1, 1993
Published in print: Nov 1993
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