High-Speed, Noncontact Digital Imaging System for Inspection of Hot-Mix Asphalt Pavements
Publication: Journal of Transportation Engineering
Volume 134, Issue 6
Abstract
This paper discusses the results of the field experimentation of a new system developed to help inspect the construction of asphalt pavements using digital video images. The system computes the gray-level co-occurrence matrix of images of newly constructed pavements to find various parameters that are commonly used in visual texture analysis. Using principal component analysis to integrate multivariable data into a single classifier, Hotelling’s statistic, the system creates a list of the location of possible nonuniformities that require closer inspection. A total of 18 continuous road segments of recently paved roads were tested and analyzed with the system. These road segments allowed the refinement of the methodology and the software needed to produce tables and plots that will be used by inspection personnel in the field. The results demonstrated the capability of the system for detecting potential nonuniformities of recently completed pavements that can be used during construction as well as in the final inspection process. More testing is recommended under actual construction conditions to verify the system’s capabilities.
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References
Aparisi, F., and Haro, C. (2001). “Hotelling’s control chart with variable sampling intervals.” Int. J. Prod. Res., 39(14), 3127–3140.
Asphalt Education Partnership (AEP). (2006). “Facts about asphalt.” Guides for teachers, http://www.beyondroads.com (Aug. 24, 2006 ).
de León, E., and Flintsch, G. W. (2006). “A noncontact system to detect and quantify segregation in hot-mix asphalt pavements.” Proc., Application of Advanced Technology in Transportation, ASCE, Chicago, 93–98.
de León, E., and Flintsch, G. W. (2007). “Application of digital image to measure hot-mix asphalt homogeneity.” J. Assoc. Asph. Paving Technol., 76, 41–58.
de León, E., Flintsch, G. W., and Abbott, A. L. (2007). “Measuring the uniformity of hot-mix asphalt pavements with digital image technology.” Presented at the 86th Annual Meeting of the Transportation Research Board (CD-ROM), Washington, D.C.
Duda, R., Hart, P., and Stork, D. (2001). Pattern classification, Wiley, New York.
Flintsch, G. W., de León, E., McGhee, K. K., and Al-Qadi, I. L. (2003). “Pavement surface macrotexture: Measurement and application.” Transportation Research Record. 1860, National Research Council, Transportation Research Board, Washington, D.C., 168–177.
Flintsch, G. W., McGhee, K. K., and de León, E. (2005). “Field validation of macrotexture-based hot-mix asphalt segregation detection methods.” Electron. J. Assoc. Asph. Paving Technol., 74, 1–21.
Haralick, R., and Shapiro, L. (1992). Computer and robot vision, Vol. 1, Addison-Wesley, Reading, Mass.
Johnson, R., and Wichern, D. (2002). Applied multivariate statistical analysis, Prentice-Hall, Englewood Cliffs, N.J.
MATLAB. (2005a). MATLAB image processing toolbox, The Math Works, Inc., Natick, Mass.
MATLAB. (2005b). MATLAB statistics toolbox, The Math Works, Inc., Natick, Mass.
Rowe, G., Meegoda, J., Jumikis, A., sharrock, M., Bandara, N., and Hettiarachchi, C. (2004). “NJTxtr—A computer program based on LASER to monitor asphalt segregation.” J. Constr. Eng. Manage., 130(6), 924–934.
Stroup-Gardiner, M., and Brown, E. R. (2000). “Segregation of hot-mix asphalt pavements.” NCHRP Rep. 441, National Research Council, Transportation Research Board, Washington, D.C.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 134 • Issue 6 • June 2008
Pages: 246 - 254
Copyright
© 2008 ASCE.
History
Received: Jan 5, 2007
Accepted: Jun 12, 2007
Published online: Jun 1, 2008
Published in print: Jun 2008
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