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Pavement surface distress evaluation using video image analysis

Acosta, Jesus-Adolfo
http://rave.ohiolink.edu/etdc/view?acc_num=case1057760579

Abstract Details

1994, Doctor of Philosophy, Case Western Reserve University, Civil Engineering.
Maintenance and repair of the highway network accounts for one of the major expenses in the federal and state budget. Pavement Management Systems (PMS) have been implemented by Departments of Transportation and other transportation agencies to optimize the allocation of these funds. One of the most important inputs to a PMS is the pavement surface evaluation. Rating systems where pavement distress is measured by type, extent and severity, have been used extensively in order to quantify pavement surface condition. In most instances, these systems are both tedious and time consuming. Distress measurement is also subjective, which affects the precision of the rating. Identification and quantification of distress types are possible by automatic analysis of images captured by a microcomputer from video or film recordings. The present research describes the implementation of the PCR-Video System, which allows the identification and classification of most common pavement distress types. Depth and distance measurement devices were installed in a survey vehicle and connected to an on board microcomputer to determine the distance traveled and to allow the identification and quantification of depth related distress types. A bar color code method was developed to inscribe distance and depth readings onto the video S-VHS tape player, an image capturing board and a workstation was assembled. A set of images is digitized by the image capturing board and stored in main memory to remove overlapping areas present in consecutive frames. The Vertical & Horizontal Region Segmentation method was developed to eliminate the drawbacks found in conventional image segmentation approaches. A logic-based classification approach was also developed for cluster classification. The system when combined with a rating procedure, such as the PCR produces a quantitative measurement of pavement condition. Finally, the pavement inventory data file can be updated with the new pavement ratings. The system was validated by rating four roadway sections, previously inspected manually. The automated results showed very good correlation with the visually obtained ratings.
J. Figueroa (Advisor)
256 p.
Engineering, Civil
Pavement surface; distress evaluation; video image analysis

Recommended Citations

Citations

  • Acosta, J.-A. (1994). Pavement surface distress evaluation using video image analysis [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1057760579

    APA Style (7th edition)

  • Acosta, Jesus-Adolfo. Pavement surface distress evaluation using video image analysis. 1994. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1057760579.

    MLA Style (8th edition)

  • Acosta, Jesus-Adolfo. "Pavement surface distress evaluation using video image analysis." Doctoral dissertation, Case Western Reserve University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=case1057760579

    Chicago Manual of Style (17th edition)

case1057760579
1,243
© 1994, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.