TECHNICAL PAPERS
Sep 1, 1992

Histogram‐Based Approach for Automated Pavement‐Crack Sensing

Publication: Journal of Transportation Engineering
Volume 118, Issue 5

Abstract

This paper presents work towards the use of histogram‐based machine vision for the automated sensing of unprepared cracks in highway pavement. Machine vision is being developed for purposes of identifying and locating cracks in the size range from 1/8 to 1 in. (3–25 mm) in width in both asphalt concrete (AC) and portland cement concrete (PCC) pavements. The machine vision being developed is intended to work in real time in an automated crack‐sealing machine that will operate at approximately 2 mph. The method is based on segmenting the pavement image into a grid of tiles, and then representing each tile's properties by histogram‐based parameters. Comparison to a localized set of tiles provides information of crack existence and direction. This paper presents preliminary results showing the capability of the approach to find unprepared cracks in real pavements, and additionally, remaining work that will lead to its real‐time implementation is discussed.

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Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 118Issue 5September 1992
Pages: 700 - 710

History

Published online: Sep 1, 1992
Published in print: Sep 1992

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Authors

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K. R. Kirschke
Civ. Engr., Office of New Tech. and Res. Mgmt., California Dept. of Transp., 5900 Folsom Blvd., Sacramento, CA 95819
S. A. Velinsky
Assoc. Prof., Dept. of Mech., Aeronautical, and Materials Engrg., Univ. of California, Davis, Davis, CA 95616

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