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International Journal of Geophysics
Volume 2011, Article ID 989354, 20 pages
Research Article

Automatic Road Pavement Assessment with Image Processing: Review and Comparison

Departement of MACS, Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), 44341 Bouguenais Cedex, France

Received 31 January 2011; Revised 21 May 2011; Accepted 6 June 2011

Academic Editor: Jean Dumoulin

Copyright © 2011 Sylvie Chambon and Jean-Marc Moliard. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In the field of noninvasive sensing techniques for civil infrastructures monitoring, this paper addresses the problem of crack detection, in the surface of the French national roads, by automatic analysis of optical images. The first contribution is a state of the art of the image-processing tools applied to civil engineering. The second contribution is about fine-defect detection in pavement surface. The approach is based on a multi-scale extraction and a Markovian segmentation. Third, an evaluation and comparison protocol which has been designed for evaluating this difficult task—the road pavement crack detection—is introduced. Finally, the proposed method is validated, analysed, and compared to a detection approach based on morphological tools.