Automatic Road Pavement Assessment with Image Processing : Review and Comparison

Joint Authors

Chambon, Sylvie
Moliard, Jean-Marc

Source

International Journal of Geophysics

Issue

Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-20, 20 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2011-10-26

Country of Publication

Egypt

No. of Pages

20

Main Subjects

Physics

Abstract EN

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.

American Psychological Association (APA)

Chambon, Sylvie& Moliard, Jean-Marc. 2011. Automatic Road Pavement Assessment with Image Processing : Review and Comparison. International Journal of Geophysics،Vol. 2011, no. 2011, pp.1-20.
https://search.emarefa.net/detail/BIM-513990

Modern Language Association (MLA)

Chambon, Sylvie& Moliard, Jean-Marc. Automatic Road Pavement Assessment with Image Processing : Review and Comparison. International Journal of Geophysics No. 2011 (2011), pp.1-20.
https://search.emarefa.net/detail/BIM-513990

American Medical Association (AMA)

Chambon, Sylvie& Moliard, Jean-Marc. Automatic Road Pavement Assessment with Image Processing : Review and Comparison. International Journal of Geophysics. 2011. Vol. 2011, no. 2011, pp.1-20.
https://search.emarefa.net/detail/BIM-513990

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-513990