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Proceedings Paper

Multiresolution texture analysis applied to road surface inspection
Author(s): Stephane Paquis; Vincent Legeay; Hubert Konik; Jean Charrier
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Paper Abstract

Technological advances provide now the opportunity to automate the pavement distress assessment. This paper deals with an approach for achieving an automatic vision system for road surface classification. Road surfaces are composed of aggregates, which have a particular grain size distribution and a mortar matrix. From various physical properties and visual aspects, four road families are generated. We present here a tool using a pyramidal process with the assumption that regions or objects in an image rise up because of their uniform texture. Note that the aim is not to compute another statistical parameter but to include usual criteria in our method. In fact, the road surface classification uses a multiresolution cooccurrence matrix and a hierarchical process through an original intensity pyramid, where a father pixel takes the minimum gray level value of its directly linked children pixels. More precisely, only matrix diagonal is taken into account and analyzed along the pyramidal structure, which allows the classification to be made.

Paper Details

Date Published: 8 March 1999
PDF: 8 pages
Proc. SPIE 3652, Machine Vision Applications in Industrial Inspection VII, (8 March 1999);
Show Author Affiliations
Stephane Paquis, Lab. Central des Ponts et Chaussees (France)
Vincent Legeay, Lab. Central des Ponts et Chaussees (France)
Hubert Konik, Univ. Jean Monnet (France)
Jean Charrier, Lab. Central des Ponts et Chaussees (France)

Published in SPIE Proceedings Vol. 3652:
Machine Vision Applications in Industrial Inspection VII
Kenneth W. Tobin Jr.; Ning S. Chang, Editor(s)

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