Detection of Defects in Road Surface by a Vision System

Tien Sy Nguyen (1) , Manuel Avila (1) , Stéphane Begot (1) , Jean-Christophe Bardet (1)

1 PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique

This paper presents a real-time method for crack detection used in our apparatus of road characterisation - AMAC . The method based on a set of image processing tasks : bi-level thresholding, morphological operation, and projection. The method have been tested on three kinds of images: the first ones are images taken in laboratory in static mode and 'ideal' lighting condition, the second ones are static images taken by a normal camera in static mode without control of lighting condition and the third ones are images acquired by AMAC . The result of these tests, in addition, verified the quality of the apparatus AMAC in acquiring road images.

Mots clés: texture analysis; Edge detection; defect detection; pavement cracks detection; quality control; road inspection; texture analysis.

Domaines: Automatique / Robotique

Tien Sy Nguyen, Manuel Avila, Stéphane Begot, Jean-Christophe Bardet. Detection of Defects in Road Surface by a Vision System. Electrotechnical Conference, The 14th IEEE Mediterranean, 2008, AJACCIO, France. pp.847 - 851. ⟨hal-00666928⟩