Detection of defects in road surface by a vision system

Author

Sy, N.T. ; Avila, M. ; Begot, S. ; Bardet, J.C.

Author_Institution

Vectra Road Eng. Co., Buzancais

fYear

2008

fDate

5-7 May 2008

Firstpage

847

Lastpage

851

Abstract

This paper presents a real-time method for crack detection used in our apparatus of road characterisation - AMACreg. 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 ldquoideal rdquo 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 reg. The result of these tests, in addition, verified the quality of the apparatus AMAC reg in acquiring road images.

Keywords

crack detection; image processing; image processing equipment; optical images; quality control; real-time systems; roads; surface cracks; surface morphology; AMACreg; bi-level thresholding; crack detection; image processing tasks; image projection; morphological operation; quality control; real-time method; road images; road inspection; road surface; vision system; Cameras; Image processing; Laboratories; Lighting control; Machine vision; Morphological operations; Roads; Surface cracks; Surface morphology; Testing; analysis; defect detection; edge detection; pavement cracks detection; quality control; road inspection; texture;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 2008. MELECON 2008. The 14th IEEE Mediterranean

Conference_Location

Ajaccio

Print_ISBN

978-1-4244-1632-5

Electronic_ISBN

978-1-4244-1633-2

Type

conf

DOI

10.1109/MELCON.2008.4618541

Filename

4618541