Abstract
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. © 2008 IEEE.
Author supplied keywords
Cite
CITATION STYLE
Sy, N. T., Avila, M., Begot, S., & Bardet, J. C. (2008). Detection of defects in road surface by a vision system. In Proceedings of the Mediterranean Electrotechnical Conference - MELECON (pp. 847–851). https://doi.org/10.1109/MELCON.2008.4618541
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
