Detection of Defects in Road Surface by a Vision System
Overview & Synopsis
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.
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hal.science)
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Document Information
| Document Title | Detection of Defects in Road Surface by a Vision System |
|---|---|
| Author / Organization | Tien Sy Nguyen, Manuel Avila, Stéphane Begot, Jean-Christophe Bardet |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2008 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-181843 |
| Original Source Link | Visit Source Page on hal.science » |