Detection of Defects in Road Surface by a Vision System

被引:0
|
作者
Sy, N. T. [1 ]
Avila, M. [2 ]
Begot, S. [2 ]
Bardet, J. C. [2 ]
机构
[1] Vectra Rd Engn Co, ZI Route Tours, F-36500 Buzancais, France
[2] Univ Orleans, PRISME Inst, MCDS Team, F-36000 Orleans, France
关键词
edge detection; defect detection; pavement cracks detection; quality control; road inspection; texture analysis;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a real-time method for crack detection used in our apparatus of road characterisation AMAC (R) 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 (R). The result of these tests, in addition, verified the quality of the apparatus AMAC (R) in acquiring road images.
引用
收藏
页码:826 / +
页数:2
相关论文
共 50 条
  • [31] Online Stamping Parts Surface Defects Detection Based on Machine Vision
    Chen Guangfeng
    Guan Guanyang
    Wei Xin
    LASER & OPTOELECTRONICS PROGRESS, 2018, 55 (01)
  • [32] ARTIFICIAL VISION - DETECTION AND FILING OF SURFACE-DEFECTS ON PICKLED SHEET
    HENRY, D
    PERMANE, P
    DUBUISSON, Y
    REVUE DE METALLURGIE-CAHIERS D INFORMATIONS TECHNIQUES, 1992, 89 (7-8): : 645 - 654
  • [33] A vision-based nondestructive detection network for rail surface defects
    Bai S.
    Yang L.
    Liu Y.
    Neural Computing and Applications, 2024, 36 (21) : 12845 - 12864
  • [34] Research on Detection Method of Sheet Surface Defects Based on Machine Vision
    Huang, Yuanmin
    Yi, Ming
    Yang, Weihang
    Yang, Man
    2020 ASIA CONFERENCE ON GEOLOGICAL RESEARCH AND ENVIRONMENTAL TECHNOLOGY, 2021, 632
  • [35] A computer vision system for the detection and classification of vehicles at urban road intersections
    Messelodi, S
    Modena, CM
    Zanin, M
    PATTERN ANALYSIS AND APPLICATIONS, 2005, 8 (1-2) : 17 - 31
  • [36] A vision-based system for automatic detection and extraction of road networks
    Poullis, Charalambos
    You, Suya
    Neumann, Ulrich
    2008 IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION, 2008, : 27 - 34
  • [37] A computer vision system for the detection and classification of vehicles at urban road intersections
    Stefano Messelodi
    Carla Maria Modena
    Michele Zanin
    Pattern Analysis and Applications, 2005, 8 : 17 - 31
  • [38] Image Augmentation Techniques for Road Sign Detection in Automotive Vision System
    Bugiel, Paulina
    Izydorczyk, Jacek
    Sulkowski, Tomasz
    ARTIFICIAL INTELLIGENCE METHODS IN INTELLIGENT ALGORITHMS, 2019, 985 : 229 - 242
  • [39] Surface Classification for Road Distress Detection System Enhancement
    Gavilan, M.
    Balcones, D.
    Sotelo, M. A.
    Llorca, D. F.
    Marcos, O.
    Fernandez, C.
    Garcia, I.
    Quintero, R.
    COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2011, PT I, 2012, 6927 : 600 - 607
  • [40] Automatic Vision System and method for Detecting Defects on Nickel Foam Surface
    Li, Jianqi
    Cao, Binfang
    Zhou, Zhigang
    Qian, Zijun
    Zhu, Jiang
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 1637 - 1642