Surface roughness monitoring using computer vision

被引:19
|
作者
Sodhi, MS
Tiliouine, K
机构
[1] Indust. and Mfg. Engineering, University of Rhode Island, 103 G. Gilbreth Hall, Kingston
关键词
D O I
10.1016/0890-6955(96)00082-X
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a comparative experimental surface roughness measurement method based on the speckle pattern caused by a laser beam on a rough surface is presented. Surfaces with known surface roughness are measured using this method to obtain a calibration curve. This information is used to measure surfaces produced by surface grinding, and the results compared with stylus measurements. The online use of this method for tracking the roughness of a workpiece being processed on a surface grinder and to monitor the condition of the grinding wheel is also reported. Copyright (C) 1996 Elsevier Science Ltd.
引用
收藏
页码:817 / 828
页数:12
相关论文
共 50 条
  • [21] Prediction of surface roughness in turning operations by computer vision using neural network trained by differential evolution algorithm
    Yang, S. H.
    Natarajan, U.
    Sekar, M.
    Palani, S.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 51 (9-12): : 965 - 971
  • [22] Prediction of surface roughness in turning operations by computer vision using neural network trained by differential evolution algorithm
    S. H. Yang
    U. Natarajan
    M. Sekar
    S. Palani
    The International Journal of Advanced Manufacturing Technology, 2010, 51 : 965 - 971
  • [23] Intelligent surface roughness measurement using deep learning and computer vision: a promising approach for manufacturing quality control
    Mohamed EL Ghadoui
    Ahmed Mouchtachi
    Radouane Majdoul
    The International Journal of Advanced Manufacturing Technology, 2023, 129 : 3261 - 3268
  • [24] Intelligent surface roughness measurement using deep learning and computer vision: a promising approach for manufacturing quality control
    EL Ghadoui, Mohamed
    Mouchtachi, Ahmed
    Majdoul, Radouane
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 129 (7-8): : 3261 - 3268
  • [25] Intelligent Elderly Monitoring System Using Computer Vision
    Gomez Ceron, Diego
    Gomez Medina, Maria C.
    Quiroz Rojas, Jesus
    Inga-Ortega, Juan
    2024 IEEE COLOMBIAN CONFERENCE ON COMMUNICATIONS AND COMPUTING, COLCOM 2024, 2024,
  • [26] Automated Traffic Monitoring System Using Computer Vision
    Krishna
    Poddar, Madhav
    Giridhar, M. K.
    Prabhu, Amit Suresh
    Umadevi, V
    PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON ICT IN BUSINESS INDUSTRY & GOVERNMENT (ICTBIG), 2016,
  • [27] Monitoring of Namibian Encroacher Bush Using Computer Vision
    Marggraff, Pascal
    Venter, Martin Philip
    AGRIENGINEERING, 2020, 2 (02): : 213 - 225
  • [28] A vision system for surface roughness assessment using neural networks
    Du-Ming Tsai
    Jeng-Jong Chen
    Jeng-Fung Chen
    The International Journal of Advanced Manufacturing Technology, 1998, 14 : 412 - 422
  • [29] Estimation of Soil Surface Roughness Using Stereo Vision Approach
    Azizi, Afshin
    Abbaspour-Gilandeh, Yousef
    Mesri-Gundoshmian, Tarahom
    Farooque, Aitazaz A.
    Afzaal, Hassan
    SENSORS, 2021, 21 (13)