English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90429/105609 (86%)
Visitors : 10306347      Online Users : 424
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    ASIA unversity > 資訊學院 > 資訊傳播學系 > 會議論文 >  Item 310904400/6804

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/6804

    Title: A vision system with automatic learning capability for industrial parts inspection
    Authors: J. C. Lin, W. H. Tsai, J. S. Lee;C. H. Chen
    Contributors: Department of Information Communication
    Date: 1984-3
    Issue Date: 2009-12-23 19:34:19 (UTC+8)
    Publisher: Asia University
    Abstract: A vision system for automated parts inspection is proposed. The system is equipped with learning capabilities such that it automatically selects from a set of sample parts a minimum, but effective inspection region within the camera's field of view for parts discrimination. A binary template is formed within the inspection region which is then used for parts inspection by template matching. The inspection speed is enhanced by keeping the inspection region small and by making the matching task uncomplicated. A simple learning algorithm based on statistical pattern recognition theory is employed, which only requires the system to be taught by a training set of good and defective parts without specific defect identification or location. The system is applicable to most 2-D industrial parts inspection.
    Relation: Proceedings of 1984 IEEE International Conference on Robotics and Automation, Atlanta, Georgia, U.S.A.
    Appears in Collections:[資訊傳播學系] 會議論文

    Files in This Item:

    File Description SizeFormat
    310904400-6804.doc30KbMicrosoft Word209View/Open

    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback