Chung-Hua University Repository:Item 987654321/33959
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 8557/14866 (58%)
Visitors : 1404329      Online Users : 1771
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
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/33959


    Title: Intelligent Segmentation Method for Real-Time Defect Inspection System
    Authors: 邱奕契
    Chiou, Yih-Chih
    Contributors: 機械工程學系
    Mechanical Engineering
    Keywords: Segmentation;Feature Extraction;Flaw Detection;Decision Tree;Neural Networks
    Date: 2010
    Issue Date: 2014-06-27 02:35:10 (UTC+8)
    Abstract: To extract desired flaws from various types of images, the integration of different segmentation methods is required. In this study, we present an intelligent method for automatic selection of a proper image segmentation method upon detecting a particular
    Appears in Collections:[Department of Mechanical Engineering] Journal Articles

    Files in This Item:

    File Description SizeFormat
    p_m211_0091.pdf25KbAdobe PDF124View/Open


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

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