English  |  正體中文  |  简体中文  |  Items with full text/Total items : 56552/90363 (63%)
Visitors : 11825014      Online Users : 130
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37790

    Title: A prompt contour detection method
    Authors: Lin, Hwei-Jen;Kao, Yang-Ta
    Contributors: 淡江大學資訊工程學系
    Keywords: 輪廓偵測;邊緣偵測;電腦視覺;物件偵測;影像處理;邊界;Contour Detection;Edge Detection;Computer Vision;Object Detection;Image Processing;Boundary
    Date: 2001-09-26
    Issue Date: 2010-01-11 14:08:53 (UTC+8)
    Publisher: Taipei : Tamkang University
    Abstract: Edge detection plays an important role in many domains, such ascomputer vision, pattern recognition and content-based image retrievalsystems. In this paper, we propose a method for prompt contourdetection to extract the boundaries of objects from an image. Comparedwith conventional methods, the proposed method significantly reducesthe amount of calculation. Furthermore, it overcomes the multipleobjects detection problem in the active contour method. Theexperimental results confirmed the efficiency and robustness of thismethod.
    Relation: Proceedings of the Seventh International Conference on Distributed Multimedia Systems (DMS 2001),頁439-443
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    A+Continuous+Media+Placement+Scheme+in+Multi-Zone+Disks_西文摘要.pdf55KbAdobe PDF60View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

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