English  |  正體中文  |  简体中文  |  Items with full text/Total items : 51776/86996 (60%)
Visitors : 8377465      Online Users : 72
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/987654321/45283


    Title: An Improved Shape Matching Technique
    Authors: Kao, Yang-ta;林慧珍;Lin, Hwei-jen;Wu, Hung-husan
    Contributors: 淡江大學資訊工程學系
    Keywords: Transformation-Invariance;Clustering;Mountain Climbing Sequence MCS;Longest Common Subsequence LCS;Selection Algorithm
    Date: 2007-09-01
    Issue Date: 2010-03-26 18:55:32 (UTC+8)
    Publisher: 臺北縣:淡江大學
    Abstract: Shape representation and matching is a not only important but also challenging part in image retrieval. In our previous work, a shape-based image retrieval system was proposed. The Mountain Climbing Sequence (MCS) is used to represent the shape feature of an object, which is invariant to some transformations such as translation, scaling, rotation, and even reversion, and also has a high tolerance for occlusion and noise. In this paper we improve this system, in terms of both retrieval precision and time efficiency, by adopting the Longest Common Subsequence (LCS) matching mechanism to match two MCSs more effectively and utilizing the Selection algorithm to speed up the retrieval process. Experimental results show that the improved system has far better performance. Especially it copes with the occlusion problem very well; that is, it has higher tolerance for occlusion.
    Relation: 淡江理工學刊 = Tamkang journal of science and engineering 10(3), pp.265-274
    DOI: 10.6180/jase.2007.10.3.09
    Appears in Collections:[資訊工程學系暨研究所] 期刊論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML239View/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