English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 13946687      Online Users : 53
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTHU 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://nthur.lib.nthu.edu.tw/dspace/handle/987654321/71829


    Title: Content-based image retrieval system
    Authors: Huang,Chung-Lin;Huang,Dai-Hwa
    教師: 黃仲陵
    Date: 1998
    Publisher: Elsevier
    Relation: Image and Vision Computing, Elsevier, Volume 16, Issue 3, 16 March 1998, Pages 149-163
    Keywords: Image processing
    Computational geometry
    Feature extraction
    Query languages
    Data structures
    Abstract: This paper proposes a Content-Based Images Retrieval (CBIR) system which uses a modified geometric hashing technique to retrieve similar shape images from the image database. The CBIR system is a two-stage image retrieval system: the outline-based image retrieval and the hash-table-based image retrieval. For each object, we extract the feature points to generate the individual hash-table which is constructed by using the geometric properties of every three feature points. In the first retrieval stage, we use the shape parameters of the input sketched query image to select the possible candidate models in the database. The individual hash tables of these candidate models are combined as the global hash table for the second retrieval stage which is a voting process using the invariant indices from the sketched query image and the global hash table. The number of votes indicates the score of matching between the query image and the candidate models. In the experiments, we have illustrated that the CBIR system can accurately retrieve the similar images from the database by using scaled, rotated, or mirrored sketched query images.
    Relation Link: http://www.elsevier.com/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/71829
    Appears in Collections:[電機工程學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML218View/Open


    在NTHUR中所有的資料項目都受到原著作權保護,僅提供學術研究及教育使用,敬請尊重著作權人之權益。若須利用於商業或營利,請先取得著作權人授權。
    若發現本網站收錄之內容有侵害著作權人權益之情事,請權利人通知本網站管理者(smluo@lib.nthu.edu.tw),管理者將立即採取移除該內容等補救措施。

    SFX Query

    與系統管理員聯絡

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