English  |  正體中文  |  简体中文  |  Items with full text/Total items : 60932/93628 (65%)
Visitors : 1251319      Online Users : 7
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: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/60881

    Title: A contour based image segmentation algorithm using morphological edge detection
    Authors: Hsiao, Ying-tung;Chuang, Cheng-long;Jiang, Joe-air;Chien, Cheng-chih
    Contributors: 淡江大學電機工程學系
    Keywords: Image segmentation;Image edge detection;Partitioning algorithms;Detectors;Morphology;Computer vision;Video coding;Morphological operations;Boundary conditions;Image coding
    Date: 2005-10
    Issue Date: 2011-10-15 01:01:50 (UTC+8)
    Publisher: IEEE
    Abstract: In this paper, a novel approach for edge-based image segmentation is proposed. Image segmentation and object extraction play an important role in supporting content-based image
    coding, indexing, and retrieval. However, it’s always a tough task to partition an object in a graph-based image. We proposed an image segmentation algorithm by integrating mathematical
    morphological edge detector with region growing technique. The images are first enhanced by morphological closing operations, and then detect the edge of the image by morphological dilation residue edge detector. Moreover, we deploy rowing seeds into the edge image that obtained by the edge detection procedure. By cross comparing the growing result and the detected edges, the partition lines of the image are generated. In this paper, we presented the theoretical backgrounds and procedure illustrations of
    the proposed algorithm. Furthermore, the proposed algorithm is implemented in C++ language and evaluate on several images with promising results.
    Relation: Systems, Man and Cybernetics, 2005 IEEE International Conference on 3, pp.2962-2967
    DOI: 10.1109/ICSMC.2005.1571600
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

    Files in This Item:

    File Description SizeFormat
    0780392981_p2962-2967.pdf666KbAdobe PDF553View/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