淡江大學機構典藏:Item 987654321/37592
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62797/95867 (66%)
造访人次 : 3743990      在线人数 : 551
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/37592


    题名: A mathematical morphological method to thin edge detection in dark region
    作者: Hsiao, Ying-tung;Chuang, Cheng-long.;Yen, Shwu-huey;林慧珍;Lin, Hwei-jen
    贡献者: 淡江大學資訊工程學系
    日期: 2004-12-18
    上传时间: 2010-04-15 10:19:06 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers (IEEE)
    摘要: The performance of image segmentation depends on the output quality of the edge detection process. Typical edge detecting method is based on detecting pixels in an image with high gradient values, and then applies a global threshold value to extract the edge points of the image. By these methods, some detected edge points may not belong to the edge and some thin edge points in dark regions of the image are being eliminated. These eliminated edges may be with important features of the image. This paper proposes a new mathematical morphological edge-detecting algorithm based on the morphological residue transformation derived from dilation operation to detect and preserve the thin edges. Moreover, this work adopts five bipolar oriented edge masks to prune the miss detected edge points. The experimental results show that the proposed algorithm is successfully to preserve the thin edges in the dark regions.
    關聯: Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on, pp.310-313
    DOI: 10.1109/ISSPIT.2004.1433746
    显示于类别:[資訊工程學系暨研究所] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    0780386892_p310-313.pdf737KbAdobe PDF701检视/开启
    index.html0KbHTML356检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

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