English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 54043/88873 (61%)
造訪人次 : 10548175      線上人數 : 34
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/78780


    題名: A genetic programming based scheme for combining image operators
    作者: Chang, Feng-cheng;Huang, Hsiang-cheh
    關鍵詞: cellular programming;genetic programming;image processing
    日期: 2012-07
    上傳時間: 2012-10-22 15:35:15 (UTC+8)
    摘要: Sophisticated image processing is usually nonlinear and difficult to model. In addition to the conventional image processing tools, we need some alternatives to bridge the gap between low-level and semantic level computation. This paper presents an idea of image processing scheme. We transform an image into different representations; feed the representations to the proper cellular automaton (CA) components to produce the information images; use the information images as the inputs to the combination program; and finally get the processed result. To identify the needed transforms, the CA transition rules, and the combination expression, we adopt genetic programming (GP) and cellular programming (CP) to search for the configuration. The searched configuration separates the parallelizable and sequential parts of the program. We don't enforce the linearity of the program, and it is likely that the searched result matches to the nonlinear nature of human semantics.
    關聯: 2012 The Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp.215-218
    DOI: 10.1109/IIH-MSP.2012.58
    顯示於類別:[資訊創新與科技學系] 會議論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    A Genetic Programming Based Scheme for Combining Image Operators.pdf全文檔216KbAdobe PDF330檢視/開啟
    index.html0KbHTML459檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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