• DocumentCode
    3732098
  • Title

    Proof of the Template of the Image Relief Effect

  • Author

    Li Shuo;Wei Xiaoting;Xu Wenxia;Li Guodong;Wang Xu

  • Author_Institution
    Appl. Math., Xinjiang Univ. Of Finance &
  • fYear
    2015
  • Firstpage
    567
  • Lastpage
    570
  • Abstract
    As a result of the relief image surface pattern shapes are often very complicated, no rules of geometry and detailed, with traditional computer graphics methods is difficult to achieve realistic embossed reproduction effect and the practical processing effect. At present, there are few new theoretical achievements in this field in China. This paper designed a simple method to get the 3D relief effect fast, color images based on cellular neural networks (CNN) embossment effect processing method, through simulation experiment, this method has proved its convenient operation and implementation, and its application in the hail cloud layer image pre-processing, achieved good results.
  • Keywords
    "Clouds","Image processing","Meteorology","Color","Cellular neural networks","Data models","Remote sensing"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICITBS.2015.145
  • Filename
    7384091