• DocumentCode
    3176530
  • Title

    Digital image processing methods based on Visual C#.NET

  • Author

    Yan Wang ; Yinjie Cao

  • Author_Institution
    Coll. of Phys. Sci. & Inf. Technol., LiaoCheng Univ., Liaocheng, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    1073
  • Lastpage
    1076
  • Abstract
    In the paper we introduce three methods for image processing, they are pixel extraction method, memory method and pointer method. With the same condition of data structure and algorithm, the three methods are used in edge detection for the digital images. In order to compare the actual operation efficiency of these three kinds of methods, we use C# to write a Windows Form Application program in the environment of Visual Studio 2008. The experimental results show that: using pointer method to process digital image has the best execution efficiency in the same conditions.
  • Keywords
    C++ language; data structures; edge detection; feature extraction; visual languages; Visual C#.NET; Visual Studio 2008; Windows form application program; data structure; digital image processing method; edge detection; memory method; pixel extraction method; pointer method; Arrays; Digital images; Image color analysis; Image edge detection; Visualization; Edge Detection; Image Processing; Pixel; Pointer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010731
  • Filename
    6010731