• DocumentCode
    1976994
  • Title

    A Graphic Picture Classification Method Based on Gradient Feature

  • Author

    Sengyan, Tsai ; Zhen, Liu ; Zhihong, Liu

  • Author_Institution
    Sch. of Packaging & Printing Eng., Tianjin Univ. of Sci. & Technol., Tianjin, China
  • Volume
    6
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    22
  • Lastpage
    25
  • Abstract
    Different methods are used to graphics and pictures in image reproduction, image processing, and image compression. Graphic picture classification becomes more and more important. Gradients reflect color varies of an image. The paper proposed a graphic picture classification method based on the gradient feature. The classification is executed in CIELAB color space, after the image is converted from the original color space by ICC profile. Tests show the method is effective and quick.
  • Keywords
    gradient methods; image classification; image colour analysis; gradient feature; graphic picture classification method; image compression; image processing; image reproduction; Computer science; Graphics; Histograms; Image coding; Image color analysis; Image edge detection; Image processing; Pixel; Statistics; Testing; CIELAB; Classification; Gradient; Graphic; Picture; scanning pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1122
  • Filename
    4723187
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1976994