• DocumentCode
    2619992
  • Title

    Generalized Structuring Element and Expended Morphological Filtering

  • Author

    Lan, Zhangli ; Sheng, Minglan

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Chongqing Jiaotong Univ., Chongqing, China
  • Volume
    7
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    57
  • Lastpage
    61
  • Abstract
    Structuring element and morphological filtering are important methods to process and analyze images. The conception and character of generalized structuring element (GS) and expended morphological filtering (EMF) are presented. The advantage of GS and EMF is given out comparing to the traditional structuring element and morphological filtering. Two typical experiments using the theory of GS and EMF show that the novel method can extract information of important components from complex image efficiently.
  • Keywords
    image processing; complex image components; expended morphological filtering; generalized structuring element; image process; Brightness; Color; Colored noise; Image analysis; Image processing; Information analysis; Information filtering; Information filters; Morphology; Shape; Expended Morphological Filtering; Generalized Structuring Element; Image Process; Morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.295
  • Filename
    5170280