• DocumentCode
    2061627
  • Title

    Definition and applications of a fuzzy image processing scheme

  • Author

    Chacon, Mario I. ; Aguilar, Luis ; Delgado, Abdi

  • Author_Institution
    Chihuahua Inst. of Technol., Mexico
  • fYear
    2002
  • fDate
    13-16 Oct. 2002
  • Firstpage
    102
  • Lastpage
    107
  • Abstract
    This paper describes a fuzzy logic approach for image processing. The approach was derived from works on fuzzy image processing. The contribution of this paper is to provide a guidance of the steps to perform fuzzy image processing. Image information and image concept models incorporate uncertainty. Fuzzy logic represents a good mathematical framework to deal with uncertainty of information. In this paper a general scheme for a fuzzy image processing methodology is documented. This methodology is generated to manipulate uncertainty in image concepts like; brightness, edges, and geometric features. The methodology is illustrated with three applications.
  • Keywords
    fuzzy logic; image processing; fuzzy binarization; fuzzy edge definition; fuzzy geometry measurement; fuzzy image processing scheme; fuzzy logic approach; image concept models; information uncertainty; Area measurement; Brightness; Fuzzy logic; Fuzzy sets; Humans; Image processing; Pixel; Robustness; Uncertainty; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop, 2002 and the 2nd Signal Processing Education Workshop. Proceedings of 2002 IEEE 10th
  • Print_ISBN
    0-7803-8116-5
  • Type

    conf

  • DOI
    10.1109/DSPWS.2002.1231085
  • Filename
    1231085