• DocumentCode
    3442988
  • Title

    A Filtering Algorithm Based on Rough Sets

  • Author

    Renli, Wang ; Bo, Chen ; Yang, Yang ; Maolin, Wang

  • Author_Institution
    Hehai Univ., Nanjing
  • fYear
    2007
  • fDate
    23-25 May 2007
  • Firstpage
    750
  • Lastpage
    752
  • Abstract
    Rough sets theory is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft computation method. Being the same as fuzzy method, genetic algorithm, neural networks, it is an intellective information processing method. Rough sets theory applies to gray image, and algorithm of image median filter based on rough sets theory is proposed in this paper. Comparing experiments are done using standard median filtering and the filtering algorithm presented in this paper. Experimental results show that this algorithm filtering outperforms the standard median filtering.
  • Keywords
    filtering theory; image processing; median filters; rough set theory; filtering algorithm; fuzzy method; genetic algorithm; gray image; image median filter; intellective information processing method; neural networks; rough sets theory; soft computation method; Filtering algorithms; Rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0737-8
  • Electronic_ISBN
    978-1-4244-0737-8
  • Type

    conf

  • DOI
    10.1109/ICIEA.2007.4318507
  • Filename
    4318507