본문 바로가기
  • Home

Color Image Filter using an Enhanced Fuzzy Method

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2012, 17(11), pp.27-32
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kwang Baek Kim ORD ID 1 Lee, Byung-kwan 2

1신라대학교
2관동대학교

Accredited

ABSTRACT

In this paper, we propose a fuzzymethod that improves the existing problemof the fuzzy filtering algorithm. The proposed fuzzy filtering algorithmseparates R, G, and B channels fromthe color image.Mask information was extracted fromseparated channels and the brightness of themean value andmedian value for channels was applied in the function of the proposed fuzzymethod to calculate themembership and achieve application in the inference rule. Also, themembership degrees of R, G, and Bwere used to distinguish the possibility of noise. The proposed fuzzymethod selected three membership functions. If noise is distinguished, the noise is eliminated by selecting the median value or mean value as the relevant pixel value according to the degree of noise. By applying the proposedmethod in color images, it was verified that the proposedmethod is more effective in eliminating noise when compared with the conventional fuzzy filtering method.

Citation status

* References for papers published after 2023 are currently being built.