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http://dx.doi.org/10.9708/jksci/2012.17.11.027

Color Image Filter using an Enhanced Fuzzy Method  

Kim, Kwang Baek (Dept. of Computer Science, Silla University)
Lee, Byung Kwan (Dept of Computer, Kwandong University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.11, 2012 , pp. 27-32 More about this Journal
Abstract
In this paper, we propose a fuzzy method that improves the existing problem of the fuzzy filtering algorithm. The proposed fuzzy filtering algorithm separates R, G, and B channels from the color image. Mask information was extracted from separated channels and the brightness of the mean value and median value for channels was applied in the function of the proposed fuzzy method to calculate the membership and achieve application in the inference rule. Also, the membership degrees of R, G, and B were used to distinguish the possibility of noise. The proposed fuzzy method 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 proposed method in color images, it was verified that the proposed method is more effective in eliminating noise when compared with the conventional fuzzy filtering method.
Keywords
Fuzzy filtering; Membership function; Mask information; Inference rule;
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Times Cited By KSCI : 1  (Citation Analysis)
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