Flat Electroencephalography (fEEG) is a technique that mapped high dimensional signal into low dimensional space. An image of fEEG which is in grayscale is obtained via fuzzy approach by the process of digitization and quantization. In this paper, the enhancement of fEEG images of two epileptic patients at varied time are presented. The images are enhanced by using intuitionistic fuzzy set theory (IFS). Moreover, the quality test of the images is determined by mean structural similarity index measure (MSSIM) for particular values of parameter namely lambda, λ in the Sugeno type intuitionistic fuzzy generator. The relationship between the membership, non-membership, and hesitation degree for λ=2 and λ=5 (of patient A at t=1) are demonstrated graphically.

Topics
Data processing, Fuzzy set theory, Educational assessment, Electroencephalography
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