A hybrid technique of Mamdani and Sugeno based fuzzy interference system approach

Abstract

Neuro-Fuzzy network based impulse noise filtering for gray scale images is presented. The proposed method is constructed by hybrid technique of Mamdani and Sugeno based fuzzy interference system approach. As demonstrated by experimental results, Peak signal-to-noise ratio(PSNR) and Root Mean Square Error(RMSE) possess better performance. The proposed filter has some advantages over its competitors. The hybrid rule is applied to reduce the error of the optimization. In hybrid based fuzzy interference system approach, the system develops a fuzzy logic based scheme to filter a noisy signal. This can be applied in various source to reduce noise. A one input and output Mamdani fuzzy interference system is designed for the filter where the input is a noisy signal and output is a filtered output. Fuzzy rules have been used to obtain the filtered output.