Computer Science ›› 2013, Vol. 40 ›› Issue (7): 302-306.

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Filtering Method for Images Based on Adaptive Neuro-fuzzy Inference System

LUO Hai-chi,LI Yue-yang and SUN Jun   

  • Online:2018-11-16 Published:2018-11-16

Abstract: A neuro-fuzzy network approach to impulse noise filtering for gray scale images was presented.The network is constructed by combining four neuro-fuzzy filters with a postprocessor.Each neuro-fuzzy filter is a first order Sugeno type fuzzy inference system with 4-inputs and 1-output.The proposed impulse noise filter consists of two modes of operation,namely,training and testing (filtering). The experimental results demonstrate that the proposed filter not only has the ability of noise attenuation but also possesses desirable capability of details preservation.It significantly outperforms other conventional filters.

Key words: Image filtering,Neuro-fuzzy inference system,Impulse noise

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