Image Enhancement Using Two Stage Hybrid Neuro- Fuzzy Filtering Technique
نویسندگان
چکیده
A new operator for restoring digital images corrupted by impulse noise is presented. The proposed operator is a hybrid filter obtained by appropriately combining a new decision based switching median filter Canny Edge Detector and a Adaptive Neuro-Fuzzy Inference System (ANFIS). The internal parameters of the neuro-fuzzy network are adaptively optimized by training. The most distinctive feature of the proposed operator offers excellent line, edge, and fine detail preservation performance while, at the same time, effectively removing noise from the input image. Extensive simulation experiments show that the proposed operator may be used for efficient restoration of digital images corrupted by impulse noise without distorting the useful information in the image. The proposed Hybrid filter, developed using MATLAB functions, is flexible, accurate than existing filtering algorithm and its scope for a better real-time applications. Keywords— Adaptive Neuro-fuzzy Inference System, Image denoising, Nonlinear filters.
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