Digital image processing
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neural network design
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
MATLAB Supplement to Fuzzy and Neural Approaches in Engineering,
MATLAB Supplement to Fuzzy and Neural Approaches in Engineering,
Modular Neuro-Fuzzy Networks Used in Explicit and Implicit Knowledge Integration
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
A robust neuro-fuzzy network approach to impulse noise filtering for color images
Applied Soft Computing
IEEE Transactions on Signal Processing
A new efficient approach for the removal of impulse noise from highly corrupted images
IEEE Transactions on Image Processing
A hybrid neuro-fuzzy filter for edge preserving restoration of images corrupted by impulse noise
IEEE Transactions on Image Processing
Adaptive median filters: new algorithms and results
IEEE Transactions on Image Processing
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A neuro-fuzzy network based impulse noise filtering for gray scale images is presented. The proposed filter is constructed by combining two neuro-fuzzy filters with a postprocessor, which generates the final output. 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). As demonstrated by the experimental results, the proposed filter not only has the ability of noise attenuation but also possesses desirable capability of detail preservation. It significantly outperforms other conventional filters.