Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26697
Title: A new gaussian noise filter based on interval type-2 fuzzy logic systems
Authors: Wang, ST
Chung, FL 
Li, YY
Hu, DW
Wu, XS
Keywords: Filter
Fuzzy logic systems
Gaussian noise
Image-processing
Neural networks
Type-2 fuzzy sets
Issue Date: 2005
Publisher: Springer
Source: Soft computing, 2005, v. 9, no. 5, p. 398-406 How to cite?
Journal: Soft computing 
Abstract: In this paper, a new selective feedback fuzzy neural network (SFNN) based on interval type-2 fuzzy logic systems is introduced by partitioning input and output spaces and based upon which a new FLS filter is further studied. The experimental results demonstrate that this new FLS filter outperforms other filters (e.g. the mean filter and the Wiener filter) in suppressing Gaussian noise and maintaining the original structure of an image.
URI: http://hdl.handle.net/10397/26697
ISSN: 1432-7643
DOI: 10.1007/s00500-004-0362-y
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