Implementation of fuzzy cluster filter for nonlinear signal and image processing

Implementation of fuzzy cluster filter for nonlinear signal and image processing

A nonlinear filter known as fuzzy cluster filter (FCF) is introduced. This filter can be used for different signal and image processing applications. The formulation of this filter is based on applying fuzzy clustering to a subset of the signal (or image) and finding the best candidate (i.e., the cl...

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Bibliographic Details
Published in:Proceedings of IEEE 5th International Fuzzy Systems Vol. 3; pp. 2117 - 2122 vol.3
Main Authors: Doroodchi, M., Reza, A.M.
Format: Conference Proceeding
Language:English
Published: IEEE 1996
Subjects:
Application software
Fuzzy sets
Image processing
Image segmentation
Nonlinear filters
Prototypes
Signal processing
Signal to noise ratio
Statistics
Synthetic aperture radar
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Summary:A nonlinear filter known as fuzzy cluster filter (FCF) is introduced. This filter can be used for different signal and image processing applications. The formulation of this filter is based on applying fuzzy clustering to a subset of the signal (or image) and finding the best candidate (i.e., the cluster prototype) for the output. The local statistics of the signal are used for learning the membership functions. Also, the performance of the filter is found for different signal to noise ratios (SNR) by using Monte Carlo simulations.
ISBN:9780780336452
0780336453
DOI:10.1109/FUZZY.1996.552789