By Topic

Implementation of fuzzy cluster filter for nonlinear signal and image processing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
M. Doroodchi ; Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA ; A. M. Reza

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

Published in:

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on  (Volume:3 )

Date of Conference:

8-11 Sep 1996