DocumentCode
1474284
Title
Recent advances in fuzzy techniques for image enhancement
Author
Russo, Fabrizio
Author_Institution
Dipt. di Elettronica, Trieste Univ., Italy
Volume
47
Issue
6
fYear
1998
fDate
12/1/1998 12:00:00 AM
Firstpage
1428
Lastpage
1434
Abstract
Enhancement of noisy image data is a very challenging issue in many research and application areas. In the last few years, nonlinear filters based on fuzzy models have been shown to be very effective in removing noise without destroying the useful information contained in the image data. The aim of this paper is to provide a comprehensive overview of most significant methods in the literature and to present some new advances in the field of evolutionary neural fuzzy filters
Keywords
fuzzy neural nets; image enhancement; nonlinear filters; fuzzy system; image enhancement; neural fuzzy filter; noisy image data; nonlinear filter; Filtering; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Image enhancement; Image processing; Input variables; Multimedia systems; Noise cancellation; Nonlinear filters;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/19.746707
Filename
746707
Link To Document