DocumentCode
2138500
Title
A new class of fuzzy operators for image processing: design and implementation
Author
Russo, Fabrizio
Author_Institution
Dipartimento di Elettrotecnica Elettronica Inf., Trieste Univ., Italy
fYear
1993
fDate
1993
Firstpage
815
Abstract
The author presents a class of fuzzy operators which aim at extending the application range of fuzzy techniques to image processing applications not related to pattern recognition. Implementation aspects and specific design techniques based on genetic algorithms are discussed. An application concerning the design of a fuzzy operator for edge-preserving smoothing of an image is described in detail
Keywords
fuzzy logic; genetic algorithms; image processing; inference mechanisms; edge-preserving smoothing; fuzzy operators; fuzzy techniques; genetic algorithms; image processing; Algorithm design and analysis; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Image processing; Input variables; Pattern recognition; Pixel; Process design; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0614-7
Type
conf
DOI
10.1109/FUZZY.1993.327547
Filename
327547
Link To Document