Title :
A new class of fuzzy operators for image processing: design and implementation
Author_Institution :
Dipartimento di Elettrotecnica Elettronica Inf., Trieste Univ., Italy
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;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327547
