Title :
On the optimal design of T-norm and T-conorm based fuzzy weighted order statistic filters with neural learning in the application of image processing
Author :
Yu, Pao-Ta ; Hsiao, Ying-Chuan
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
Abstract :
A new fuzzy filter, called fuzzy weighted order statistic filter, is proposed in this paper to extend the filtering capability of conventional weighted order statistic filter and stack filter
Keywords :
filtering theory; fuzzy neural nets; image restoration; learning (artificial intelligence); T-conorm based filters; T-norm based filters; filtering capability; fuzzy weighted order statistic filters; image processing; neural learning; stack filter; Application software; Boolean functions; Computer science; Electronic mail; Fuzzy logic; Image processing; Information filtering; Information filters; Logic design; Statistics;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.541642
