Title :
Adaptive fuzzy multilevel median filter
Author :
Yang, Xiahua ; Toh, Peng Seng
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fDate :
5/1/1995 12:00:00 AM
Abstract :
A modified multilevel median filter (MLMF) incorporating the fuzzy associative memory (FAM) system is proposed in this correspondence. The modified method-the adaptive fuzzy multilevel median filter (AFMMF)-overcomes some disadvantages common to most of the conventional MLMF. Experimental results demonstrated that the performance of the AFMMF is superior to that of conventional MLMF in dealing with “short-line-like” noise while preserving edges
Keywords :
adaptive filters; filtering theory; fuzzy set theory; image processing; median filters; adaptive fuzzy multilevel median filter; edge preservation; fuzzy associative memory system; image processing; performance; short-line-like noise; Adaptive filters; Associative memory; Filtering algorithms; Fuzzy control; Fuzzy logic; Fuzzy systems; Image restoration; Nonlinear filters; Performance analysis; Smoothing methods;
Journal_Title :
Image Processing, IEEE Transactions on
