Fuzzy selection filters for image restoration with neural learning

被引：9

作者：

Chen, RC ^{[1
]}

Yu, PT ^{[1
]}

机构：

[1] Chaiyang Univ Technol, Dept Informat Management, Wufeng, Taiwan

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1999年 / 47卷 / 05期

关键词：

fuzzy rank; fuzzy selection; image restoration; neural learning; nonlinear filters;

D O I：

10.1109/78.757241

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel class of nonlinear filters, called rank conditioned fuzzy selection (RCFS) filters, is proposed to improve the filtering capability of rank conditioned rank selection filters, In contrast to the selection filters, the output of RCFS filters is obtained from the center gravity of a selected fuzzy set of the observation samples.

引用

页码：1446 / 1450

页数：5