A new adaptive center weighted median filter using counter propagation networks

被引：15

作者：

Muneyasu, M ^{[1
]}

Nishi, N ^{[1
]}

Hinamoto, T ^{[1
]}

机构：

[1] Hiroshima Univ, Fac Engn, Higashihiroshima 7398527, Japan

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2000年 / 337卷 / 05期

关键词：

CWM filter; counter propagation network; impulsive noise; noise reduction;

D O I：

10.1016/S0016-0032(00)00022-3

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new type of adaptive center weighted median filters is developed for impulsive noise reduction of an image without the degradation of an original signal. The weight in the proposed filter is decided by the weight controller based on counter propagation networks. This controller classifies an input vector into some cluster according to its feature and gives the weight corresponding to the cluster. The parameters in the weight controller are adjustable by using the learning algorithm. The degradation of the original signal can be reduced by the proposed technique. An example is also given to illustrate the utility of the proposed technique. (C) 2000 The Franklin Institute. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：631 / 639

页数：9

共 7 条

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