Adaptive weighted median filter using counterpropagation networks

被引：0

作者：

Maeda, Takahiro ^{[1
]}

Muneyasu, Mitsuji ^{[1
]}

Hinamoto, Takao ^{[1
]}

机构：

[1] Hiroshima Univ, Higashi-Hiroshima, Japan

来源：

Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi) | 1999年 / 82卷 / 06期

关键词：

Intelligent control - Learning algorithms - Learning systems - Neural networks - Spurious signal noise;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper discusses the realization of an adaptive weighted median filter which can eliminate impulsive noise while preserving the original signal. We propose a method in which the weights are determined by a weight controller composed of a counterpropagation network, and the learning algorithm is investigated. The weight controller executes a kind of pattern matching, in which the inputs are classified according to their characteristics and the corresponding weight masks are assigned. By this technique, the preservation of the original signal is improved. Since a neural network is employed, the class of the input signal and the corresponding mask can be determined by learning, which lead to a satisfactory result. The effectiveness of the proposed method is demonstrated with an actual image processing example.

引用

页码：46 / 53