An improvement of an adaptive weighted mean filter using fuzzy clustering

被引：0

作者：

Muneyasu, M ^{[1
]}

Imai, T ^{[1
]}

Oda, T ^{[1
]}

Hinamoto, T ^{[1
]}

机构：

[1] Kansai Univ, Fac Engn, Suita, Osaka 5648080, Japan

来源：

2004 47TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL I, CONFERENCE PROCEEDINGS | 2004年

关键词：

D O I：

暂无

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：

This paper proposes a novel edge-preserving adaptive weighted mean filter using fuzzy clustering. An input vector in the filter mask is classified according to predefined clusters and the membership values corresponding to all clusters are obtained. The filter output is given by the weighted sum of the membership values with the inner products of the input vector with weight vectors according to the clusters. The proposed filter can reduce mixed noises with preserving edges satisfactory, because a fuzzy clustering flexibly classifies ambiguous local image information and adaptively controles filter weights.

引用

页码：281 / 284

页数：4

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