细胞神经网络的阶统计滤波

Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) Pub Date : 1994-12-18 DOI:10.1109/CNNA.1994.381635

Bertram E. Shi

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引用次数: 27

摘要

本文描述了一类非线性CNN模板，它可以基于阶统计量实现几种不同类型的滤波器(L. Pitas和A.N. Venetsanopoulos, 1990)。特别是，中值，加权中值，秩顺序过滤器(如max和min过滤器)和m过滤器可以通过简单地更改模板参数来实现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Order statistic filtering with cellular neural networks

The paper describes a class of nonlinear CNN template which can implement several different types of filters based upon order statistics (L. Pitas and A.N. Venetsanopoulos, 1990). In particular, median, weighted median, rank order filters (such as max and min filters) and M-filters can be implemented, simply by changing the template parameters.<>

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Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)

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