Nonlinear fuzzy filters: An overview
Nonlinear fuzzy filters: An overview
复制标题
非线性模糊滤波器：概述
DOI：
10.5281/zenodo.36427
复制
发表时间：
1996
期刊：
影响因子：
--
通讯作者：
F. Russo
中科院分区：
文献类型：
--
作者：
F. Russo
基于模糊逻辑的新兴技术已成功进入非线性滤波器领域。事实上，最近文献中提出了多种方法，这些方法能够对噪声图像数据进行保留细节的平滑，从而产生比经典算子更好的结果。本文的目的是精选该领域最重要的贡献，重点关注它们的异同。简要介绍了模糊集和系统的理论，以使这些结果也可供非模糊研究人员使用。
Emergent techniques based on Fuzzy Logic have successfully entered the area of nonlinear filters. Indeed, a variety of methods have been recently proposed in the literature which are able to perform detail-preserving smoothing of noisy image data yielding better results than classical operators. The aim of this paper is to present a selection of the most significant contributions in this field focussing on their similarities and differences. A brief introduction to the theory of fuzzy sets and systems is presented in order to make these results available to non-fuzzy researchers too.