Maintaining Images by Cellular Neural Networks with Switching Two Templates

被引：0

作者：

Kitamura, Kodai ^{[1
]}

Uwate, Yoko ^{[1
]}

Nishio, Yoshifumi ^{[1
]}

机构：

[1] Tokushima Univ, Dept Elect & Elect Engn, 2-1 Minami Josanjima, Tokushima 7708506, Japan

来源：

2020 17TH INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC 2020) | 2020年

关键词：

Cellular Neural Networks; Image Processing;

D O I：

10.1109/ISOCC50952.2020.9332939

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Cellular Neural Networks (CNN) was developed by Chua and Yang in 1998. The performance of the CNN depends on the parameters which are called the template. The CNN is applied to various image processing by changing the template. The output image processed by CNN is a binary image. Therefore, the unnecessary objects are removed in the process. In this research, we propose a method of switching two templates to stop the image processing in a certain state and output in the grayscale state.

引用

页码：183 / 184

页数：2

共 5 条

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[2] CELLULAR NEURAL NETWORKS - THEORY
CHUA, LO
YANG, L
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