Maintaining Images by Cellular Neural Networks with Switching Two Templates

K. Kitamura, Y. Uwate, Y. Nishio
{"title":"Maintaining Images by Cellular Neural Networks with Switching Two Templates","authors":"K. Kitamura, Y. Uwate, Y. Nishio","doi":"10.1109/ISOCC50952.2020.9332939","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":270577,"journal":{"name":"2020 International SoC Design Conference (ISOCC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC50952.2020.9332939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
切换两个模板的细胞神经网络图像维护
细胞神经网络(CNN)是Chua和Yang在1998年开发的。CNN的性能取决于被称为模板的参数。通过改变模板,将CNN应用到各种图像处理中。CNN处理后的输出图像为二值图像。因此,在此过程中删除了不需要的对象。在本研究中,我们提出了一种切换两个模板的方法,在某一状态下停止图像处理,在灰度状态下输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Quadcopters Flight Simulation Considering the Influence of Wind Design of a CMOS Current-mode Squaring Circuit for Training Analog Neural Networks Instant and Accurate Instance Segmentation Equipped with Path Aggregation and Attention Gate 13.56 MHz High-Efficiency Power Transmitter and Receiver for Wirelessly Powered Biomedical Implants Investigation on Synaptic Characteristics of Interfacial Phase Change Memory for Artificial Synapse Application
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1