Adaptive edge detection algorithm for multi-focus application

Trong-An Bui, Pei-Jun Lee
{"title":"Adaptive edge detection algorithm for multi-focus application","authors":"Trong-An Bui, Pei-Jun Lee","doi":"10.1109/ISCE.2018.8408909","DOIUrl":null,"url":null,"abstract":"This paper proposes a method of solving the problem of multi-focus through edge detection based on adaptive thresholding. Under conditions such as different light or different regions, the methods of solving the problem of multi-focus based on conventional edge detection methods will not work well because they are based on a global value of thresholding. In this paper, we will focus on processing and be applying the adaptive threshold method in determining the regions in the multi-focus problem. We will combine the clustering method as k-mean in an image to combine with the area defined by edge detection through adaptive thresholding to define the best result. The Fusion algorithm is applied to handle focused regions defined by the above method. The results and deployment environment we apply to mobile devices.","PeriodicalId":114660,"journal":{"name":"2018 International Symposium on Consumer Technologies (ISCT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Symposium on Consumer Technologies (ISCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2018.8408909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper proposes a method of solving the problem of multi-focus through edge detection based on adaptive thresholding. Under conditions such as different light or different regions, the methods of solving the problem of multi-focus based on conventional edge detection methods will not work well because they are based on a global value of thresholding. In this paper, we will focus on processing and be applying the adaptive threshold method in determining the regions in the multi-focus problem. We will combine the clustering method as k-mean in an image to combine with the area defined by edge detection through adaptive thresholding to define the best result. The Fusion algorithm is applied to handle focused regions defined by the above method. The results and deployment environment we apply to mobile devices.
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
多焦点应用的自适应边缘检测算法
提出了一种基于自适应阈值的边缘检测方法来解决多焦点问题。在不同光线或不同区域等条件下,基于传统边缘检测方法的多聚焦问题的解决方法由于是基于阈值的全局值而不能很好地发挥作用。在本文中,我们将重点讨论处理和应用自适应阈值法来确定多焦点问题中的区域。我们将聚类方法结合为图像中的k-mean,通过自适应阈值分割与边缘检测定义的区域相结合,定义最佳结果。采用融合算法对上述方法定义的聚焦区域进行处理。我们应用于移动设备的结果和部署环境。
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
Using MATLAB as auxiliary tool in visual localization for mobile robots Real-time image magnifier with visible-spectrum gaze tracker Low-cost real-time non-intrusive appliance identification and controlling through machine learning algorithm Adaptive edge detection algorithm for multi-focus application The bootstrap Kernel-diffeomorphism filter for satellite image restoration
×
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