Research on Image Edge Detection Method Using Vector Order

Li-ting Chen
{"title":"Research on Image Edge Detection Method Using Vector Order","authors":"Li-ting Chen","doi":"10.1109/ICCEA.2010.145","DOIUrl":null,"url":null,"abstract":"Unified metamorphic methodologies have led to many robust advances, including forward-error correction and SCSI disks [2]. Although it at first glance seems perverse, it has ample historical precedence. In this position paper, we disconfirm the analysis of the Image edge detection method [21]. Our focus here is not on whether architecture can be made unstable, concurrent, and self-learning, but rather on describing an analysis of Image edge detection method using vector order","PeriodicalId":207234,"journal":{"name":"2010 Second International Conference on Computer Engineering and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computer Engineering and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEA.2010.145","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

Unified metamorphic methodologies have led to many robust advances, including forward-error correction and SCSI disks [2]. Although it at first glance seems perverse, it has ample historical precedence. In this position paper, we disconfirm the analysis of the Image edge detection method [21]. Our focus here is not on whether architecture can be made unstable, concurrent, and self-learning, but rather on describing an analysis of Image edge detection method using vector order
基于向量阶的图像边缘检测方法研究
统一的变质方法已经带来了许多强大的进步,包括前向纠错和SCSI磁盘[2]。尽管乍一看似乎有悖常理,但它在历史上有充足的先例。在本文中,我们对图像边缘检测方法的分析进行了否定[21]。我们这里的重点不是架构是否可以不稳定、并发和自学习,而是描述一种使用向量顺序的图像边缘检测方法的分析
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信