{"title":"基于二值掩模的轮廓线厚度归一化方法","authors":"A. Shauchuk, V. Tsviatkou","doi":"10.1109/AIC-MITCSA.2016.7759921","DOIUrl":null,"url":null,"abstract":"In this paper propose a method of normalization in thickness of the contour lines based on the analysis by mask of the local orientations of fragments. Comparison of the proposed method with known methods of thinning is held. It is shown that the proposed method is superior to the known methods of thinning on speed and quality.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"48 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Method of normalization of the contour line in thickness based on binary masks\",\"authors\":\"A. Shauchuk, V. Tsviatkou\",\"doi\":\"10.1109/AIC-MITCSA.2016.7759921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper propose a method of normalization in thickness of the contour lines based on the analysis by mask of the local orientations of fragments. Comparison of the proposed method with known methods of thinning is held. It is shown that the proposed method is superior to the known methods of thinning on speed and quality.\",\"PeriodicalId\":315179,\"journal\":{\"name\":\"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)\",\"volume\":\"48 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIC-MITCSA.2016.7759921\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIC-MITCSA.2016.7759921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文提出了一种基于掩模分析碎片局部方向的等高线厚度归一化方法。将提出的方法与已知的减薄方法进行了比较。结果表明,该方法在速度和质量上都优于已知的稀释方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Method of normalization of the contour line in thickness based on binary masks
In this paper propose a method of normalization in thickness of the contour lines based on the analysis by mask of the local orientations of fragments. Comparison of the proposed method with known methods of thinning is held. It is shown that the proposed method is superior to the known methods of thinning on speed and quality.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Routing algorithm optimization for software defined network WAN Modeling, design and analysis of an induction heating coil for brazing process using FEM Feature extraction of brain event-related potentials using cubic spline technique Ontology based reasoning for solving passenger train optimization problem Checking the robustness of a PWM sliding mode controlled DC/DC buck-boost converter using its Matlab/Simulink model
×
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