Isocontouring with sharp corner features

S. Gong, Timothy S Newman
{"title":"Isocontouring with sharp corner features","authors":"S. Gong, Timothy S Newman","doi":"10.22630/mgv.2018.27.1.2","DOIUrl":null,"url":null,"abstract":"A method that achieves closed boundary finding in images (including slice images) with sub-pixel precision while enabling expression of sharp corners in that boundary is described. The method is a new extension to the well-known Marching Squares (MS) 2D isocontouring method that recovers sharp corner features that MS usually recovers as chamfered. The method has two major components: (1) detection of areas in the input image likely to contain sharp corner features, and (2) examination of image locations directly adjacent to the area with likely corners. Results of applying the new method, as well as its performance analysis, are also shown.","PeriodicalId":39750,"journal":{"name":"Machine Graphics and Vision","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Machine Graphics and Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22630/mgv.2018.27.1.2","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

A method that achieves closed boundary finding in images (including slice images) with sub-pixel precision while enabling expression of sharp corners in that boundary is described. The method is a new extension to the well-known Marching Squares (MS) 2D isocontouring method that recovers sharp corner features that MS usually recovers as chamfered. The method has two major components: (1) detection of areas in the input image likely to contain sharp corner features, and (2) examination of image locations directly adjacent to the area with likely corners. Results of applying the new method, as well as its performance analysis, are also shown.
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
等高轮廓与尖锐的角落特征
描述了一种以亚像素精度在图像(包括切片图像)中实现封闭边界查找的方法,同时允许在该边界中表达尖锐角。该方法是对著名的行军广场(Marching Squares, MS)二维等高轮廓法的新扩展,该方法可以恢复MS通常以倒角方式恢复的锐角特征。该方法有两个主要组成部分:(1)检测输入图像中可能包含尖锐角落特征的区域,以及(2)检查与可能角落区域直接相邻的图像位置。最后给出了新方法的应用结果,并对其性能进行了分析。
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 去求助
来源期刊
Machine Graphics and Vision
Machine Graphics and Vision Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
0.40
自引率
0.00%
发文量
1
期刊介绍: Machine GRAPHICS & VISION (MGV) is a refereed international journal, published quarterly, providing a scientific exchange forum and an authoritative source of information in the field of, in general, pictorial information exchange between computers and their environment, including applications of visual and graphical computer systems. The journal concentrates on theoretical and computational models underlying computer generated, analysed, or otherwise processed imagery, in particular: - image processing - scene analysis, modeling, and understanding - machine vision - pattern matching and pattern recognition - image synthesis, including three-dimensional imaging and solid modeling
期刊最新文献
Use of virtual reality to facilitate engineer training in the aerospace industry An efficient pedestrian attributes recognition system under challenging conditions Performance evaluation of Machine Learning models to predict heart attack Lung and colon cancer detection from CT images using Deep Learning Riesz-Laplace Wavelet Transform and PCNN Based Image Fusion
×
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