数字图像中直线的不确定度

Caglioti V.
{"title":"数字图像中直线的不确定度","authors":"Caglioti V.","doi":"10.1006/cgip.1993.1018","DOIUrl":null,"url":null,"abstract":"<div><p>A model for the uncertainty of straight lines extracted from digital images is proposed, which accounts both for the image discretization and for the scattering of the line points from the true line. First, some results about uncertainty are derived for the <em>discrete</em> model, in which the point scattering is neglected. Then, the proposed model is compared with the <em>continuous</em> model, in which the image discretization is neglected: experiments show that the continuous model underestimates uncertainty.</p></div>","PeriodicalId":100349,"journal":{"name":"CVGIP: Graphical Models and Image Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1993-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/cgip.1993.1018","citationCount":"6","resultStr":"{\"title\":\"On the Uncertainty of Straight Lines in Digital Images\",\"authors\":\"Caglioti V.\",\"doi\":\"10.1006/cgip.1993.1018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A model for the uncertainty of straight lines extracted from digital images is proposed, which accounts both for the image discretization and for the scattering of the line points from the true line. First, some results about uncertainty are derived for the <em>discrete</em> model, in which the point scattering is neglected. Then, the proposed model is compared with the <em>continuous</em> model, in which the image discretization is neglected: experiments show that the continuous model underestimates uncertainty.</p></div>\",\"PeriodicalId\":100349,\"journal\":{\"name\":\"CVGIP: Graphical Models and Image Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1006/cgip.1993.1018\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CVGIP: Graphical Models and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1049965283710187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CVGIP: Graphical Models and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1049965283710187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

提出了一种考虑图像离散和直线点与真实直线的散射的数字图像直线提取不确定性模型。首先,对忽略点散射的离散模型给出了不确定性的计算结果。然后,将该模型与忽略图像离散化的连续模型进行比较:实验表明,连续模型低估了不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Uncertainty of Straight Lines in Digital Images

A model for the uncertainty of straight lines extracted from digital images is proposed, which accounts both for the image discretization and for the scattering of the line points from the true line. First, some results about uncertainty are derived for the discrete model, in which the point scattering is neglected. Then, the proposed model is compared with the continuous model, in which the image discretization is neglected: experiments show that the continuous model underestimates uncertainty.

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
×
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:481959085
Book学术官方微信