An Image Algebra for Pictorial Data Manipulation

Jungert E., Chang S.K.
{"title":"An Image Algebra for Pictorial Data Manipulation","authors":"Jungert E.,&nbsp;Chang S.K.","doi":"10.1006/ciun.1993.1035","DOIUrl":null,"url":null,"abstract":"<div><p>Manipulation and transformation of symbolic images requires, in order to become efficient, various high-level data structures and procedures. This is especially true for applications of heuristic type. This paper introduces an image algebra which is based on symbolic projections and includes three fundamental aspects, i.e., a set of powerful relational operators, a generalized representation of \"empty space\" objects, and multilevel data representation for hierarchical data. Application to spatial reasoning is discussed.</p></div>","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"58 2","pages":"Pages 147-160"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1993.1035","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CVGIP: Image Understanding","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1049966083710351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24

Abstract

Manipulation and transformation of symbolic images requires, in order to become efficient, various high-level data structures and procedures. This is especially true for applications of heuristic type. This paper introduces an image algebra which is based on symbolic projections and includes three fundamental aspects, i.e., a set of powerful relational operators, a generalized representation of "empty space" objects, and multilevel data representation for hierarchical data. Application to spatial reasoning is discussed.

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
用于图像数据处理的图像代数
符号图像的操作和转换需要各种高级数据结构和过程才能变得高效。对于启发式的应用程序尤其如此。本文介绍了一种基于符号投影的图像代数,它包括三个基本方面:一组强大的关系算子、“空白空间”对象的广义表示和分层数据的多级数据表示。讨论了在空间推理中的应用。
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
Phase-Based Binocular Vergence Control and Depth Reconstruction Using Active Vision 3D Structure Reconstruction from Point Correspondences between two Perspective Projections Default Shape Theory: With Application to the Computation of the Direction of the Light Source Computational Cross Ratio for Computer Vision Refining 3D reconstruction: a theoretical and experimental study of the effect of cross-correlations
×
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