Region-Based Discrete Geometry

dc.creatorSmyth,M.
dc.date2000
dc.date.accessioned2024-02-06T12:50:33Z
dc.date.available2024-02-06T12:50:33Z
dc.descriptionThis paper is an essay in axiomatic foundations for discrete geometry intended, in principle, to be suitable for digital image processing and (more speculatively) for spatial reasoning and description as in AI and GIS. Only the geometry of convexity and linearity is treated here. A digital image is considered as a finite collection of regions, regions are primitive entities (they are not sets of points). The main result (Theorem 20) shows that finite spaces are sufficient. The theory draws on both region-based topology (also known as mereotopology) and abstract convexity theory.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-006-04-0447
dc.identifierhttps://lib.jucs.org/article/27672/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/7744
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 6(4): 447-459
dc.subjectdiscrete geometry
dc.subjectregions
dc.subjectmereotopology
dc.subjectconvexity
dc.titleRegion-Based Discrete Geometry
dc.typeResearch Article
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