Multigrid convergence of calculated features in image analysis

DC Field	Value	Language
dc.contributor.author	Klette, Reinhard	en
dc.contributor.author	Žunić, Joviša	en
dc.date.accessioned	2020-05-01T20:29:02Z	-
dc.date.available	2020-05-01T20:29:02Z	-
dc.date.issued	2000-01-01	en
dc.identifier.issn	0924-9907	en
dc.identifier.uri	http://researchrepository.mi.sanu.ac.rs/handle/123456789/1959	-
dc.description.abstract	This paper informs about number-theoretical and geometrical estimates of worst-case bounds for quantization errors in calculating features such as moments, moment based features, or perimeters in image analysis, and about probability-theoretical estimates of error bounds (e.g. standard deviations) for such digital approximations. New estimates (with proofs) and a review of previously known results are provided.	en
dc.publisher	Springer Link	-
dc.relation.ispartof	Journal of Mathematical Imaging and Vision	en
dc.title	Multigrid convergence of calculated features in image analysis	en
dc.type	Article	en
dc.identifier.doi	10.1023/A:1011289414377	en
dc.identifier.scopus	2-s2.0-0034506549	en
dc.relation.firstpage	173	en
dc.relation.lastpage	191	en
dc.relation.issue	3	en
dc.relation.volume	13	en
dc.description.rank	M22	-
item.fulltext	No Fulltext	-
item.openairetype	Article	-
item.grantfulltext	none	-
item.cerifentitytype	Publications	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
crisitem.author.orcid	0000-0002-1271-4153	-

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