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dc.contributor.authorKlette, Reinharden
dc.contributor.authorŽunić, Jovišaen
dc.date.accessioned2020-05-01T20:29:02Z-
dc.date.available2020-05-01T20:29:02Z-
dc.date.issued2000-01-01en
dc.identifier.issn0924-9907en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/1959-
dc.description.abstractThis 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.publisherSpringer Link-
dc.relation.ispartofJournal of Mathematical Imaging and Visionen
dc.titleMultigrid convergence of calculated features in image analysisen
dc.typeArticleen
dc.identifier.doi10.1023/A:1011289414377en
dc.identifier.scopus2-s2.0-0034506549en
dc.relation.firstpage173en
dc.relation.lastpage191en
dc.relation.issue3en
dc.relation.volume13en
dc.description.rankM22-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.grantfulltextnone-
crisitem.author.orcid0000-0002-1271-4153-
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