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dc.contributor.authorAlamri, Faisalen_US
dc.contributor.authorŽunić, Jovišaen_US
dc.date.accessioned2020-06-30T10:59:20Z-
dc.date.available2020-06-30T10:59:20Z-
dc.date.issued2018-01-01-
dc.identifier.isbn978-3-319-75192-4-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/3354-
dc.description.abstractIn this paper, we justify the hypothesis that the methods based on the tools designed to cope with digital images can outperform the standard techniques, usually coming from differential calculus and differential geometry. Herein, we have employed the shape elongation measure, a well known shape based image analysis tool, to offer a solution to the edge detection problem. The shape elongation measure, as used in this paper, is a numerical characteristic of discrete shape, computable for all discrete point sets, including digital images. Such a measure does not involve any of the infinitesimal processes for its computation. The method proposed can be applied to any digital image directly, without the need of any pre-processing.en_US
dc.publisherSpringer Linken_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.titleEdge detection based on digital shape elongation measureen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1007/978-3-319-75193-1_3-
dc.identifier.scopus2-s2.0-85042214923-
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Arts-
dc.relation.firstpage19-
dc.relation.lastpage27-
dc.relation.volume10657-
dc.description.rankM33-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Paper-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0002-1271-4153-
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