Symmetry detection using global-locally coupled maps

dc.contributor.authorDe Oliveira R.
dc.contributor.authorMonteiro L.H.A.
dc.date.accessioned2024-03-13T01:46:33Z
dc.date.available2024-03-13T01:46:33Z
dc.date.issued2002
dc.description.abstractSymmetry detection through a net of coupled maps is proposed. Logistic maps are associated with each element of a pixel image where the symmetry is intended to be verified. The maps are locally and globally coupled and the reflection-symmetry structure can be embedded in local couplings. Computer simulations are performed by using random gray level images with different image sizes, asymmetry levels and noise intensity. The symmetry detection is also done under dynamic scene changing. Finally the extensions and the adherence of the present model to biological systems are discussed. © Springer-Verlag Berlin Heidelberg 2002.
dc.description.firstpage75
dc.description.lastpage80
dc.description.volume2415 LNCS
dc.identifier.doi10.1007/3-540-46084-5_13
dc.identifier.issn1611-3349
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/38014
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsAcesso Restrito
dc.titleSymmetry detection using global-locally coupled maps
dc.typeArtigo de evento
local.scopus.citations3
local.scopus.eid2-s2.0-62749109804
local.scopus.subjectDynamic scenes
local.scopus.subjectGray level image
local.scopus.subjectLocal coupling
local.scopus.subjectLogistic maps
local.scopus.subjectNoise intensities
local.scopus.subjectPixel images
local.scopus.subjectReflection symmetry
local.scopus.subjectSymmetry detection
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=62749109804&origin=inward
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