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dc.contributor.authorTereshchenko, Vasyl
dc.contributor.authorTereshchenko, Yaroslav
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-05-13T08:51:31Z-
dc.date.available2019-05-13T08:51:31Z-
dc.date.issued2018
dc.identifier.citationWSCG '2018: short communications proceedings: The 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic May 28 - June 1 2018, p. 1-6.en
dc.identifier.isbn978-80-86943-41-1
dc.identifier.issn2464-4617
dc.identifier.uriwscg.zcu.cz/WSCG2018/!!_CSRN-2802.pdf
dc.identifier.urihttp://hdl.handle.net/11025/34645
dc.description.abstractWe consider the problem of repetitive elements recognition with heterogeneous image texture. The complexity of solving problems from this class is connected to obtaining precise solution that is sensitive to image with irregular texture. The accuracy depends on correctness of original element selection from which the searching process will start. To solve the problem we propose new synthetic approach that combines statistical methods and machine learning method that allows obtaining resistant and accurate solution. The results of this algorithm are used for detection of reptile skin structure.en
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2018: short communications proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectrozpoznání vzorucs
dc.subjectopakující se prvkycs
dc.subjectheterogenní struktura obrazucs
dc.subjectpočítačové viděnícs
dc.subjectstrojové učenícs
dc.titleMethod of detection similar elements in textures with irregular structureen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedpattern recognitionen
dc.subject.translatedrepetitive elementsen
dc.subject.translatedheterogeneous image structureen
dc.subject.translatedcomputer visionen
dc.subject.translatedmachine learningen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2018.2802.1
dc.type.statusPeer-revieweden
Appears in Collections:WSCG '2018: Short Papers Proceedings

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