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dc.contributor.authorTeodorescu, Horia-Nicolai
dc.contributor.authorDascalescu, Lucien
dc.contributor.editorPinker,, Jiří
dc.date.accessioned2019-10-09T09:01:24Z
dc.date.available2019-10-09T09:01:24Z
dc.date.issued2016
dc.identifier.citation2016 International Conference on Applied Electronics: Pilsen, 6th – 7th September 2016, Czech Republic, p.269-272.en
dc.identifier.isbn978–80–261–0601–2 (Print)
dc.identifier.isbn978–80–261–0602–9 (Online)
dc.identifier.issn1803–7232 (Print)
dc.identifier.issn1805–9597 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/35296
dc.format4 s.cs
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.subjectanizotropní magnetorezistencecs
dc.subjectdetekce okraje obrazucs
dc.subjectkorelacecs
dc.subjectdatabázecs
dc.subjectlátkycs
dc.subjectoptická vláknacs
dc.titleStatistical characterization of images — Anisotropyen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe purposes of the paper are to contribute to the understanding of the notion of anisotropy of images and to expose details on a method for deriving global and local statistical features on materials, based on anisotropy. We introduce a definition of anisotropy related to the edges and improve measures of anisotropy. The images dealt with correspond mainly to non-woven fabrics based on polymeric fibers. A discussion of the applicative potential is included.en
dc.subject.translatedanisotropic magnetoresistanceen
dc.subject.translatedimage edge detectionen
dc.subject.translatedcorrelationen
dc.subject.translateddatabasesen
dc.subject.translatedfabricsen
dc.subject.translatedoptical fibersen
dc.type.statusPeer-revieweden
Appears in Collections:Applied Electronics 2016
Applied Electronics 2016

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