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dc.contributor.authorBogdan, Victor
dc.contributor.authorBonchis, Cosmin
dc.contributor.authorOrhei, Ciprian
dc.contributor.editorSkala, Václav
dc.date.accessioned2020-07-27T12:04:47Z
dc.date.available2020-07-27T12:04:47Z
dc.date.issued2020
dc.identifier.citationWSCG 2020: full papers proceedings: 28th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 161-168.en
dc.identifier.isbn978-80-86943-35-0
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD-ROM)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2020/2020-CSRN-3001.pdf
dc.identifier.urihttp://hdl.handle.net/11025/38463
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2020: full papers proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectdilatační filtrycs
dc.subjectoperátor detekce hrancs
dc.subjectdetekce hranycs
dc.subjectCannyho algoritmuscs
dc.titleCustom Dilated Edge Detection Filtersen
dc.typeconferenceObjecten
dc.typekonferenční příspěvekcs
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedEdge detection is a basic and fundamental function in image processing. Inspired by the new dilated convolution techniques which have impressive results in machine learning, we discuss here the idea of dilating the standard filters which are used to compute the gradient of an image. We compare the result of the proposed dilated filters with original filters and extend or custom variants of them. We also present the impact of dilatation on a complex edge detection algorithm, like Canny.en
dc.subject.translateddilated filtersen
dc.subject.translatededge detection operatoren
dc.subject.translatededge detectionen
dc.subject.translatedCanny algorithmen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2020.3001.19
dc.type.statusPeer-revieweden
Appears in Collections:WSCG 2020: Full Papers Proceedings

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