Texture Spectral Similarity Criteria Comparison

dc.contributor.authorHavlícek, Michal
dc.contributor.authorHaindl, Michal
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-17T14:12:01Z
dc.date.available2023-10-17T14:12:01Z
dc.date.issued2023
dc.description.abstract-translatedCriteria capable of texture spectral similarity evaluation are presented and compared. From the fifteen evaluated criteria, only four criteria guarantee zero or minimal spectral ranking errors. Such criteria can support texture modeling algorithms by comparing the modeled texture with corresponding synthetic simulations. Another possi ble application is the development of texture retrieval, classification, or texture acquisition system. These criteria thoroughly test monotonicity and mutual correlation on specifically designed extensive monotonously degrading experiments.en
dc.description.sponsorshipThe Czech Science Foundation project GAČR 19-12340S supported this research.en
dc.format7 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 100-106.en
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.13
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54415
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.rights.accessopenAccessen
dc.subjectsrovnání texturcs
dc.subjectmodelování texturcs
dc.subjectnačítání texturcs
dc.subjectklasifikace texturcs
dc.subjectzískávání texturcs
dc.subject.translatedtexture comparisonen
dc.subject.translatedtexture modelingen
dc.subject.translatedtexture retrievalen
dc.subject.translatedtexture classificationen
dc.titleTexture Spectral Similarity Criteria Comparisonen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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