Texture Spectral Similarity Criteria Comparison

0573712 - ÚTIA 2024 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Havlíček, Michal - Haindl, Michal
Texture Spectral Similarity Criteria Comparison.
WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023. Plzeň: University of West Bohemia, 2023, s. 100-106. Computer Science Research Notes, CSRN 3301. ISBN 978-80-86943-32-9. ISSN 2464-4617. E-ISSN 2464-4625.
[International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2023, WSCG 2023, /31./. Plzen (CZ), 15.05.2023-19.05.2023]
Grant CEP: GA ČR(CZ) GA19-12340S
Institucionální podpora: RVO:67985556
Klíčová slova: Texture Comparison * Texture Modeling * Texture Retrieval * Texture Classification * Texture Acquisition
Obor OECD: Automation and control systems
Způsob publikování: Omezený přístup
http://library.utia.cas.cz/separaty/2023/RO/haindl-0573712.pdf

Criteria 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 possible 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.
Trvalý link: https://hdl.handle.net/11104/0344423