Original title: Texture Spectral Similarity Criteria Comparison
Authors: Havlíček, Michal ; Haindl, Michal
Document type: Papers
Conference/Event: International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2023, WSCG 2023, /31./, Plzen (CZ), 20230515
Year: 2023
Language: eng
Abstract: 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.
Keywords: Texture Acquisition; Texture Classification; Texture Comparison; Texture Modeling; Texture Retrieval
Project no.: GA19-12340S (CEP)
Funding provider: GA ČR
Host item entry: WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023, ISBN 978-80-86943-32-9, ISSN 2464-4617

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2023/RO/haindl-0573712.pdf
Original record: https://hdl.handle.net/11104/0344423

Permalink: http://www.nusl.cz/ntk/nusl-532609


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers