Institute of Information Theory and Automation

You are here

Bibliography

Conference Paper (international conference)

Texture Spectral Similarity Criteria Comparison

Havlíček Michal, Haindl Michal

: WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023, p. 100-106

: International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2023, WSCG 2023, /31./, (Plzen, CZ, 20230515)

: GA19-12340S, GA ČR

: Texture Comparison, Texture Modeling, Texture Retrieval, Texture Classification, Texture Acquisition

: 10.24132/CSRN.3301.13

: http://library.utia.cas.cz/separaty/2023/RO/haindl-0573712.pdf

(eng): 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.

: BC

: 20205

2019-01-07 08:39