Texture Spectral Similarity Criteria Comparison
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F23%3A00573712" target="_blank" >RIV/67985556:_____/23:00573712 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.24132/CSRN.3301.13" target="_blank" >http://dx.doi.org/10.24132/CSRN.3301.13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24132/CSRN.3301.13" target="_blank" >10.24132/CSRN.3301.13</a>
Alternative languages
Result language
angličtina
Original language name
Texture Spectral Similarity Criteria Comparison
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA19-12340S" target="_blank" >GA19-12340S: Surface material recognition under variable optical observation conditions</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
e-ISSN
2464-4625
Number of pages
7
Pages from-to
100-106
Publisher name
University of West Bohemia
Place of publication
Plzeň
Event location
Plzen
Event date
May 15, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—