bibtype C - Conference Paper (international conference)
ARLID 0573712
utime 20240402214154.6
mtime 20230719235959.9
DOI 10.24132/CSRN.3301.13
title (primary) (eng) Texture Spectral Similarity Criteria Comparison
specification
page_count 7 s.
media_type E
serial
ARLID cav_un_epca*0574058
ISBN 978-80-86943-32-9
ISSN 2464-4617
title WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023
page_num 100-106
publisher
place Plzeň
name University of West Bohemia
year 2023
keyword Texture Comparison
keyword Texture Modeling
keyword Texture Retrieval
keyword Texture Classification
keyword Texture Acquisition
author (primary)
ARLID cav_un_auth*0283206
name1 Havlíček
name2 Michal
institution UTIA-B
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101093
name1 Haindl
name2 Michal
institution UTIA-B
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2023/RO/haindl-0573712.pdf
cas_special
project
project_id GA19-12340S
agency GA ČR
country CZ
ARLID cav_un_auth*0376011
abstract (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.
action
ARLID cav_un_auth*0452329
name International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2023, WSCG 2023, /31./
dates 20230515
place Plzen
country CZ
mrcbC20-s 20230519
RIV BC
FORD0 20000
FORD1 20200
FORD2 20205
reportyear 2024
result_subspec SCOPUS
num_of_auth 2
presentation_type PR
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0344423
confidential S
mrcbC91 C
mrcbT16-s 0.143
mrcbT16-E Q4
arlyear 2023
mrcbU02 C
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0574058 WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023 978-80-86943-32-9 2464-4617 2464-4625 100 106 Plzeň University of West Bohemia 2023 Computer Science Research Notes CSRN 3301