bibtype K - Conference Paper (Czech conference)
ARLID 0411479
utime 20240103182330.6
mtime 20060210235959.9
ISBN 80-86732-59-2
title (primary) (eng) Texture similarity measure
part_num 1
part_title Mathematics and Computer Sciences.
publisher
place Praha
name MATFYZPRESS
pub_time 2005
specification
page_count 6 s.
serial
title WDS'05 Proceedings of Contributed Papers
page_num 47-52
editor
name1 Šafránková
name2 J.
keyword texture similarity
author (primary)
ARLID cav_un_auth*0213290
name1 Vácha
name2 Pavel
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 09K
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
project
project_id IAA2075302
agency GA AV ČR
ARLID cav_un_auth*0001801
project
project_id 1ET400750407
agency GA AV ČR
ARLID cav_un_auth*0001797
research CEZ:AV0Z10750506
abstract (eng) This paper surveys the current best texture representations and studies their application for a texture similarity measure development. A simple experiment that evaluates texture similarity is proposed and the performance of several most advanced texture features is verified on it. In order to eliminate the influence of spectral information monospectral textures are considered in this study only. The paper suggests the L1 norm with either Markovian or Gabor features as the best texture similarity measure.
action
ARLID cav_un_auth*0202122
name Annual Conference of Doctoral Students /14./
place Praha
country CZ
dates 07.06.2005-10.06.2005
RIV BD
reportyear 2006
department RO
permalink http://hdl.handle.net/11104/0131559
ID_orig UTIA-B 20050209
arlyear 2005
mrcbU10 2005
mrcbU10 Praha MATFYZPRESS
mrcbU12 80-86732-59-2
mrcbU63 WDS'05 Proceedings of Contributed Papers 47 52
mrcbU67 Šafránková J. 340