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 |
|
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 |
|