bibtype C - Conference Paper (international conference)
ARLID 0106343
utime 20240103173137.0
mtime 20050324235959.9
title (primary) (eng) Model-based texture segmentation
specification
page_count 8 s.
serial
ISSN 0302-9743
title Image Analysis and Recognition. Proceedings
page_num 306-313
publisher
place Berlin
name Springer
year 2004
title (cze) Segmentace textur založená na modelu
keyword colour texture segmentation
keyword Markov random fields
author (primary)
ARLID cav_un_auth*0101093
name1 Haindl
name2 Michal
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101165
name1 Mikeš
name2 Stanislav
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 507752
country XE
agency EC
ARLID cav_un_auth*0200689
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:AV0Z1075907
abstract (eng) An efficient and robust type of unsupervised multispectral texture segmentation method is presented. Single decorrelated monospectral texture factors are assumed to be represented by a set of local Gaussian Markov random field (GMRF) models evaluated for each pixel centered image window and for each spectral band. The segmentation algorithm based on the underlying Gaussian mixture (GM) model operates in the decorrelated GMRF parametric space. The number of texture regions is adaptively changed.
abstract (cze) Práce prezentuje efektivní a robustní metodu neřízené segmentace multispektrálních textur. Dekorelované monospektrální texturní složky jsou reprezentovány lokálními gauss-markovskými modely
action
ARLID cav_un_auth*0129899
name International Conference ICIAR 2004
place Porto
dates 29.09.2004-01.10.2004
country PT
reportyear 2005
RIV BD
permalink http://hdl.handle.net/11104/0013525
ID_orig UTIA-B 20040155
arlyear 2004
mrcbU63 Image Analysis and Recognition. Proceedings 0302-9743 306 313 Berlin Springer 2004 3212
mrcbU67 Campilho A. 340
mrcbU67 Kamel M. 340