bibtype K - Conference Paper (Czech conference)
ARLID 0411250
utime 20240103182312.9
mtime 20060210235959.9
ISBN 80-86732-18-5
title (primary) (eng) Multispectral texture segmentation
part_num 1
part_title Mathematics and Computer Science.
publisher
place Praha
name MFF UK
pub_time 2003
specification
page_count 5 s.
serial
title WDS '03 Proceedings of Contributed Papers
page_num 221-225
editor
name1 Šafránková
name2 J.
keyword texture
keyword unsupervised segmentation
keyword Markov random fields
author (primary)
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.
author
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.
COSATI 09K
cas_special
project
project_id IST-2001-34744
agency Commission EC
country XE
ARLID cav_un_auth*0200688
project
project_id IAA2075302
agency GA AV ČR
ARLID cav_un_auth*0001801
research CEZ:AV0Z1075907
abstract (eng) An efficient and robust type of unsupervised multispectral texture segmentation method is presented. The algorithm starts with spectral factorization of an input multispectral texture image using the Karhunen-Loeve expansion. Monospectral factors of single texture patches are assumed to be modelled using a Gaussian Markov random field model. The texture segmentation is done by K-means algorithm in the Markov model parameter space evaluated for each pixel centered image window.
action
ARLID cav_un_auth*0213138
name Week of Doctoral Students 2003. WDS'03
place Praha
country CZ
dates 10.06.2003-13.06.2003
RIV BD
department RO
permalink http://hdl.handle.net/11104/0131335
ID_orig UTIA-B 20030237
arlyear 2003
mrcbU10 2003
mrcbU10 Praha MFF UK
mrcbU12 80-86732-18-5
mrcbU63 WDS '03 Proceedings of Contributed Papers 221 225
mrcbU67 Šafránková J. 340