bibtype J - Journal Article
ARLID 0434412
utime 20240103204947.3
mtime 20141124235959.9
title (primary) (eng) Unsupervised Image Segmentation
specification
page_count 1 s.
media_type P
serial
title IAPR Newsletter
volume_id 36
volume 4 (2014)
page_num 23-23
keyword unsupervised image segmentation
author (primary)
ARLID cav_un_auth*0101093
name1 Haindl
name2 Michal
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
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
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
institution UTIA-B
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/2014/RO/haindl-0434412.pdf
cas_special
project
project_id GA14-10911S
agency GA ČR
country CZ
ARLID cav_un_auth*0303439
abstract (eng) In order to promote evaluation of unsupervised colour image segmentation algorithms using publicly available data sets, standard performance assessment methodology and online web verification server and database (The Prague Texture Segmentation Data Generator and Benchmark), we have organized a competition for the best segmentation algorithms the Unsupervised Image Segmentation Contest in conjunction with the IAPR 22nd International Conference on Pattern Recognition - ICPR'14 in Stockholm.
reportyear 2015
RIV BD
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0239395
confidential S
arlyear 2014
mrcbU63 IAPR Newsletter Roč. 36 č. 4 2014 23 23