bibtype C - Conference Paper (international conference)
ARLID 0358443
utime 20240103195048.3
mtime 20110404235959.9
WOS 000293633300006
DOI 10.1117/12.872420
title (primary) (eng) Image fusion for art analysis
specification
page_count 9 s.
media_type www
serial
ARLID cav_un_epca*0358442
ISBN 978-0-8194-8406-2
ISSN 0277-786X
title Proceedings of SPIE
page_num 786908-1-786908-9
publisher
place Bellingham
name SPIE
year 2011
editor
name1 Stork D. G., Coddington J., Bentkowska-Kafel A.
keyword image fusion
keyword visualization
keyword art analysis
author (primary)
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0213982
name1 Beneš
name2 Miroslav
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0254045
name1 Blažek
name2 Jan
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2011/ZOI/zitova-image fusion for art analysis.pdf
cas_special
project
project_id GA102/08/1593
agency GA ČR
country CZ
ARLID cav_un_auth*0239572
project
project_id M100750901
agency GA AV ČR
country CZ
ARLID cav_un_auth*0261455
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
research CEZ:AV0Z10750506
abstract (eng) Our paper addresses problem of multimodal data acquisition and data visualization for art analysis. Various types of modalities of digital images are used for art analysis. The data we can obtain differ in two ways. The images can differ by their mutual geometry and radiometric quality. These are the differences we would like to remove. The group of differences we are interested in are details or characteristics of an artwork, which are apparent just in the certain modality. The two groups represent two categories of image processing methods we have to deal with. The first one is represented by image preprocessing methods such as data enhancement and restoration, the second class includes effective ways how to combine the acquired information into one image - image fusion. In our paper we present image enhancement for microscopic multimodal data and their segmentation and recent results in data fusion and visualization for art analysis from the second category of methods.
action
ARLID cav_un_auth*0271363
name IS&T/SPIE Electronic Imaging
place San Francisco Airport
dates 23.01.2011-27.01.2011
country US
reportyear 2012
RIV JD
permalink http://hdl.handle.net/11104/0196486
mrcbT16-q 90
mrcbT16-s 0.218
mrcbT16-y 13.02
mrcbT16-x 0.3
arlyear 2011
mrcbU34 000293633300006 WOS
mrcbU63 cav_un_epca*0358442 Proceedings of SPIE 978-0-8194-8406-2 0277-786X S. 786908-1-786908-9 Bellingham SPIE 2011
mrcbU67 Stork D. G., Coddington J., Bentkowska-Kafel A. 340