bibtype	C - Conference Paper (international conference)
ARLID	0342149
utime	20250206154007.6
mtime	20110127235959.9
WOS	000283783900013
DOI	10.1117/12.838872
title (primary) (eng)	Analysis of painting materials on multimodal microscopic level
specification	page_count 9 s. media_type www
serial	ARLID cav_un_epca*0342148 ISBN 978-0-8194-7924-2 ISSN 0277-786X title Proceedings of SPIE IS&T/SPIE Electronic Imaging 2010 part_num 7531 part_title Computer Vision and Image Analysis of Art publisher place San Jose name SPIE year 2010 editor name1 Stork name2 D. G. editor name1 Coddington name2 J. editor name1 Bentkowska-Kafel name2 A.
keyword	material image analysis
keyword	digital restoration
keyword	image retrieval
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*0200827 name1 Hradilová name2 J. country CZ
author	ARLID cav_un_auth*0102665 name1 Hradil name2 David institution UACH-T full_dept Academic Laboratory of Material Research of Painted Artworks fullinstit Ústav anorganické chemie AV ČR, v. v. i.
source	source_type pdf url http://library.utia.cas.cz/separaty/2010/ZOI/zitova-analysis%20of%20painting%20materials%20on%20multimodal%20microscopic%20level.pdf
cas_special	project project_id 1M0572 agency GA MŠk ARLID cav_un_auth*0001814 project project_id GA203/07/1324 agency GA ČR ARLID cav_un_auth*0228670 project project_id GA102/08/1593 agency GA ČR ARLID cav_un_auth*0239572 project project_id M100750901 agency GA AV ČR country CZ ARLID cav_un_auth*0261455 research CEZ:AV0Z10750506 research CEZ:AV0Z40320502 abstract (eng) Our paper introduces a system based on digital image processing algorithms designed to facilitate analysis of painting materials during artwork conservation. Microscopic images of minute samples - cross sections – from the artworks are scanned using visible and ultraviolet spectra and under scanning electron microscope. Firstly, the scans are registered to remove geometrical differences. The multimodal nature of the problem led to the application of mutual information. The image quality is maximized by means of blind deconvolution methods. Cross-sections are then segmented to individual layers and distinctive seeds. For the image retrieval part, which facilitates further analyzes and conclusions, the layers are represented by means of wavelet analysis and secondorder statistics. The library of such features can be connected to the time of creation and differences between vectors of the same materials but from different paintings can help during a painter authentication. action ARLID cav_un_auth*0261454 name IS&T/SPIE Electronic Imaging 2010 place San Jose dates 17.01.2010-21.01.2010 country US reportyear 2011 RIV JC permalink http://hdl.handle.net/11104/0005857 mrcbT16-q 90 mrcbT16-s 0.200 mrcbT16-y 13.23 mrcbT16-x 0.28 arlyear 2010 mrcbU34 000283783900013 WOS mrcbU56 pdf mrcbU63 cav_un_epca*0342148 Proceedings of SPIE IS&T/SPIE Electronic Imaging 2010 Computer Vision and Image Analysis of Art 7531 978-0-8194-7924-2 0277-786X 75310F-1-75310F-9 San Jose SPIE 2010 mrcbU67 Stork D. G. 340 mrcbU67 Coddington J. 340 mrcbU67 Bentkowska-Kafel A. 340