0342149 20251120155548.920110127235959.9 000283783900013 10.1117/12.838872 9 s. www cav_un_epca*0342148978-0-8194-7924-20277-786X7531Computer Vision and Image Analysis of ArtSan JoseSPIE2010StorkD. G.CoddingtonJ.Bentkowska-KafelA. material image analysis digital restoration image retrieval cav_un_auth*0101238 Zitová Barbara Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0213982 Beneš Miroslav Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0200827 Hradilová J. CZ cav_un_auth*0102665 Hradil David UACH-T Academic Laboratory of Material Research of Painted Artworks Ústav anorganické chemie AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2010/ZOI/zitova-analysis%20of%20painting%20materials%20on%20multimodal%20microscopic%20level.pdf 1M0572 GA MŠk cav_un_auth*0001814 GA203/07/1324 GA ČR cav_un_auth*0228670 GA102/08/1593 GA ČR cav_un_auth*0239572 M100750901 GA AV ČR CZ cav_un_auth*0261455 CEZ:AV0Z10750506 CEZ:AV0Z40320502 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. cav_un_auth*0261454 IS&T/SPIE Electronic Imaging 2010 San Jose 17.01.2010-21.01.2010 US 2011 JC http://hdl.handle.net/11104/0005857 90 0.200 13.23 0.28 2010 000283783900013 WOS pdf 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 Stork D. G. 340 Coddington J. 340 Bentkowska-Kafel A. 340