0365018 20240103195614.720111031235959.9 000298962503168 Removing the Artifacts from Artwork Cross-section Images 4 s. USB cav_un_epca*0365017978-1-4577-1302-6Proceedings of the 18th IEEE International Conference on Image Processing3598-3601BrusselsIEEE2011 image processing image enhancement cultural heritage 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*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*0254045 Blažek Jan 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*0243727 Hradilová J. CZ cav_un_auth*0102665 Hradil David Centrum instrumentálních technik Centre of Instrumental Techniques CIT CIT UACH-T Academic Laboratory of Material Research of Painted Artworks Ústav anorganické chemie AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/ZOI/benes-removing the artifacts from artwork cross-section images.pdf 1M0572 GA MŠk cav_un_auth*0001814 CEZ:AV0Z10750506 CEZ:AV0Z40320502 In this paper we propose a method for automatic removal of artifacts from artwork cross-section images. Cross-section images of minute samples are acquired during the painting material research of an artwork before actual conservation is performed. Such images are unfortunately damaged by the artifacts from grinding of the resin in which the sample is embedded. Removing those artifacts can improve the outcome of image segmentation and other image processing methods. The proposed algorithm can also simplify an analysis of underdrawings by reducing the canvas structure after infrared acquisition. Despite the idea is not entirely original, the application to cultural heritage data is novel and the implementation does not require user interaction. cav_un_auth*0274832 ICIP 18th IEEE International Conference on Image Processing Brussels 11.09.2011-14.09.2011 BE 2012 JD http://hdl.handle.net/11104/0200360 2011 000298962503168 WOS cav_un_epca*0365017 Proceedings of the 18th IEEE International Conference on Image Processing 978-1-4577-1302-6 3598 3601 Brussels IEEE 2011