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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Benes, Miroslav Zitova, Barbara Blazek, Jan Hradilova, Janka Hradil, David |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic (Benes, Miroslav; Blazek, Jan) || Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague, Czech Republic (Zitova, Barbara) || Institute of Inorganic Chemistry, Academy of Sciences of the Czech Republic, Řež, Czech Republic (Hradil, David) || Academic Laboratory of Materials Research of Paintings, Academy of Fine Arts, Prague, Czech Republic (Hradilova, Janka) |
| Abstract | 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 un-derdrawings 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. |
| Starting Page | 3537 |
| Ending Page | 3540 |
| File Size | 4055955 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457713040 |
| ISSN | 15224880 |
| e-ISBN | 9781457713033 |
| e-ISBN | 9781457713026 |
| DOI | 10.1109/ICIP.2011.6116478 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-11 |
| Publisher Place | Belgium |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Painting Materials Image restoration Image segmentation Art Scanning electron microscopy cultural heritage Image processing image enhancement |
| Content Type | Text |
| Resource Type | Article |
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