Number of the records: 1  

Removing the Artifacts from Artwork Cross-section Images

  1. 1.
    SYSNO ASEP0365018
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleRemoving the Artifacts from Artwork Cross-section Images
    Author(s) Beneš, Miroslav (UTIA-B) RID, ORCID
    Zitová, Barbara (UTIA-B) RID, ORCID
    Blažek, Jan (UTIA-B) RID, ORCID
    Hradilová, J. (CZ)
    Hradil, David (UACH-T) RID, SAI
    Source TitleProceedings of the 18th IEEE International Conference on Image Processing. - Brussels : IEEE, 2011 - ISBN 978-1-4577-1302-6
    Pagess. 3598-3601
    Number of pages4 s.
    Publication formUSB - USB
    ActionICIP 18th IEEE International Conference on Image Processing
    Event date11.09.2011-14.09.2011
    VEvent locationBrussels
    CountryBE - Belgium
    Event typeWRD
    Languageeng - English
    CountryBE - Belgium
    Keywordsimage processing ; image enhancement ; cultural heritage
    Subject RIVJD - Computer Applications, Robotics
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AV0Z40320502 - UACH-T (2005-2011)
    UT WOS000298962503168
    AnnotationIn 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.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2012
Number of the records: 1  

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