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Description
  • 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.
  • 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. (en)
Title
  • Removing the Artifacts from Artwork Cross-section Images
  • Removing the Artifacts from Artwork Cross-section Images (en)
skos:prefLabel
  • Removing the Artifacts from Artwork Cross-section Images
  • Removing the Artifacts from Artwork Cross-section Images (en)
skos:notation
  • RIV/61388980:_____/11:00365018!RIV12-AV0-61388980
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), Z(AV0Z10750506), Z(AV0Z40320502)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 226528
http://linked.open...ai/riv/idVysledku
  • RIV/61388980:_____/11:00365018
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image processing; image enhancement; cultural heritage (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [323AF35F2C8C]
http://linked.open...v/mistoKonaniAkce
  • Brussels
http://linked.open...i/riv/mistoVydani
  • Brussels
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 18th IEEE International Conference on Image Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hradil, David
  • Hradilová, J.
  • Zitová, Barbara
  • Beneš, Miroslav
  • Blažek, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4577-1302-6
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