Removing the Artifacts from Artwork Cross-section Images

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461446%3A52810%2F11%3A%230000098" target="_blank" >RIV/60461446:52810/11:#0000098 - isvavai.cz</a>

Výsledek na webu

<a href="http://library.utia.cas.cz/separaty/2011/ZOI/benes-removing%20the%20artifacts%20from%20artwork%20cross-section%20images.pdf" target="_blank" >http://library.utia.cas.cz/separaty/2011/ZOI/benes-removing%20the%20artifacts%20from%20artwork%20cross-section%20images.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Removing the Artifacts from Artwork Cross-section Images

Popis výsledku v původním jazyce

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. Suchimages 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 under-drawings 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.

Název v anglickém jazyce

Removing the Artifacts from Artwork Cross-section Images

Popis výsledku anglicky

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. Suchimages 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 under-drawings 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.

Druh

D - Stať ve sborníku

CEP obor

AL - Umění, architektura, kulturní dědictví

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 18th IEEE International Conference on Image Processing. S. 3598-3601. - Brussels: IEEE, 2011

ISBN

978-1-4577-1303-3

ISSN

1522-4880

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

IEEE

Místo vydání

BE - Belgie

Místo konání akce

Brussels, Belgium

Datum konání akce

1. 1. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000298962503168