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Statements

Subject Item
n2:RIV%2F61388980%3A_____%2F10%3A00342149%21RIV11-GA0-61388980
rdf:type
n6:Vysledek skos:Concept
dcterms:description
Our paper introduces a system based on digital image processing algorithms designed to facilitate analysis of painting materials during artwork conservation. Microscopic images of minute samples - cross sections – from the artworks are scanned using visible and ultraviolet spectra and under scanning electron microscope. Firstly, the scans are registered to remove geometrical differences. The multimodal nature of the problem led to the application of mutual information. The image quality is maximized by means of blind deconvolution methods. Cross-sections are then segmented to individual layers and distinctive seeds. For the image retrieval part, which facilitates further analyzes and conclusions, the layers are represented by means of wavelet analysis and secondorder statistics. The library of such features can be connected to the time of creation and differences between vectors of the same materials but from different paintings can help during a painter authentication. Our paper introduces a system based on digital image processing algorithms designed to facilitate analysis of painting materials during artwork conservation. Microscopic images of minute samples - cross sections – from the artworks are scanned using visible and ultraviolet spectra and under scanning electron microscope. Firstly, the scans are registered to remove geometrical differences. The multimodal nature of the problem led to the application of mutual information. The image quality is maximized by means of blind deconvolution methods. Cross-sections are then segmented to individual layers and distinctive seeds. For the image retrieval part, which facilitates further analyzes and conclusions, the layers are represented by means of wavelet analysis and secondorder statistics. The library of such features can be connected to the time of creation and differences between vectors of the same materials but from different paintings can help during a painter authentication.
dcterms:title
Analysis of painting materials on multimodal microscopic level Analysis of painting materials on multimodal microscopic level
skos:prefLabel
Analysis of painting materials on multimodal microscopic level Analysis of painting materials on multimodal microscopic level
skos:notation
RIV/61388980:_____/10:00342149!RIV11-GA0-61388980
n3:aktivita
n8:I n8:P n8:Z
n3:aktivity
I, P(1M0572), P(GA102/08/1593), P(GA203/07/1324), Z(AV0Z10750506), Z(AV0Z40320502), Z(MSM6046144603)
n3:dodaniDat
n10:2011
n3:domaciTvurceVysledku
n14:5758491
n3:druhVysledku
n5:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
246435
n3:idVysledku
RIV/61388980:_____/10:00342149
n3:jazykVysledku
n7:eng
n3:klicovaSlova
material image analysis; digital restoration; image retrieval
n3:klicoveSlovo
n15:material%20image%20analysis n15:image%20retrieval n15:digital%20restoration
n3:kontrolniKodProRIV
[7E64503676AB]
n3:mistoKonaniAkce
San Jose
n3:mistoVydani
San Jose
n3:nazevZdroje
Proceedings of SPIE IS&T/SPIE Electronic Imaging 2010
n3:obor
n21:JC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
4
n3:projekt
n11:1M0572 n11:GA102%2F08%2F1593 n11:GA203%2F07%2F1324
n3:rokUplatneniVysledku
n10:2010
n3:tvurceVysledku
Zitová, Barbara Beneš, Miroslav Hradil, David Hradilová, J.
n3:typAkce
n18:WRD
n3:zahajeniAkce
2010-01-17+01:00
n3:zamer
n13:MSM6046144603 n13:AV0Z10750506 n13:AV0Z40320502
s:numberOfPages
9
n4:hasPublisher
SPIE
n16:isbn
978-0-8194-7924-2