Automatic pigment identification from hyperspectral data.
Art objects conservation or historical analysis necessitates a thorough knowledge of materials used by the artist and their subsequent changes. In the case of paintings this requires the ability to correctly identify the pigments that were used for creation or later restoration of the artwork. This...
| Publicado en: | Journal of Cultural Heritage Vol. 31; pp. 1 - 13 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
May2018
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=129122156&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 129122156 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 12962074 KK8 jtl: Journal of Cultural Heritage issn: 12962074 maglogo: N pubinfo: dt: May2018 vid: 31 pid: 467 pub: Elsevier B.V. artinfo: ui: 129122156 10.1016/j.culher.2018.01.003 ppf: 1 ppct: 12 formats: tig: atl: Automatic pigment identification from hyperspectral data. aug: au: Grabowski, Bartosz Masarczyk, Wojciech Głomb, Przemysław Mendys, Agata affil: Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland National Museum in Krakow, Laboratory of Analysis and Nondestructive Investigation of Heritage Objects (LANBOZ), Piłsudskiego 14, 31-109 Kraków, Poland su: Image segmentation Data extraction Image processing Hyperspectral imaging systems Imaging systems sug: subj: Image segmentation Data extraction Image processing Hyperspectral imaging systems Imaging systems keyword: Classification Endmember estimation Hyperspectral imaging Pigment identification Spectral unmixing ab: Art objects conservation or historical analysis necessitates a thorough knowledge of materials used by the artist and their subsequent changes. In the case of paintings this requires the ability to correctly identify the pigments that were used for creation or later restoration of the artwork. This is a challenging problem, as the applied method should be non-contact, robust for the wide variety of chemical substances used and straightforward in the interpretation. Recently, the hyperspectral imaging has emerged as a promising measuring methodology for this kind of the artwork analysis; the combination of acquiring spectral information and planar (photography-like) pixel arrangement provides a lot of potential for material characterization. While initial studies of hyperspectral imaging application to art objects analysis are encouraging, the difficulties of working with its multidimensional data are acknowledged; in many cases complex algorithms are required to fully utilize its potential. In this paper, we study the problem of algorithm design for pigment identification based on a hyperspectral image of a painting. We combine various processing steps to achieve a robust solution requiring minimal user intervention. Using a special set of paintings and a reference pigment database we demonstrate the viability of applying this method in the pigment recognition setting. Our results confirm the potential of using hyperspectral imaging in the art conservation setting, and based on them we discuss the potential construction and elements of such an algorithm. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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