An alternative approach to mapping pigments in paintings with hyperspectral reflectance image cubes using artificial intelligence

An alternative approach to mapping pigments in paintings with hyperspectral reflectance image cubes using artificial intelligence

Abstract Spectral imaging modalities, including reflectance and X-ray fluorescence, play an important role in conservation science. In reflectance hyperspectral imaging, the data are classified into areas having similar spectra and turned into labeled pigment maps using spectral features and fusing...

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Bibliographic Details
Main Authors: Tania Kleynhans, Catherine M. Schmidt Patterson, Kathryn A. Dooley, David W. Messinger, John K. Delaney
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:Heritage Science
Subjects:
Reflectance imaging spectroscopy
Hyperspectral imaging
Convolutional neural network
Pigment mapping
Illuminated manuscripts
Online Access:http://link.springer.com/article/10.1186/s40494-020-00427-7

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http://link.springer.com/article/10.1186/s40494-020-00427-7

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