@inproceedings{4a13e576a272412c80a820ec1ca3746b,
title = "Hyper-spectral acquisition on historically accurate reconstructions of red organic lakes",
abstract = "Our cultural heritage is constituted by irreplaceable artworks that must be known and preserved. Their study and documentation should be in principle carried out using non-invasive approaches. The technological advances in spectroscopic imaging acquisition devices made it possible to apply this methodology to such purpose. In this context, the present paper discusses a particularly challenging task within the conservation field, which is the identification of red lake pigments in artworks, applying Vis-NIR hyper-spectral imaging spectroscopy. The latter was used to characterize and discriminate between historically accurate paint reconstructions of brazilwood (vegetal) and cochineal (animal) lake pigments. The same paints were also analyzed with Fiber Optic Reflectance Spectroscopy to validate the data obtained with the imaging method. The requirements for a successful identification of these pigments are addressed, and future research is suggested in order to increase the usefulness of the technique's application.",
keywords = "Brazilwood, Cochineal, Hyper-spectral imaging, Non-invasive approach, Red lake pigments",
author = "Tatiana Vitorino and Andrea Casini and Costanza Cucci and Melo, {Maria Jo{\~a}o} and Marcello Picollo and Lorenzo Stefani",
note = "Sem pdf conforme despacho. European Cooperation in Science and Technology, Colour and Space in Cultural Heritage (COSCH, www. cosch. info) - COST Action TD120 ; 6th International Conference on Image and Signal Processing, ICISP 2014 ; Conference date: 30-06-2014 Through 02-07-2014",
year = "2014",
doi = "10.1007/978-3-319-07998-1_29",
language = "English",
isbn = "978-3-319-07997-4",
volume = "8509 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "257--264",
booktitle = "Image and Signal Processing - 6th International Conference, ICISP 2014, Proceedings",
}