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Proceedings Paper

Advanced image analysis for the preservation of cultural heritage
Author(s): Fenella G. France; William Christens-Barry; Michael B. Toth; Kenneth Boydston
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Paper Abstract

The Library of Congress' Preservation Research and Testing Division has established an advanced preservation studies scientific program for research and analysis of the diverse range of cultural heritage objects in its collection. Using this system, the Library is currently developing specialized integrated research methodologies for extending preservation analytical capacities through non-destructive hyperspectral imaging of cultural objects. The research program has revealed key information to support preservation specialists, scholars and other institutions. The approach requires close and ongoing collaboration between a range of scientific and cultural heritage personnel - imaging and preservation scientists, art historians, curators, conservators and technology analysts. A research project of the Pierre L'Enfant Plan of Washington DC, 1791 had been undertaken to implement and advance the image analysis capabilities of the imaging system. Innovative imaging options and analysis techniques allow greater processing and analysis capacities to establish the imaging technique as the first initial non-invasive analysis and documentation step in all cultural heritage analyses. Mapping spectral responses, organic and inorganic data, topography semi-microscopic imaging, and creating full spectrum images have greatly extended this capacity from a simple image capture technique. Linking hyperspectral data with other non-destructive analyses has further enhanced the research potential of this image analysis technique.

Paper Details

Date Published: 16 February 2010
PDF: 12 pages
Proc. SPIE 7531, Computer Vision and Image Analysis of Art, 75310E (16 February 2010); doi: 10.1117/12.839000
Show Author Affiliations
Fenella G. France, The Library of Congress (United States)
William Christens-Barry, Equipoise Imaging, LLC (United States)
Michael B. Toth, R. B. Toth Associates (United States)
Kenneth Boydston, Megavision Inc. (United States)

Published in SPIE Proceedings Vol. 7531:
Computer Vision and Image Analysis of Art
David G. Stork; Jim Coddington; Anna Bentkowska-Kafel, Editor(s)

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