Apocalypto: revealing lost text with XMT

David Mills; Graham R. Davis; Yu-kun Lai; Paul Rosin

doi:10.1117/12.2061956

11 September 2014 Apocalypto: revealing lost text with XMT

David Mills, Graham R. Davis, Yu-kun Lai, Paul Rosin

Proceedings Volume 9212, Developments in X-Ray Tomography IX; 921210 (2014) https://doi.org/10.1117/12.2061956
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

“Can brute-force high-contrast tomography techniques and image processing techniques retrieve textual content from damaged heritage materials?” The Dental Institute at Queen Mary University of London (QMUL) is the leading centre for very high contrast X-Ray Microtomography imaging. The Apocalypto Project is our collaboration with the heritage community and experts in Computer Vision systems in the Computer Science Department at Cardiff University. This collaboration has developed techniques and a workflow that allows us to reveal textual content from moisture-damaged parchment rolls. This article will also present some initial results from burned and heat shrunken parchment rolls, an insect damaged Mamluk cap and a birch bark roll.

Citation Download Citation

David Mills, Graham R. Davis, Yu-kun Lai, and Paul Rosin "Apocalypto: revealing lost text with XMT", Proc. SPIE 9212, Developments in X-Ray Tomography IX, 921210 (11 September 2014); https://doi.org/10.1117/12.2061956

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available