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Affine registration of multispectral images of historical documents for optimized feature recovery

Jones, C; Christens-Barry, WA; Terras, M; Toth, MB; Gibson, A; (2019) Affine registration of multispectral images of historical documents for optimized feature recovery. Digital Scholarship in the Humanities 10.1093/llc/fqz054. (In press). Green open access

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Abstract

Multispectral (MSI) imaging of historical documents can recover lost features, such as text or drawings. This technique involves capturing multiple images of a document illuminated using different wavelengths of light. The images created must be registered in order to ensure optimal results are produced from any subsequent image processing techniques. However, the images may be misaligned due to the presence of optical elements such as filters, or because they were acquired at different times or because the images were captured from different copies of the documents . There is little prior work or information available about which image registration techniques are most appropriate. Image registration of multispectral images is challenging as the illumination changes for each image and the features visible in images captured at different wavelengths may not appear consistently throughout the image sequence. Here, we compare three image registration techniques: two based on similarity measures and a method based on phase correlation. These methods are characterized by applying them to realistic surrogate images and then assessed on three different sets of real multispectral images. Mutual information is recommended as a measure for affine image registration when working with multispectral images of documentary material as it was proven to be more robust than the other techniques tested.

Type: Article
Title: Affine registration of multispectral images of historical documents for optimized feature recovery
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/llc/fqz054
Publisher version: https://doi.org/10.1093/llc/fqz054
Language: English
Additional information: © The Author(s) 2019. Published by Oxford University Press on behalf of EADH. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10083810
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