Abry, Patrice and Klein, Andrew G. and Messier, Paul and Roux, Stéphane and Ellis, Margaret Holben and Sethares, William A. and Picard, David and Zhai, Yuanhao and Neuhoff, David L. and Wendt, Herwig
and Jaffard, Stéphane and Johnson, Richard
Wove Paper Analysis through Texture Similarities.
(2016)
In: 50th IEEE Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2016), 6 November 2016 - 9 November 2016 (Pacific Grove, United States).
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 528kB |
Official URL: http://dx.doi.org/10.1109/ACSSC.2016.7869012
Abstract
Wove paper, made on a papermaking screen or mold having a surface of smooth tightly woven wires, was the predominant paper type used for printing in the twentieth century. To aid in the study and classification of fine art prints on wove paper, the present work compares the results of five different image processing approaches for characterizing surface texture. Using a collection of popular wove papers, a reference dataset of raking light close-up images was assembled. Five research teams undertook their own processing strategies to detect affinities among the paper samples. Their success in identifying similarity groupings are reported.
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