24 March 2017 Automatic classification of ceramic sherds with relief motifs
Author Affiliations +
J. of Electronic Imaging, 26(2), 023010 (2017). doi:10.1117/1.JEI.26.2.023010
A large corpus of ceramic sherds dating from the High Middle Ages has been extracted in Saran (France). The sherds have an engraved frieze made by the potter with a carved wooden wheel. These relief patterns can be used to date the sherds in order to study the diffusion of ceramic production. The aim of the ARCADIA project was to develop an automatic classification of this archaeological heritage. The sherds were scanned using a three-dimensional (3-D) laser scanner. After projecting the 3-D point cloud onto a depth map, the local variance highlighted the shallow relief patterns. The saliency region focused on the motif was extracted by a density-based spatial clustering of FAST points. An adaptive thresholding was then applied to the depth to obtain a binary pattern close to manual sampling. The five most representative types of motif were classified by training an SVM model with a pyramid histogram of visual words descriptor. Compared with other state-of-the-art methods, the proposed approach succeeded in classifying up to 84% of the binary patterns on a dataset of 377 scanned sherds. The automatic method is extremely time-saving compared to manual stamping.
© 2017 SPIE and IS&T
Teddy Debroutelle, Sylvie Treuillet, Aladine Chetouani, Matthieu Exbrayat, Lionel Martin, Sebastien Jesset, "Automatic classification of ceramic sherds with relief motifs," Journal of Electronic Imaging 26(2), 023010 (24 March 2017). https://doi.org/10.1117/1.JEI.26.2.023010 Submission: Received 7 July 2016; Accepted 7 March 2017
Submission: Received 7 July 2016; Accepted 7 March 2017


Binary data


3D scanning

3D image processing

Image classification



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