Microcomputed tomography for discriminating between different forming techniques in ancient pottery: New segmentation method and pore distribution recognition
Year: 2021
Type: article
Abstract: Microcomputed tomography is a valuable tool for studying ancient ceramics technology. Analysing pottery 3‐D images is a challenging issue, the data being extremely noisy and heterogeneous. Quantitative criteria are introduced for the characterisation of a previously unrecognised pottery building method, the Spiralled Patchwork Technology (SPT). An analytical protocol has been implemented that applies to 3‐D reconstructions of ceramic sherds and integrates automatic segmentation of porous systems and shape recognition using Hough transform. It enables discriminating between SPT and other techniques for vessels manufacture, and opens up many perspectives for independent characterisation of ancient technical gestures in ceramic technology.
Source: Archaeometry
DOI: 10.1111/arcm.12693
Institutions: Centre National de la Recherche Scientifique, Université Côte d'Azur, Cultures et Environnements. Préhistoire, Antiquité, Moyen Âge, Trajectoires. De la sédentarisation à l’État, Université Paris 1 Panthéon-Sorbonne, Laboratoire de PhysioMédecine Moléculaire, Université de Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, Ministère de la Culture, Institut photonique d'analyse non-destructive européen des matériaux anciens, Institut national de recherche en sciences et technologies du numérique, Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis, FACTAS: Analyse fonctionnelle pour la conception et l'analyse de systèmes
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: Idex UCA JEDI, G406651286
OpenAlex ID: W3163668445