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Microcomputed tomography for discriminating between different forming techniques in ancient pottery: New segmentation method and pore distribution recognition

Vanna Lisa Coli, Louise Gomart, Didier F. Pisani, Serge X. Cohen, L. Blanc‐Féraud, Juliette Leblond, D. Binder

2021Archaeometry14 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

PotteryCeramicSegmentationArtificial intelligenceComputer scienceHough transformGeologyTomographyComputer visionPattern recognition (psychology)ArchaeologyMaterials scienceImage (mathematics)GeographyComposite materialOpticsPhysicsImage Processing and 3D ReconstructionCultural Heritage Materials AnalysisImage and Object Detection Techniques
Microcomputed tomography for discriminating between different forming techniques in ancient pottery: New segmentation method and pore distribution recognition | Litcius