Non‐invasive on‐site method for thickness measurement of transparent ceramic glazes based on depth from focus
Bibliographic Data
| ID | 8354064 |
|---|---|
| Authors | Corentin Cou (0000-0002-9677-0741, Inria Bordeaux Sud‐Ouest Talence France, corresponding author), Ayed Ben Amara (0000-0002-8673-1722, Archéosciences Bordeaux, UMR 6034, CNRS Université Bordeaux Montaigne Pessac France), Xavier Granier (0000-0003-1349-2297, LP2N UMR 5298, Institut d'Optique Graduate School Talence France) |
| Year | 2023 |
| Volume | 65 |
| Issue | 1 |
| Pages | 105-117 |
| Publication date | 2023-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Archaeometry (JOURNAL) |
| Journal identifiers | ISSN: 0003-813X • E-ISSN: 1475-4754 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/arcm.12813 |
| OpenAlex | W4288427194 |
| Language | EN |
| References cited | 15 |
Glazed ceramics are a common material analyzed through geochemistry, whether in the form of tableware collected during excavations or tiles observed as part of architectural features. Within the framework of these studies, measuring the thickness of the transparent glaze is one of the useful variables available for the characterization of the ceramic, contributing to searches for provenance as well as serialization. However, this task often requires invasive methods performed in the laboratory, which may not always be possible. This paper develops a non‐invasive and portable on‐site system for measuring the thickness of ceramic glazes. Based on the depth from focus technique, this method makes use of a classical camera, a macroscopic lens, a translation stage, and a laptop for system control. In this article, we test this method through the measurement of glaze for ten samples as compared to results obtained for sections through scanning electron microscopy
Ceramic · Characterization (materials science) · Composite material · Focus (optics) · Glaze · Laptop · Mineralogy · Nanotechnology · Optics · Physics · Bacterial Identification and Susceptibility Testing · Computer Science · Geology · Image and Object Detection Techniques · Image Processing Techniques and Applications · Materials Science
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| Highly cited | No |
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