Use-wear and Technological Analysis of the Knapped Lithic Assemblage from the Early Bronze Age Hut of Calicantone (Sicily, Italy)

Sferrazza, Paolo; Militello, Pietro

doi:10.1080/01977261.2024.2334156

Cited by 1 publication

(1 citation statement)

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“…The Cretaceous int from Monte Tabuto ( g. 1a, 1c) displays a light sandy colour with a coarse surface, while that from Monterosso Almo was a Miocene ne-grained int ( g. 1d-e) (Nicoletti, 1990(Nicoletti, , 1997. The selection of int from such speci c areas was due to the initial constitution of an experimental collection suitable for analysing contexts in southeastern Sicily (Magro et al, 2021;Militello et al, 2018;Sferrazza, 2018Sferrazza, , 2022Sferrazza, , 2023Sferrazza-Militello, 2024). Instead, the test dataset (supplementary materials A) had Sicilian and non-Sicilian archaeological artefacts.…”

Section: Image Acquisition and Image Database Creationmentioning

confidence: 99%

Archaeological and experimental lithic microwear classification through 2D textural analysis and machine learning

Sferrazza

2024

Preprint

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The paper focuses on introducing 2D texture analysis as a quantitative method for functional analysis in archaeology. Indeed, for the first time, different techniques of quantitative feature extraction and machine learning algorithms applied to the functional analysis of archaeological lithic tools are described and compared. The method presented relies on five techniques of quantitative feature extraction from photographic images and six classification techniques through machine learning algorithms. After creating a training dataset with experimental traces, machine learning models were used to classify 23 images (10 experimental and 13 archaeological). The best result achieved a classification accuracy of 87%, demonstrating the ability to interpret use-wear traces correctly on both experimental and archaeological artefacts regardless of the geological origin of the flint (Sicily in Italy and Sachsen-Anhalt in Germany). The paper proposes to use the method as a fundamental tool in functional analysis to remove subjectivity criteria from traditional analysis and to address issues related to the credibility of the discipline, calibration, standardisation, and reproducibility of methods and results.

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Section: Image Acquisition and Image Database Creationmentioning

confidence: 99%

Archaeological and experimental lithic microwear classification through 2D textural analysis and machine learning

Sferrazza

2024

Preprint

View full text Add to dashboard Cite

show abstract

Use-wear and Technological Analysis of the Knapped Lithic Assemblage from the Early Bronze Age Hut of Calicantone (Sicily, Italy)

Cited by 1 publication

References 31 publications

Archaeological and experimental lithic microwear classification through 2D textural analysis and machine learning

Archaeological and experimental lithic microwear classification through 2D textural analysis and machine learning

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