Comparison between different image acquisition methods for grain-size analysis and quantification of ceramic inclusions by digital image processing: how much similar are the results?

Author:

Maritan LaraORCID,Piovesan Rebecca,Dal Sasso Gregorio,Baklouti Siwar,Casas Lluís,Mazzoli Claudio,Salmaso Luigi,Corain Livio

Funder

Università degli Studi di Padova

Ministerio de Economía y Competitividad

Publisher

Springer Science and Business Media LLC

Subject

Archeology,Anthropology,Archeology

Reference65 articles.

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2. Andrä H, Combaret N, Dvorkin J, Glatt E, Han J, Kabel M, Keehm Y, Krzikalla F, Lee M, Madonna C, Marsh M, Mukerji T, Saenger EH, Sain R, Saxena N, Ricker S, Wiegmann A, Zhan X (2013) Digital rock physics benchmarks - Part I: Imaging and segmentation. Comput Geosci 50:25–32

3. Aprile A, Castellano G, Eramo G (2014) Combining image analysis and modular neural networks for classification of mineral inclusions and pores in archaeological potsherds. J Archaeol Sci 50:262–272

4. Aprile A, Castellano G, Eramo G (2019) Classification of mineral inclusions in ancient ceramics: comparing different modal analysis strategies. Archaeological and Anthropological Sciences, vol 11, pp 2557–2567

5. Arboretti Giancristofaro R, Bolzan M, Bonnini S, Corain L, Solmi F (2012) Advantages of closed testing method for multiple comparison procedures. Commun Stat Simul Compt 41:746–763

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