Classification of Amber Gemstone Objects by Shape

Armantas Ostreika; Marius Pivoras; Alfonsas Misevičius; Tomas Skersys; Linas Paulauskas

doi:10.20944/preprints202008.0336.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 14 August 2020 / Approved: 15 August 2020 / Online: 15 August 2020 (04:39:11 CEST)

The article describes a classification solution for amber stones. The problem of classifying amber is known for a long time among jewelers and artisans of amber art. Existing solutions can classify amber pieces according to color, but a need to classify by shape and texture is not satisfied up to now. The proposed solution is capable of classifying the gemstones according to a shape. Amber can be considered as a specific object since the form is difficult to define unambiguously. Data for amber experiments was gathered from amber art craftsmen. In the proposed solution amber form can be classified into 10 different classes (7 classes chosen during the experiment).

image processing; image classification; computer vision; expert systems; amber gemstones

Computer Science and Mathematics, Computer Vision and Graphics

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Classification of Amber Gemstone Objects by Shape

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