Název: Determining the Sphericity of Sand Grains by AI Computer Vision Research
Autoři: Misiołek, Katarzyna ; Dąbska, Agnieszka ; Mazurek, Artur
Typ dokumentu: Příspěvky z konference
Jazyk: eng
Nakladatel: Vysoké učení technické v Brně,Fakulta stavební
Abstrakt: The paper presents an approachable, free, open source and effective way of using AI models in geotechnics. The research consisted of two stages. First, granulometric tests were performed according to EN ISO 14688–1: 2018. Second, sand grains were identified and measured in gathered microscopic images (from a light microscope and an SEM). Segmentation, which allows the identification of image pixels belonging to an object, is a well-known but problematic area of image processing, and the use of AI techniques is one of the possible approaches to dealing with the issues involved with segmentation. The estimation of grain sphericity is used as an example to present how geotechnics specialists can customize AI and other software for their benefit with only basic knowledge of the Python programming language.
Klíčová slova: AI; SAM; Sand; sphericity
Zdrojový dokument: Juniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineering, ISBN 978-80-86433-83-7

Instituce: Vysoké učení technické v Brně (web)
Informace o dostupnosti dokumentu: Plný text je dostupný v Digitální knihovně VUT.
Původní záznam: https://hdl.handle.net/11012/245459

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-614431