Original title: Determining the Sphericity of Sand Grains by AI Computer Vision Research
Authors: Misiołek, Katarzyna ; Dąbska, Agnieszka ; Mazurek, Artur
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně,Fakulta stavební
Abstract: 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.
Keywords: AI; SAM; Sand; sphericity
Host item entry: Juniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineering, ISBN 978-80-86433-83-7

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/245459

Permalink: http://www.nusl.cz/ntk/nusl-614431


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers