Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone

Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone

In the construction industry, along with traditional approaches for the visual and instrumental assessment of building materials, methods based on intelligent algorithms are increasingly appearing; in particular, machine learning and neural network technologies. The utilization of modern technologie...

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Bibliographic Details
Main Authors: Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Alexandr A. Shilov, Irina Razveeva, Diana Elshaeva, Andrei Chernil’nik, Gleb Onore
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
Subjects:
crushed stone
flakiness index
plate-like grains
needle-like grains
computer vision
neural network
Online Access:https://www.mdpi.com/1424-8220/25/6/1914
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