Highlights
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The artificial neural network-based computer vision technique can be used to automatically classify rock joint profiles with reasonably good classification accuracies.
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A total of 200 images of rock joints are used to train and test the proposed method.
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This method overcomes drawbacks of the conventional visual assessment, leading to reduced subjectivity and costs, and rapid estimation of rock joint profile roughness.
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The work presented here is funded by the University of New South Wales, School of Minerals and Energy Resources Engineering Collaborative Research Fund.
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Zhu, X., Zhang, J., Oh, J. et al. Classification of Rock Joint Profiles Using an Artificial Neural Network-Based Computer Vision Technique. Rock Mech Rock Eng 57, 3083–3090 (2024). https://doi.org/10.1007/s00603-023-03691-8
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DOI: https://doi.org/10.1007/s00603-023-03691-8