Unsharp Mask Guided Filtering for Acoustic Point Cloud of Water-Conveyance Tunnel

نویسندگان

چکیده

The inner-surface damage of water conveyance tunnels is the main hidden danger that threatens their safety and leads to serious accidents. method based on principle acoustic reflection means inspecting water-conveyance tunnels. However, affected by tunnel environment equipment noise, obtained point cloud model inevitably suffers from which can produce erroneous results. Therefore, we proposed a novel filtering method, called unsharp-mask-guided for 3D cloud, reduce impact noise fuses ideas guided unsharp masking technique extends them considering position point. In addition, edge-aware weighting mean also used retain edge features while smoothing points. experimental results show our obtain impressive better performance in both simulated than many state-of-the-art methods.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2022

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app12136516