An improved bilateral filtering based on curvature feature for point cloud denoising in road surface detection

Si Chen

doi:10.1117/12.3000895

7 March 2024 An improved bilateral filtering based on curvature feature for point cloud denoising in road surface detection

Si Chen

Author Affiliations +

Proceedings Volume 13088, MIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 130880M (2024) https://doi.org/10.1117/12.3000895
Event: Twelfth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2023), 2023, Wuhan, China

Abstract

To effectively remove noise from the point clouds obtained for road surface defect detection while preserving the feature information, a bilateral filtering algorithm based on curvature features is proposed for denoising road surface defect point clouds. First, divide the noise points in the point cloud into several regions based on their distribution characteristics and curvature features. Then use statistical filtering to remove noise points in the obvious noise area and the flat area. Finally, an improved bilateral filtering algorithm is applied to smooth the noise points in the complex detail area.

Citation Download Citation

Si Chen "An improved bilateral filtering based on curvature feature for point cloud denoising in road surface detection", Proc. SPIE 13088, MIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 130880M (7 March 2024); https://doi.org/10.1117/12.3000895

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