Noise treatment for precast bridge components based on 3D point cloud modelling

Abstract

To address the issues of poor quality and excessive noise in point cloud models of prefabricated bridge components, this study analyzes the underlying causes of these quality problems. Based on the identified sources of noise, a high-frequency noise removal algorithm utilizing the spatial relationships of neighboring points and a low-frequency noise smoothing algorithm based on bilateral filtering are proposed. A 25-meter-long concrete T-beam is used as a case study to verify the effectiveness of the proposed algorithms. Experimental result demonstrate that the proposed method can efficiently eliminate both high-frequency and low-frequency noise, significantly enhancing the quality of the point cloud model. Comparative analysis with existing method further confirms the superior efficiency and effectiveness of the proposed approach.

Keywords

3D point cloud / point cloud data / noise removal / bilateral filtering