水利水电技术（中英文）

为了解决桥梁预制构件点云模型质量差、噪点多的问题，对产生点云模型质量问题的原因进行分析。基于噪点产生原因，提出了基于邻近点空间关系的高频噪声剔除算法与基于双边滤波的低频噪声平滑算法。以一根25 m长的混凝土T梁为对象进行算法验证。试验结果表明，所提出的算法能够高效率地处理高频噪声与低频噪声，显著提升模型质量。将算法结果与其他方法进行对比，证明算法效率较高。

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.