基于动态阈值与小波变换的三维激光扫描数据去噪

Denoising of 3D Laser Scanning Data Based on Dynamic Threshold and Wavelet Transform

三维激光扫描是一种可快速高精度进行非接触式量测的新技术,但由于仪器以及测量环境等因素的影响,其获取点云数据通常存在孤立的噪声点。小波变换是近年来发展的数学分支新领域,目前在众多领域中应用效果良好。引入小波变换并结合动态阈值进行扫描点云数据的孤立噪声点去除。结果表明,基于动态阈值的小波变换能有效滤除三维激光扫描点云孤立噪声点,去除噪声后的点云与真实情况更接近。

Three-dimensional laser scanning is a new technology for non-contact measurement with high speed and accuracy. However, due to the influence of instruments and measurement environment, there are usually isolated noise points in obtaining point cloud data. Wavelet transform is a new branch of mathematics developed in recent years, and it has been applied in many fields with good results. Wavelet transform and dynamic threshold are introduced to remove isolated noise points from scanned point cloud data. The results show that the wavelet transform based on dynamic threshold can effectively filter the isolated noise points of point cloud in three-dimensional laser scanning, and the point cloud after noise removal is closer to the real situation.