摘要
小波变换是一种新的信号时频分析方法,在时频两域均有良好的局部性。根据小波变换多分辨率的特点,提出应用小波技术进行点云数据的降噪。该方法首先对点云数据进行小波分解,然后对细节系数作用软阈值,最后进行小波重构。试验表明,该方法在保留原数据相似性的基础上,有效地抑制了噪声。
Wavelet transform is a new time-frequency analysis method of signal with good localization in time-frequency field. According to the features of multiresolution in wavelet transform, applying wavelet technology to denoise cloudy data is proposed. The cloudy data is decomposed with wavelet, then the details are acted with soft threshold and and reconstructed last. The similarity of original data is retained, and the noises are also restrained effectively by the method.
出处
《工具技术》
北大核心
2007年第10期102-105,共4页
Tool Engineering
关键词
逆向工程
数据降躁
小波分解
小波重构
Reverse engineering, data denoising, wavelet decomposing, wavelet reconstructing
