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基于小波变换和NURBS的自由曲面重构的去噪处理

         

摘要

Wavelet analysis theory is a new theory in signal processing and performs well in local analysis in both frequency and time domains. Due to the advantage in time-frequency analysis, wavelet analysis has played a particularly important role in signal de-noising. The application of wavelet analysis in surface de-noising was introduced in this paper. Wavelet analysis of original surface was carried out, on which a large amount of noises were added randomly, and lower frequency components were then extracted. Thus the surface was reconstructed by NURBS in Unigraphics, and the reconstruction accuracy was finally ana-lyzed.%小波分析理论是一种新兴的信号处理理论,在时间和频率上都有很好的局部性.借助时一频局部分析特性,小波分析理论已成为信号去噪处理的一种重要的工具.介绍了小波分析理论在曲面去噪中的应用,在所设计的原始曲面上随机设置噪声,对含噪声的原始曲面型值点数据进行小波分解,提取低频分量,再应用UG软件中的NURBS完成曲面重构,并对曲面重构精度进行了分析.

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