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自由曲面重构中的Hilbert扫描-小波变换去噪处理
De-noise Processing of Wavelet Transform in Free-form Surface Reconstruction
【摘要】 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Hilbert扫描和小波分解,提取低频分量,再应用Unigraphics软件中的NURBS完成曲面重构,并对曲面重构的精度和效率进行了分析、验证。
【Abstract】 The paper introduces the application of wavelet analysis in the surface de-noising,a large amount of noises are randomly extracted from the constructed original surface that are analyzed by using Hilbert curve and wavelet analysis,and lower frequency component is extracted,then the surface are reconstructed by NURBS in Unigraphics,it’s efficiency and precision are analyzed and validated.
【关键词】 逆向工程;
曲面重构;
Hilbert扫描;
小波分解;
NURBS;
【Key words】 Reverse engineering; Surface reconstruction; Hilbert curve; Wavelet analysis; NURBS;
【Key words】 Reverse engineering; Surface reconstruction; Hilbert curve; Wavelet analysis; NURBS;
【基金】 江苏省教育厅自然基金项目(07KJD460082);江苏省高校重点建设实验室开放基金项目(KXJ07116)
- 【文献出处】 拖拉机与农用运输车 ,Tractor & Farm Transporter , 编辑部邮箱 ,2009年05期
- 【分类号】TP391.7
- 【被引频次】1
- 【下载频次】58