ISSN 1004-4140
CN 11-3017/P

一种工业CT点云数据的NURBS曲面重构算法

A Kind of NURBS Surface Reconstruction Method for Industrial CT Cloud Data

  • 摘要: 虽然CT技术已经发展得相当成熟,但保证检测数据重构的精度还存在较大困难。本文将工业CT图像转化为三维散乱点云数据,研究数据预处理算法;对处理后数据进行NURBS曲面插值,完成了对NURBS曲面的重构。以某工件工业CT图像为例,通过VG软件转化为点云数据,利用VC++和OpenGL编程实现数据预处理算法和NURBS曲面拟合,并用实例验证了该曲面造型方法的正确性。

     

    Abstract: Though CT technique has been developed for more than forty years,there are many difficulties in ensuring precision of surface reconstruction. For the Scattered Points from industrial CT image,a data pre-processing is implemented. After the process of extracting datapoint,the algorithms of fitting,interpolation and approximation is presented. Taking example for the scatter points which translate from CT image of a part by VG,the data pre-processing and approaching algorithm are implemented with VC++ and OpenGL software. The approach is proved to be correct by the example.

     

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