使用3D-Bresenham对结构化网格进行重采样

L. Dimitrov, M. Srámek
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引用次数: 6

摘要

讨论了结构网格及其在自然科学中的一些应用。对其可视化和定量评价问题进行了探讨,并提出了可能的解决方法。将结构化网格重新采样到常规网格上就是这样一种可能的解决方案,它还提供了支持定量评估的额外好处。这种重新采样是通过结构化网格的初步四面体化和随后使用3D-Bresenham算法对组成四面体进行数字化来实现的。与其他可能的方案相比,讨论了这种方法的优点和缺点。本文介绍了一种基于开源f3d文件格式存储和传输体积数据的实现,并给出了将其应用于实际数据的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using 3D-Bresenham for resampling structured grids
Structured grids and some of their applications in natural sciences are discussed. The problem of their visualization and quantitative evaluation is considered and possible ways for its solution sketched. Resampling a structured grid onto a regular one is such a possible solution offering the additional benefit of enabling quantitative evaluations, too. This resampling is achieved by a preliminary tetrahedronization of the structured grid(s) and a subsequent digitalization of the constituent tetrahedrons using an adaptation of the 3D-Bresenham algorithm. Advantages and disadvantages of this approach as compared to other possible schemes are discussed. An implementation based on our open source f3d-file format for storage and transmission of volumetric data is presented, and results from applying it to real-world data shown.
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