Comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation

Yusman Azimi Yusoff, F. Mohamed, M. Sunar, A. Selamat, N. Jaafar
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Abstract

This paper presents an improved seed point placement to locate initial seed points based on magnitude value. The vector field is separated in to grid to ensure the uniformity in generating streamlines and broader streamlines coverage, thus reducing poor visualisation information especially near to visualisation boundary. An evaluation using mean square error is conducted to evaluate the improvement in term of streamlines placement uniformity. Result shows that proposed method able to come out with lower mean square error value compared to evenly-spaced in across different separation distance, resulting better streamlines control to produce uniform visualisation result. Finally, the proposed method can be improved in many aspects to come out with a better visualisation result in two and possibly three dimension flow visualisation.
流线生成中种子点放置与基于大小的视觉增强的对比分析
提出了一种基于震级值定位初始种子点的改进种子点放置方法。矢量场被分割到两个网格中,保证了流线生成的均匀性和流线覆盖范围的扩大,从而减少了可视化信息不佳的情况,特别是在可视化边界附近。利用均方误差对流线放置均匀性的改善进行了评价。结果表明,该方法在不同的分离距离上均方误差值均小于均匀间隔的图像,可以更好地控制流线,从而产生均匀的可视化结果。最后,本文提出的方法可以在许多方面进行改进,从而在二维甚至三维流的可视化中获得更好的可视化效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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