Abstract: For large and complex flow data such as ocean flow field, it is nearly impossible to visualize the whole information it contains. This paper introduces a topological simplification of 3D scalar fields for extracting water mass, and realizes the feature-based visualization. Based on the morse theory, this method constructs Morse-Smale complex over the important subregions to depart the water mass automatically, and repeatedly removes a pair of critical points from the complex to realize the combination of the initial water massm. The experiment verifies the feasibility and efficiency of the method.

Key words: 3D scalar field, Morse theory, Morse-Smale complex, feature-based visualization

摘要： 针对庞大复杂的海洋数据流场，利用三维标量场的拓扑分析方法，对海洋目标水团进行提取，达到特征可视化的目的。结合Morse理论对流形构造Morse-Smale复形，实现区域内水团的自动划分，并通过删除复形上的一系列临界点对对初始水团进行合并处理。实验结果验证了该方法的可行性和高效性。

关键词: 三维标量场, Morse理论, Morse-Smale复形, 特征可视化

CLC Number: 

• TP391