三维流场特征描述语言与交互式可视化

Fuzzy-based Description and Interactive Extraction of Features in 3D Flows

基于特征的可视化可以简化流场显示、突出流场数据关键特征,主要应用于处理复杂流场。传统的基于特征的可视化方法多为自动的提取方法,无法有效结合研究人员的知识与经验,也难以满足研究人员的交互需求。在关注提取算法交互性的同时,考虑复杂流场特征区域精确界定的困难,提出了一种交互式模糊特征描述语言FFDL与改进的交互模糊特征提取算法,实现了对典型流场特征的灵活描述与交互式提取。首先根据模糊理论对三维流场特征进行描述得到模糊描述模型,然后介绍了FFDL的语法规范和语义框架,并给出了基于FFDL的交互式模糊特征提取算法和实现。最后基于已有的流场可视化系统,利用来自不同领域的多个实际数据验证了交互式模糊特征提取算法的有效性和实用性。

Feature-based visualization plays an important role in simplifying visualization of complicated flows and highlighting the key features. Traditional feature-based visualization methods usually employ the （semi-）automatic techniques without making use of the knowledge and the experience of the researchers. To achieve interactive feature description and extraction, an interactive fuzzy feature description language （FFDL） was proposed and an interactive fuzzy feature extraction algorithm was proposed. At first, a model was built to describe the flow features with the fuzzy theory. Secondly, an algorithm was implemented based on the syntax standard and the semantic framework of FFDL illuminated in detail. A flow visualization system with the application of the interactive fuzzy feature extraction was developed. The experiments with datasets from different domain show that the method can not only make use of the ability of the researchers to extract the features of the data, but also visualize the uncertainty nature of the data.