计算机工程与应用2018，Vol.54Issue(12)：264-270,7.DOI:10.3778/j.issn.1002-8331.1612-0424
基于聚类的流面自动布局及生成算法
Automatic stream surface seeding and constructing algorithm based on clustering
摘要
Abstract
Surface-based visualization is an important branch of scientific visualization, and plays an important role in the field of aerospace. However, classical methods of stream-surface visualization require users to place seed lines manually, which means that seed lines are difficult to be placed at interesting domain of flow data. A novel method which can place stream-surfaces automatically is presented in this paper. Firstly, the flow field is partitioned according to the similarity of the velocity gradient, curvature and position. Then one seed line is placed in each partition which starts from the center of the partition and grows along the direction of the velocity curvature until it arrives the boundary of its partition. Finally, stream-surfaces are constructed with the advancing front method starting from each seed line with Hermite interpolation. The experiment has shown that stream surfaces constructed automatically through this method can present main flow structures in most cases. The generated seed lines can also be taken as reference when users want to place seed lines manu-ally for more detailed representation.关键词
流场数据聚类/流面/K-means/科学可视化Key words
clustering of flow data/stream surface/K-means/scientific visualization分类
信息技术与安全科学引用本文复制引用
唐烨,解利军,桂立业,何丽莎,郑耀..基于聚类的流面自动布局及生成算法[J].计算机工程与应用,2018,54(12):264-270,7.基金项目
国家自然科学基金(No.11272285) （No.11272285）
浙江省自然科学基金(No.LY17F020016). （No.LY17F020016）
