AN OCEAN FLOW VISUALIZATION METHOD BASED ON SYTHETIC FEATURES DECTION

摘要：

Flow visualization is an important topic in scientific visualization and has been the subject of active research for many years.This paper presents a method for visualizing ocean flow based on synthetic features detection.By the method, we use line integral convolution (LIC) and topological flow methods to generate the first images from the source data.Then use the arrow method to generate arrow image.The next step is the images synthesized by all these images, and then the last step is to discuss the problems when the flow is time-varying and present solutions.Vortex is an important structure of flow.Vortex detected and visualized is always a challenged topic 67.Vector field decomposition is used to detect the vortex in this paper.The result animated image can be gained and more information can be seen from this.

关键词： LIC Arrow direction Topological simplification Feature extraction Vector field Vortex feature

作者: SHAN-LI MOU JUN-YU DONG SHENG-KE WANG

作者单位: Department of Computer Science, Ocean University of China, Qingdao, China 266100

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 3561-3564

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）