计算机科学 ›› 2019, Vol. 46 ›› Issue (6A): 242-245.

• 模式识别与图像处理 • 上一篇    下一篇

基于视觉感知的二维线积分卷积矢量场可视化算法

马颖异1, 李洪平1, 郭艺峰2   

  1. 中国海洋大学信息科学与工程学院 山东 青岛2661001;
    国家海洋信息中心 天津3001712
  • 出版日期:2019-06-14 发布日期:2019-07-02
  • 通讯作者: 李洪平(1966-),男,博士,教授,博士生导师,主要研究方向为高性能并行计算,E-mail:lihp2005@yeah.net
  • 作者简介:马颖异(1983-),女,博士生,主要研究方向为流场可视化,E-mail:mayingyi2013@163.com;郭艺峰(1984-),男,硕士,主要研究方向为微服务与大数据并行计算。

Visualization of Wind Vectors Using Line Integral Convolution with Visual Perception

MA Ying-yi1, LI Hong-ping1, GUO Yi-feng2   

  1. College of Information Science & Engineering,Ocean University of China,Qingdao 266100,China1;
    National Marine Information Center,Tianjin 300171,China2
  • Online:2019-06-14 Published:2019-07-02

摘要: 在流场可视化领域,优化算法进行以及提升可视化效果一直是研究者关注的重点。近年来,也有很多评估可视化质量的研究和改进算法被提出,但是,在算法实现和质量评估的过程中往往面临流场方向的二义性以及矢量场方向和大小描述不清的问题。为了解决该问题,尝试将人类视觉感知理论应用于对流场可视化结果质量的评估以及可视化效果的提升上,并在此研究基础上利用模拟旋风数据对二维线积分卷积矢量场可视化算法进行了研究和实现。

关键词: LIC, OLIC, 风场, 流场可视化, 视觉感知

Abstract: A great deal of efforts have gone into improving the algorithm and the display of the patterns in field of flow visualization during these years.However,in the process of algorithm implementation and quality assessment,theambiguity of flow field direction and the unclear description of vector field direction and size are often encountered.In order to solve this problem,the theory of human visual perception was used to evaluate the quality of visualization results and improve the patters of flow.To put this design into practice,according to the visual perception,a display using wind vectors with line integral convolution algorithm was presented.

Key words: Flow visualization, LIC, OLIC, Visual perception, Wind field

中图分类号: 

  • TP391.41
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