流线增强型线性积分卷积流场可视化

doi:10.16182/j.issn1004731x.joss.201612008

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (12): 2933-2938.doi: 10.16182/j.issn1004731x.joss.201612008

流线增强型线性积分卷积流场可视化

韩敏, 张海超, 边茂松, 郑丹晨

大连理工大学电子信息与电气工程学部,辽宁大连 116023

收稿日期:2015-04-13 修回日期:2015-07-09 出版日期:2016-12-08 发布日期:2020-08-13
作者简介:韩敏(1959-),女,朝鲜族,吉林延吉,博士,教授,研究方向为三维可视化,复杂系统建模与时间序列预测;张海超(1989-),男,河北唐山,硕士,研究方向为河流流场可视化;边茂松(1990-),男,山东兖州,硕士,研究方向为流域三维可视化。
基金资助:
国家重点基础研究计划(2013CB430403)

Flow Visualization Based on Enhanced Streamline Line Integral Convolution

Han Min, Zhang Haichao, Bian Maosong, Zheng Danchen

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116023

Received:2015-04-13 Revised:2015-07-09 Online:2016-12-08 Published:2020-08-13

摘要/Abstract

摘要： 为全面清晰地展示出流场信息,减小线性积分卷积的计算量,提出一种流线增强型线性积分卷积方法。改进算法中流线生成部分：检测临界点位置并绘制渐变临界点区域,根据积分点所在区域结合不同的积分方法,并自适应更新积分步长。利用GPU的并行能力及使用GLSL (OpenGL Shading Language),进一步增加输出图像的清晰度。仿真结果表明,该算法能够提高渲染速度同时保持可视化结果的清晰度,并利用改进的线性积分卷积方法对河流以及旋风流场进行可视化,以图像形式直观形象地展示流场分布信息。

关键词: 流场可视化, 线性积分卷积, 临界点检测, GPU

Abstract: In order to show the flow information clearly and reduce the calculation of linear integral convolution, an enhanced streamline linear integral convolution algorithm was proposed. The generation of streamlines were improved. Critical points were detected and the points’ area with a gradient fill was generated. Combined two integration methods in different areas, the integration step was updated adaptively. Utilizing the parallelism of GPU and GLSL (OpenGL shading language), the algorithm further improved the sharpness of the output image. Experiments show that the improved linear integral convolution algorithm posses both the speedability and the precision. And the flow visualization of the river and hurricane with this improved method can show the flow field information intuitively.

Key words: flow field visualization, line integral convolution, critical points detection, GPU

中图分类号:

TP391

韩敏, 张海超, 边茂松, 郑丹晨. 流线增强型线性积分卷积流场可视化[J]. 系统仿真学报, 2016, 28(12): 2933-2938.

Han Min, Zhang Haichao, Bian Maosong, Zheng Danchen. Flow Visualization Based on Enhanced Streamline Line Integral Convolution[J]. Journal of System Simulation, 2016, 28(12): 2933-2938.

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流线增强型线性积分卷积流场可视化

Flow Visualization Based on Enhanced Streamline Line Integral Convolution

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