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AN OCEAN FLOW VISUALIZATION METHOD BASED ON SYTHETIC FEATURES DECTION

机译:基于综合特征检测的海洋流可视化方法

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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 [6][7].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.
机译:流动可视化是科学可视化中的重要课题,多年来一直是积极研究的课题。本文提出了一种基于合成特征检测的海洋流动可视化方法。流程方法从源数据生成第一幅图像,然后使用arrow方法生成箭头图像。下一步是将所有这些图像合成的图像,最后一步是讨论流程为时间时的问题-多种多样的解决方案。涡旋是流动的重要结构。涡旋的检测和可视化一直是一个具有挑战性的话题[6] [7]。本文采用矢量场分解法检测涡旋。由此。

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