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题名: An improved fast algorithm for calculating the gradient of data field
作者: Zhong, Jia; Zou, Ziming
作者部门: 运控部/科学卫星综合运控中心
会议名称: 2017 International Conference on Computer Graphics and Digital Image Processing, CGDIP 2017
会议日期: July 2, 2017 - July 4, 2017
会议地点: Prague, Czech republic
会议录: ACM International Conference Proceeding Series
出版日期: 2017
收录类别: EI
ISBN号: 9781450352369
英文摘要: It is an important part of extracting the border in volume visualization for computing gradient feature of spatial data accurately and rapidly. The traditional method of volume visualization is to resample the data of model or observation distributing on non-uniform grids of three-dimensional Euclidean space by trilinear interpolation to uniform grids, then calculate gradient features of all grid vertex data. This paper designs an improved algorithm, based on properties of equal partial derivatives along axis after data linear interpolation, it removes a large number of repetitive calculations and redundant storage of partial derivatives, in traditional method. Finally, this paper verifies the algorithm validity with visualization experiments using the MHD simulation data to extract the magnetopause. © 2017 Copyright held by the owner/author(s).
语种: 英语
内容类型: 会议论文
URI标识: http://ir.nssc.ac.cn/handle/122/6047
Appears in Collections:运控部/科学卫星综合运控中心_会议论文

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