引用本文: | 吴晓莉,史美萍,贺汉根.基于特征提取的三维流线分布算法.[J].国防科技大学学报,2008,30(2):102-106.[点击复制] |
WU Xiaoli,SHI Meiping,HE Hangen.Feature Extracting Based 3D Streamline Placement Algorithm[J].Journal of National University of Defense Technology,2008,30(2):102-106[点击复制] |
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基于特征提取的三维流线分布算法 |
吴晓莉, 史美萍, 贺汉根 |
(国防科技大学 机电工程与自动化学院,湖南 长沙 410073)
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摘要: |
特征提取与清晰表达是三维流场可视化研究中的两个主要问题。提出了一种基于特征提取的三维流线分布算法,既保障了流场临界点附近的特征结构得以正确描述,同时又使输出结果具有良好的清晰性。该算法分为三个步骤:首先,在临界点的快速检测基础上,根据临界点处Jacobian矩阵特征值对临界点进行分类,并对临界点与种子点模板进行匹配;其次,种子点依照优先规则排序,并从这些种子点出发在物理空间计算出流线;最后,在图像空间由预先设置的阈值对流线进行间距控制,并根据深度检测来保留离视点最近的流线,使得屏幕上的输出结果清晰。 |
关键词: 流场可视化 流线分布 临界点检测 种子点模板 |
DOI: |
投稿日期:2007-09-03 |
基金项目:国家863高技术资助项目(2002AA742062) |
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Feature Extracting Based 3D Streamline Placement Algorithm |
WU Xiaoli, SHI Meiping, HE Hangen |
(College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China)
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Abstract: |
Feature extraction and clarity expression are two main problems in 3D flow visualization research. To solve these problems, a feature extracting based 3D streamline placement algorithm is presented. The algorithm ensures that the feature structures around the critical points can be described correctly, and the output result shares good clarity. The algorithm is comprised of three processes. Firstly, based on the fast detection of critical points, the critical points are classified according to the eigenvalues of their Jacobian Matirx,and the match between the critical points and the seed templates is performed. Secondly, the seeds points are ordered in priority, and streamlines are generated in physical space. Finally, in image space, the distance between streamlines is controlled by the preset threshold value, and the nearest streamline to the observer is held according to the depth detection, thus the display clarity is ensured. |
Keywords: flow visualization streamline placement critical points detection seed points template |
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