关键词: 涡旋识别, 非结构化矢量场, 混合网格, 模板匹配, Clifford卷积

Abstract: Having done the comparative analysis of the several existing vortex detection algorithms, pattern matching algorithm based on Clifford convolution was studied with emphasis. Considering the irregularity of the data sets obtained by the actual computation, an improved method was proposed for the pattern matching algorithm based on Clifford convolution. Irregular data sets were divided by the hybrid grid and the pattern was scaled according to the cells surrounding grid point. In computation process, the 1-neighborhood of pattern was sampled. The result show that this algorithm can more accurately detect and visualize the vortices of flow field preconditioned with similar algorithm efficiency.

Key words: vortex detection, unstructured vector field, hybrid grid, pattern matching, Clifford convolution