发布时间：2015-04-08

文章标题：【学术成果】一篇第一作者文章在国际学术期刊MST上发表

内容：

Zhang Y, Wang Y, Yang B, He WB. A particle tracking velocimetry algorithm based on the Voronoi diagram. Measurement Science and Technology, 2015, 26: 075302.

Abstract: Particle tracking velocimetry (PTV) algorithms have great applications in tracking discrete particles across successive images. In managing complex flows, classic PTV algorithms typically follow delicate concepts that may lead to a higher risk of disturbance caused by the parameter settings. To avoid such a 'closure problem', a PTV algorithm based on the Voronoi diagram (VD-PTV) is developed. This algorithm has a simple structure, as it is designed to possess only one controlling parameter. The VD-PTV is tested using two types of synthetic flows. The result shows that the VD-PTV exhibits a stable performance with good accuracy level and is independent of parameter pre-setting. Moreover, the VD-PTV demonstrates satisfactory computing speed.