首页> 外文期刊>Experiments in Fluids: Experimental Methods and Their Applications to Fluid Flow >New tracking algorithm of PIV and removal of spurious vectors using Delaunay tessellation
【24h】

New tracking algorithm of PIV and removal of spurious vectors using Delaunay tessellation

机译:新的PIV跟踪算法和使用Delaunay细分消除伪造矢量

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

A new algorithm of Delaunay Tessellation Particle Tracking Velocimetry (DT-PTV in abbreviation) is proposed for tracking particles in images of a PIV system by making use of the Delaunay tessellation (DT). The algorithm is tested by using numerically simulated particle images. The calculation results based on DT are compared with those obtained by a conventional algorithm of Binary Image Cross-correlation method (BICC). The new algorithm shows higher performance of obtaining more identical particles in two consecutive images correctly with shorter computation time even if the images contain many particles. A further application of DT to elimination of spurious vectors is also discussed.
机译:提出了一种新的Delaunay细分曲面跟踪测速算法(缩写为DT-PTV),它利用Delaunay细分曲面(DT)跟踪PIV系统图像中的粒子。通过使用数值模拟的粒子图像对算法进行测试。将基于DT的计算结果与通过传统的二进制图像互相关法(BICC)算法获得的结果进行比较。新算法显示了更高的性能,即使图像包含许多粒子,也可以用较短的计算时间正确地在两个连续的图像中获取更多相同的粒子。还讨论了DT在消除伪造矢量方面的进一步应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号