其他null检测 | 一种实现自适应相关分析的变分方法用于粒子成像测速中运动位移估算-北京欧兰科技发展有限公司

方案摘要

方案下载

应用领域	其他
检测样本	其他
检测项目
参考标准	暂无

In particle image velocimetry (PIV) a temporally separated image pair of a gas or liquid seeded with small particles is recorded and analysed in order to measure fluid flows therein. We investigate a variational approach to cross-correlation, a robust and well-established method to determine displacement vectors from the image data. A “soft” Gaussian window function replaces the usual rectangular correlation frame. We propose a criterion to adapt the window size and shape that directly formulates the goal to minimise the displacement estimation error. In order to measure motion and adapt the window shapes at the same time we combine both sub-problems into a bi-level optimisation problem and solve it via continuous multiscale methods. Experiments with synthetic and real PIV data demonstrate the ability of our approach to solve the formulated problem. Moreover window adaptation yields significantly improved results.

方案下载

配置单

自适应粒子成像测速场仪（PIV）
型号：FlowMaster®-Adaptive

¥150万 - 200万
咨询
Imager LX PIV相机
型号：Imager LX

面议
咨询

上一篇在一个双稳湍流涡旋火焰中，对间歇性动态的时间-频率定位

下一篇多层微尺度应力分析

文献贡献者

北京欧兰科技发展有限公司

金牌会员丨第17年

查看全部资料