摘要
针对粒子测速系统固定窗口分析对复杂流场适应能力较低的问题,提出了一种改进的处理方法:利用加权平均的方法对后续图像的预测处理,根据窗口内数据的相关程度与粒子分布浓度来对分析窗进行迭代选择.最后,利用标准粒子图像对该方法进行了仿真验证,证明了其可靠性与实用性.
The interrogation window was adopted with the same size in the particle image velocimetry （PIV）, which was only suitable for steady fluid field and with large errors. A modified method for general field was proposed in this paper. The current result was averaged as the estimation of next process. The size of the interrogation window was selected iteratively according to the correlation degree and the distributing thickness. At last, the standard particle images, were tested and the errors were analyzed. The experimental results demonstrate the effectiveness and practicability of the proposed method.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2007年第3期356-360,共5页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(50379002)
关键词
图像测量
粒子图像测速
互相关分析
流场测速
自适应
标准化协方差相关
image measurement
particle image velocimetry （PIV）
cross-correlation algorithm
velocity measurement
auto-adaptive
standard covariance correlation
