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粒子图像测速技术中的自适应选窗技术
An Adaptive Window-Selecting Method for Particle Image Velocimetry
【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.
【Abstract】 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.
【Key words】 image measurement; particle image velocimetry (PIV); cross-correlation algorithm; velocity measurement; auto-adaptive; standard covariance correlation;
- 【文献出处】 计算机辅助设计与图形学学报 ,Journal of Computer-Aided Design & Computer Graphics , 编辑部邮箱 ,2007年03期
- 【分类号】O353
- 【被引频次】9
- 【下载频次】320