Tian Jin-Dong, Qiu Hui-He
Department of Mechanical Engineering, Hong Kong University of Science and Technology, Kowloon, China.
Appl Opt. 2002 Nov 10;41(32):6849-57. doi: 10.1364/ao.41.006849.
A novel method is developed to improve the accuracy of micro-resolution particle image velocimetry (PIV) in microfluidics measurements. This method utilizes the Laplacian of Gaussian method and image-processing techniques to eliminate the background scattering noise. A high signal-to-noise ratio image has been obtained. This technique is especially suitable for improving micro-resolution PIV in micro, two-, or multiphase flow conditions, such as for submicron bubbly flow measurements in a microchannel. The method can easily be implemented with minimal modification of the conventional PlV system. The results of simulation and experiments demonstrated the feasibility of this, to our knowledge, new method.
开发了一种新方法来提高微流控测量中微分辨率粒子图像测速技术（PIV）的准确性。该方法利用高斯拉普拉斯方法和图像处理技术来消除背景散射噪声。已获得高信噪比的图像。该技术特别适用于在微、两相或多相流条件下提高微分辨率PIV，例如用于微通道中亚微米气泡流的测量。该方法只需对传统的PIV系统进行最少的修改即可轻松实现。模拟和实验结果证明了据我们所知这种新方法的可行性。
