基于LK光流法的微流控芯片中流体速度检测  

Fluid speed detection in microfluidic chip based on LK optical flow method

作　　者：林宇凌 金晓宏[1] 王中任 LIN Yu-ling;JIN Xiao-hong;WANG Zhong-ren(School of Mechanical Automation,Wuhan University of Science and Technology,Wuhan 430081,China;School of Mechanical Engineering,Hubei University of Arts and Science,Xiangyang 441053,China)

机构地区：[1]武汉科技大学机械自动化学院,湖北武汉430081 [2]湖北文理学院机械工程学院,湖北襄阳441053

出　　处：《激光与红外》2020年第8期1014-1019,共6页Laser & Infrared

基　　金：“机电汽车”湖北省优势特色学科群开放项目(No.XKQ2019006)资助。

摘　　要：为促进微流控技术相关领域的发展,针对目前微流控技术不能有效地检测流体在微通道的运动状态地问题,提出了一种基于LK光流法的检测技术,能有效地检测微流控芯片中流体的细微运动。实现过程为:通过在实时视频序列中捕获所需要的图像帧,选择ROI区域并对图像进行灰度化及高斯滤波平滑,然后划分网格使用LK光流法计算光流场,通过阈值分割筛选掉独立的光流矢量,最后将所剩的光流矢量转换为行列两个实值图像并求解出其像素距离,结合图像帧之间的时间差求出目标的运动速度。实验结果表明:像素速度标准差σ<1,具有可重复性;该方法能实时跟踪运动的液体,精度高、效率高,是一种非常可靠的检测方法。In order to accelerate the development of microfluidic technology,it is more and more urgent to detect the motion state of fluid in microchannel in real time and accurately.Aimed at the problem that current microfluidic technology cannot effectively solve,a real-time tracking algorithm based on LK optical flow method was proposed,which can effectively detect the subtle movement of fluid in microfluidic.Firstly,captured the required image frames in the real-time video sequence,selected the ROI area and grayscale the image,the image was filtered by Gaussian.Then divided the grid and calculated the optical flow field with LK optical flow method,the independent optical flow vectors were filtered by threshold segmentation.Finally,the remaining optical flow vector was converted into two real value images and the pixel distance was calculated,the motion speed of the target can be calculated by the time difference between the image frames.The experimental results show that standard deviation of the measured velocityσ<1.The method can track the moving liquid in real time with high accuracy and efficiency.

关 键 词：LK光流法 微流控技术 速度检测 

分 类 号：TN247[电子电信—物理电子学] TP391[自动化与计算机技术—计算机应用技术]