作　　者： ; ; ; ;

机构地区： 重庆大学生物医学工程联合学院

出　　处： 《重庆大学学报（自然科学版）》 2013年第12期43-50,共8页

摘　　要： 介绍一种基于图像处理的方法,解决微管中流体运动状况的精确检测问题。处理过程:通过视频录像等方法获取目标运动的序列图片,根据帧图片之间差异定位运动目标轨迹区域,然后采用帧差法处理得到运动轨迹图像,将轨迹图像裁剪出,以减少后面处理运算量;将所得图像进行亮度变换、数次开闭运算等,进行运动轨迹图像边缘平滑和背景噪声消除,利用边界跟踪法标定运动轨迹边缘,最后霍夫变换方法检测到运动直线,求得运动长度,结合流动时间可求出目标的运动速度,进而获取流体剪切力、流体粘度等数据。结合微流控芯片流动状况测量,阐述了该方法测量的精确性、可重复性及广泛应用性。 A method to detect the fluid motion in microfluidic chip with imagery processing technology is introduced,which solves the problem that the fluid motion can＇t be detected with common method. Firstly, with the fact that in flow process the brightness change is the biggest in the edge of tiny tube, the motion trail can be collected with frame difference method. Then this destination area is cropped to further reduce the amount of calculation in later steps. Secondly, repeat several times of open operation and close operation to obtain the images, which has smooth boundary and barely background noise. Thirdly, find all edge pixels of this motion trail image through boundary tracking algorithm and then obtain the motion trail lines with the Hough transform detection approach. At last,with the lines＇ length and the motion time,the flow rate can be calculated easily. Furthermore, some characteristics of the flow can also be obtained, such as the shear stress and the viscosity of the fluid. This paper explicitly states this method process combining with a chip that use for viscosity measurement. And the results have high accuracy and good repeatability,which is demonstrated by the data that standard deviation is less than 0. 7 and the precision is less than 1/100.

关 键 词： 图像处理 微流控技术 运动检测 粘度测量 剪应力

领　　域： [自动化与计算机技术] [自动化与计算机技术]