基于卡尔曼滤波多目标追踪的家用精子活力检测算法研究与验证

针对传统精液分析方法存在的主观性差异、操作繁琐和不适合便携式家用检测等问题,研究并验证了一种基于卡尔曼滤波多目标追踪技术的精子活力检测系统算法. 首先,通过叠加平均法,获取静态精子数量,根据三帧差法获取运动精子质心位置；然后,使用卡尔曼多目标追踪方法绘制运动目标轨迹,再根据筛选条件获取运动精子数量；最后,综合静态与运动精子数量评价精子活力. 通过对实际采集的7组样本图像进行分析,研究结果表明：该系统所检测精子的活力值与人工检测的活力值相差较小,基本满足了家用精子活力检测的需求.

Research and validation of household sperm motility detection algorithm based on Kalman filter multi-target tracking

In order to solve the problems of subjective differences, cumbersome operation and discommodious portable household detection of traditional semen analysis methods, a sperm motility detection system algorithm was studied and verified based on Kalman filter multi-target tracking technology in this paper. Firstly, the number of static sperm was obtained through the superposition average method. The centroid position of the moving sperm was obtained according to the three frame difference method. Secondly, the Kalman multi-target tracking method was used to draw the trajectory of the moving target, obtaining the number of moving sperm according to the filtering conditions. Finally, the number of static and moving sperm was combined to yield sperm motility. Through the analysis of the actual seven groups of sample images, the results showed that the sperm motility value detected by the system was less different from that detected manually, which basically satisfied the requirement of household sperm motility detection.