Automatic tracking and activity evaluation system of sperm motions

摘要

Sperm activity is one of the important factors affecting male reproductive capacity. Computer assisted semen analysis (CASA) has a high clinical value for judging sperm motility. In this paper, sperm-related motion parameters were obtained by image preprocessing, dynamic and static target segmentation, minimum neighborhood matching sperm motions. In addition, a complete sperm trajectory detection software has been designed by using OpenCV (Open Source Computer Vision Library) to display sperm motions intuitively and generate relevant parameters automatically. The system has important reference value for sperm activity evaluation automation.