Abstract
The analysis of human sperm motion is useful for the diagnosis of the fertility and sterility in daily clinical practice. In this paper, an analyzing method for the human spermatozoal motility is proposed using the real-time detection of sperm motion trajectories from image sequence.
Image sequence of sperm is obtained from the video camera on the microscope with about 400 magnification. The sperm motion distance in successive two frames is less than the sperm size. So, the algorithm of trajectory extraction consists of temporal image difference and the maximum gray-level holding of each position for the observed image sequence. To connect the interrupted trajectories caused by 3D motion of sperm in the observation chamber, we designed morphological filters and obtained reliable trajectories. The detection and separation algorithms for sperm trajectory crossing are also designed.
Validity of this method is discussed on the experiment with an actual clinical image data sequence.
