Abstract:

Image segmentation in the analysis of sperm's motility plays an important role. Firstly,the collected sperm image sequence are carried out a preprocessing,such as graying and denoising,then the first piece of pretreated sperm image’s binarization using the Otsu algorithm and the threshold range of binarization of the subsequent images can be determined by the Kalman filter, which improves the Otsu algorithm to calculate the images’ appropriate threshold and binarization under the predicated threshold range,and reduces time. In order to get highquality segmentation images for the analysis of sperm’s motility,we apply morphology to eliminate sperm tail and part of the phenomenon of sperm adhesion,and by comparing with the area and shape factors to remove the tiny noisy particles and impurities in the sperm image.

Key words: image segmentation;kalman filter;Otsu;impurities removing