Since the characteristics that optical microscopic images of gynecological secre tions are very complex, an effective algorithm to detect and collect the number of lactobacillus is proposed. Firstly, the windowed Laws energy is used to ident ify the texture features of the background and other components, thus keeping th e background region with lactobacillus. Secondly, the Laws energy is utilized to pre-segment the lactobacillus, and the average gray of the pre segmentation re gions is calculated. Thirdly, with the combination of the background grey, the a ccurate segment is carried out. On the basis of the imaging characteristics of t he lactobacillus, the values of area, length width ratio and duty ratio of tar get area are extracted to remove impurities. Finally, the statistical analysis i s carried out on the number of lactobacillus. Experimental results demonstrate t hat the proposed method can effectively detect lactobacillus in complex gynecolo gical medical micrographs and offer well-analyzed results.