This paper produces an efficient technique to identify the follicles from the ultrasound ovary images. Nowadays, ultrasound imaging technique is widely used as a diagnostic instrument in the medical field. The radiologist suggests the ultrasound examination to the patient who undergoes infertility treatment in order to monitor the follicle growth inside the ovary. The radiologist examines the ultrasound images manually, to obtain the required details for diagnosis.  This can leads to error in diagnosis. In this paper, hybridization of modified Particle Swarm Optimization (PSO) with active contour is proposed. The proposed hybrid method is applied on ultrasound images of the ovaries. The proposed method detects the follicles accurately from the ovarian images.  The classification is done using the feature details, extracted from the detected follicles. The results are compared with the medical experts given results. The experimental results show the efficacy of the proposed method for ovarian images.