关键词: 医学超声图像, 图像分割, 模糊聚类, 遗传算法

Abstract: Medical ultrasound imaging is widely used in medical diagnosis and treatment due to its characteristic of real-time，noninvasiveness and cheapness.However，the segmentation from medical ultrasound image is a difficult problem because of its intrinsic speckle noises and the tissue-related textures.Compared to other image segmentation methods，the Fuzzy C-means clustering algorithm（FCM） can fulfill the medical ultrasound image segmentation better，but it can easily be trapped in local optima due to its stochastic initialization of the clustering center.In this paper，a method of fuzzy clustering based on Genetic Algorithm（GA） is proposed and its robustness is more better because GA can obtain the global initialization of the clustering center.Experimental results show that the method can perform the segmentation from medical ultrasound images better.

Key words: medical ultrasound image, image segmentation, fuzzy clustering, genetic algorithm