关键词：模糊聚类;语义色彩;语义树;颜色提取;电子信息
摘 要：Fuzzy clustering algorithms have been widely used for image segmentation,typically such as FCM algorithm.However,the FCM algorithm is parameter sensitive,and its results lack of availability.To improve the above problems,a novel fuzzy clustering method based on semantic color tree for image segmentation is proposed in this paper.The method is realized by modifying the membership function in the conventional FCM algorithm and by constructing the semantic color tree to achieve the semantic color extraction,which take human visual subjectivity into account in semantics.The proposed method is applied to real images.Experimental results show that the presented algorithm performs more effectively than the FCM algorithm.