文章基本信息

标题：An Improved PSO-FCM Algorithm for Image Segmentation
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作者：Xia Peng ; Yao Lin ; Li-Hua Zhang 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：267
期号：4
页码：1-8
DOI：10.1088/1755-1315/267/4/042081
出版社：IOP Publishing
摘要：FCM algorithm is a kind of soft clustering method widely used in image segmentation, but the algorithm is prone to fall into local minimum and sensitive to initial value. In this paper, considering the local and global optimization capabilities, an improved PSO algorithm is proposed. Image segmentation experimental results show that the improved algorithm not only can effectively avoid the local optimal value due to the manual setting of FCM initial value, but also has better accuracy and anti-noise performance than traditional FCM.