陆振宇,夏志巍,卢亚敏,黄现云

• 1:南京信息工程大学电子与信息学院
• 2:江苏省大气环境与装备技术协同创新中心

摘要(Abstract)：

针对模糊C均值聚类(FCM)算法在分割图像时需要事先给出聚类数和容易陷入局部极小值的问题,提出一种新的FCM算法。首先,利用粒子群算法更新FCM的聚类中心,以加强算法的搜索能力,提高收敛速度;其次,根据模拟退火准则决定是否接受新的聚类中心,以得到当前迭代下的全局最优值;最后,设定有效性函数寻找图像的最佳聚类数,使算法具有自适应判断图像类别个数的能力。实验结果表明,该算法具有较好的全局收敛性,并且在未知聚类数的情况下能自适应寻找图像的最佳分类个数。

关键词(KeyWords)： 自适应图像分割;模拟退火算法;粒子群算法;模糊C均值;聚类中心;全局最优

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金面上项目(61473334)~~

作者(Author): 陆振宇,夏志巍,卢亚敏,黄现云

DOI: 10.16652/j.issn.1004-373x.2018.07.010

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