一种二型模糊可能性聚类红外图像分割算法  

Type-2 fuzzy possibilistic clustering algorithm for infrared image segmentation

作　　者：张玉花[1] 陈秋红[1] 

机构地区：[1]平顶山工学院计算机科学与工程系,河南平顶山467064

出　　处：《激光与红外》2009年第7期780-783,共4页Laser & Infrared

摘　　要：提出了一种新的基于二型模糊可能性聚类的红外图像分割算法。针对受概率约束的模糊聚类算法和不受概率约束的可能性聚类算法在红外图像分割时存在的问题,采用二型模糊系统融合两种分割算法的隶属度函数,将隶属度函数看作一个区间型分布,而不是单独采用两种算法输出的确定模糊值。这种处理方式不但能有效抑制噪声及野值,而且能有效防止红外图像的过分割。实验仿真结果表明,该算法较传统聚类算法能获得更好的分割效果,可有效抑制噪声对目标区域分割的干扰。A new algorithm for infrared image segmentation using type-2 fuzzy possibilistic clustering is proposed. Due to the problems of fuzzy clustering and possibilistic clustering in infrared image segmentation,the type-2 fuzzy is used to fuse the membership function of the two segmentation algorithms. The membership function is an interval distribu- tion. The determined fuzzy values which arc the output of the two algorithms are not adopted now. This processing method not only can suppress the noise and the outliers,but also can prevent the over segmentation of infrared image. The experimental results show the infrared image can be segment well by the proposed method compared with the con- ventional clustering method, and the noise and outliers are prevented to influence the segmentation of targets region.

关 键 词：图像分割 可能性聚类 模糊聚类 二型模糊 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]