基于自适应模糊加权指数的FCM聚类测量图像分割方法  

A FCM Segmentation Method of Measurement of Image Based on Adaptive Coefficient of Fuzzy Weight

作　　者：李晓冰[1] 

机构地区：[1]92941部队

出　　处：《红外技术》2013年第3期146-149,共4页Infrared Technology

摘　　要：针对采用FCM聚类进行测量图像分割时,模糊加权指数难以确定的问题,通过分析FCM聚类原理,依据测量图像分割的具体要求,根据加权指数对不同模糊聚类过程的作用程度,提出了一种基于自适应模糊加权指数的FCM聚类测量图像分割方法。实验结果表明:该算法可以减少聚类迭代次数,确保分类的准确性,提高图像分割质量。Aiming at the difficulty to confirm the coefficient of fuzzy weight when segmentation measurement image by FCM method, this paper analyses the theory of FCM. According to the requests of measurement image segmentation and the effect of the coefficient of fuzzy weight, a FCM segmentation method for measurement of image based on the adaptive coefficient of fuzzy weight is proposed. Experiment results show that this method can reduce the times of the iteration, insure the veracity and improve the quality of the segmentation.

关 键 词：图像分割 FCM聚类 模糊加权指数 收敛速度 测量图像 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]