使用高效的c均值聚类算法的图象阈值化方法  

THRESHOLDING OF IMAGES USING AN EFFICIENT c-MEAN CLUSTERING ALGORITHM

作　　者：刘健庄[1] 涂予青 

机构地区：[1]西安电子科技大学,西安710071

出　　处：《电子科学学刊》1992年第4期424-427,共4页

摘　　要：Otsu(1979)的阈值化法被认为是一种良好的图象分割方法。本文提出一个适合图象分割的高效的c均值聚类算法。它与Otsu法有完全相同的分割结果,但计算时间约减少了一个数量级。Otsu's method (1979) is considered as a good thresholding method for image segmentation. In this paper, an efficient c-mean calustring algorithm which is suitable for image segmentation is proposed. It yields th came results as Otsu's method, but its computational time is about one order of magnitude less than that of Otsu's method.

关 键 词：图象 分割 阈值比 c均值 聚类算法 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]