文献类型：期刊文献

英文题名：A Fuzzy Clustering Algorithm Based on the Splitting and Lumping Method for Image Segmentation

作者：Liu, Wenping[1];Hung, Chih-Cheng[2];Chen, Shihong[3];Cui, Tianyi

第一作者：Liu, Wenping

通讯作者：Liu, WP[1]

机构：[1]Beijing Forestry Univ, Sch Informat, Dept Digital Media, Beijing 100083, Peoples R China;[2]So Polytech State Univ, Sch Comp & Software Engn USA, Marietta, GA 30060 USA;[3]Beijing Union Univ, Coll Arts & Sci, Beijing, Peoples R China

第一机构：Beijing Forestry Univ, Sch Informat, Dept Digital Media, Beijing 100083, Peoples R China

通讯机构：[1]corresponding author), Beijing Forestry Univ, Sch Informat, Dept Digital Media, 35 Tsinghua Rd, Beijing 100083, Peoples R China.

年份：2012

卷号：15

期号：8

起止页码：3499-3509

外文期刊名：INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL

收录：;Scopus(收录号：2-s2.0-84864377385);WOS:【SCI-EXPANDED(收录号:WOS:000307912700028)】；

基金：This research was supported by supported by "the Fundamental Research Funds for the Central Universities (No.YX2011-28)" and National Basic Research Program of China (No.2009CB421105).

语种：英文

外文关键词：Image Segmentation; Pixels Clustering; Fuzzy C-Means; Splitting and Lumping

摘要：This paper proposes an adaptive fuzzy clustering algorithm (A-FCM), which integrates the fuzzy concept from the fuzzy C-Means algorithm (FCM) with the mechanism of splitting and lumping from the ISODATA. The proposed algorithm provides an adaptive capability for image segmentation. In other words, unlike the FCM, the number of clusters need not be known a priori in the proposed algorithm. Experimental results demonstrate that the A-FCM has better performance than those of the Possibilistic C-Means, ISODATA, and FCM algorithms.