%0 Journal Article
%T Image segmentation based on improved Ant-Tree algorithm<br>基于Ant-Tree聚类算法的图像分割
%A FANG Xin
%A ZHAO Wei-dong
%A YANG Xiao-chun
%A <br>方新
%A 赵卫东
%A 杨晓春
%J 计算机应用
%D 2008
%I 
%X Image segmentation can be seen as the process of clustering the pixels with different characteristics. Considering the gray value, gratitude and neighborhood of the pixels synthetically, the Ant-Tree algorithm was introduced into image segmentation. As the resulting tree of Ant-Tree algorithm contains redundant information, an improved tree model was proposed in this paper. Besides, in order to optimize the process of clustering, a new initialization method was presented, and the method of K-means was also employed to modify the clustering center dynamically. Experiments and comparisons show that the Ant-Tree based clustering algorithm is an effective and efficient approach in image segmentation.
%K Ant-Tree algorithm
%K image segmentation
%K tree model
%K clusteing<br>Ant-Tree算法
%K 图像分割
%K 树模型
%K 聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=191A8192BB3FB173C3B39CED2656BBA9&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=94C357A881DFC066&sid=4B24DA4DB6EBAD78&eid=F5C4DB540B02644F&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6