%0 Journal Article
%T MULTISCALE IMAGE SEGMENTATION USING FRACTAL AND NEURAL NETWORK<br>基于分形和神经网络理论的多尺度图象分割方法
%A Yang Shaoguo
%A Yin Zhongke
%A Luo Bingwei
%A <br>杨绍国
%A 尹忠科
%A 罗炳伟
%J 电子与信息学报
%D 1998
%I 
%X Clustering algorithms in feature space are important methods in image segmentation. The choice of the effective feature parameters and the construction of the clustering method are key problems encountered with clustering algorithms. In this paper, the multifrac-tal dimensions are choren as the segmentation feature parameters which are extracted from original image and wavelet-transformed image. Self-Organizing Map(SOM) network is applied to cluster the segmentation feature parameters. The experiment shows that the performance of the presented algorithm is very good.
%K Fractal
%K Wavelet transform
%K Neural network
%K Image segmentation<br>分形
%K 小波变换
%K 神经网络
%K 图象分割
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=7D043D03BEF4E1386FF967145178ED83&yid=8CAA3A429E3EA654&vid=A04140E723CB732E&iid=B31275AF3241DB2D&sid=0EE24608F5763811&eid=20D29EF591CB2C94&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=20