%0 Journal Article
%T An Image Data FusionMethod for Image Restoration<br>一种用于图象恢复的数据融合算法研究
%A ZHANG Zhao li
%A SUN Sheng he
%A ZHAO Chun hui
%A <br>张兆礼
%A 赵春晖
%J 中国图象图形学报
%D 2001
%I 
%X Multisensor data fusion has played an important role in image processing recently. For some images from the same scene, each of them has different noise because of their different sources. This paper presents a new kind of image data fusion algorithm based on the self organizing feature map neural network. This algorithm can be performed with three steps. In the first step,the pretreatment of the images is performed by the weighted median filter in order to remove some noise. In the second stage we use self organizing feature map neural network to cluster the pixels of each image and then extend hard partition into fuzzy partition. In the third stage, we fuse the data from the last step in conformity to a certain rule. The simulation results illustrate that this new algorithm can improve the quality of the image distinctly and the pretreatment of the images can improve the fusion result efficiently.
%K Median filter
%K Self
%K organizing feature map neural network
%K Image data fusion<br>中值滤波
%K 自组织特征映射神经网络
%K 图象数据融合
%K 图象恢复
%K 图象处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=B5DC497E0D9204DE&yid=14E7EF987E4155E6&vid=B31275AF3241DB2D&iid=CA4FD0336C81A37A&sid=1D0FA33DA02ABACD&eid=0401E2DB1F51F8DE&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=9