%0 Journal Article
%T A Segmentation Algorithm for Defocused ImagesUsing Multi resolution and Fuzzy Clustering<br>一种基于多分辨率与模糊聚类技术的散焦图像分割算法
%A MA Li
%A HUANG Min
%A MA Li
%A HUANG Min
%A <br>马莉
%A 黄敏
%J 中国图象图形学报
%D 2005
%I 
%X The object segmentation of defocused images with projected illumination patterns is a primary component of 3D object recovery. A segmentation algorithm, which combines multi resolution analysis and fuzzy clustering, is proposed based on features extracted from defocused images with illumination patterns to increase the segmentation accuracy. This approach is carried out through two stages: firstly building the relational matrix of multi resolution images on their similarity measures and then implementing FCM classification at lower resolution level. The proposed technique provides a novel way of avoiding the difficulties of direct segmentation. And it increases the accuracy of object segmentation. It is shown in experiments that the proposed algorithm is of effectiveness.
%K image segmentation
%K multi
%K resolution
%K fuzzy clustering
%K depth from defocus<br>多分辨率分析
%K 图像分割算法
%K 模糊聚类
%K 区域分割
%K 像素
%K 图像特征
%K 特征向量
%K 光栅
%K 技术融合
%K 多级
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=AA5A4E2EDB009C19&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=38B194292C032A66&sid=211C7E02AC474301&eid=E39A3F4E3A67639B&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=5&reference_num=7