%0 Journal Article
%T An Attribute Reduction Algorithm Based on Fuzzy-rough Set and It''''s Application in Medical Image Area<br>一种基于模糊粗糙集理论的算法及其在医学影像中的应用
%A WANG Xiao-feng
%A ZHOU Ming-quan
%A GENG Guo-hua
%A <br>王小凤
%A 周明全
%A 耿国华
%J 计算机应用研究
%D 2005
%I 
%X Accurate location of license plates in images plays an important role in automatic license plate recognition systems. A novel and effective method is proposed in this paper for automatic license plate location taking advantages of symmetry of the car body and employing color clustering. In this method, scene (night or day) of the image to study is first identified. For each type of scene, a specific algorithm is designed to locate the license plate in it. A double location algorithm is implemented for night images, and another one based on symmetry finding and rules regarding text related characteristics in the region of license plate for day images. Experimental results show an accuracy of 95.7% for both image scene classification and license plate location.
%K Medical Image
%K Fuzzy-rough Set
%K Information Quantity
%K Reduction of Attribute
%K Value Reduction<br>医学影像
%K 模糊粗糙集
%K 信息量
%K 属性约简
%K 值约简
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=A517A15F10A3D341&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=708DD6B15D2464E8&sid=8B59EA573021D671&eid=A1266CF37D675CF1&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12