%0 Journal Article
%T Text Segmentation Using Color and Strobe Features<br>基于颜色和笔画特征的文本分割算法
%A HUANG Bai-gang
%A LI Jun-shan
%A HU Shuang-yan
%A <br>黄百钢
%A 李俊山
%A 胡双演
%J 计算机科学
%D 2009
%I 
%X A novel text segmentation approach based on unsupervised clustering using color and stroke features was presented.Firstly,the possible text and background color is estimated on the enhanced text line image by color reduction and histogram calculation.Then color and stroke features were extracted and text and background pixels are determined by K-mean clustering algorithm.At last,segmentation result is optimized by post-processing.The performance of our approach is demonstrated by experimental results for a ...
%K Text segmentation
%K Stroke feature
%K Unsupervised classification
%K Text color<br>文本分割
%K 笔画特征
%K 无监督聚类
%K 文本颜色
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=6CC4564AE74DE27D6E6DC5736DDBE870&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=DF92D298D3FF1E6E&sid=8BB50A069C48D50B&eid=E39A3F4E3A67639B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10