%0 Journal Article
%T Image spam classification model based on color and edge histogram statistics<br>基于颜色和边缘特征直方图的图像型垃圾邮件分类模型*
%A LIU Qiao
%A QIN Zhi-guang
%A CHENG Hong-rong
%A QIAN Wei-zhong
%A <br>刘峤
%A 秦志光
%A 程红蓉
%A 钱伟中
%J 计算机应用研究
%D 2010
%I 
%X This paper presented a novel approach for image spam classification task, which did not rely on text information contained in the images, but made use of the color and edge features that could be extracted from image files directly to construct the statistical model for pattern classification. Experimental results on real public datasets demonstrate good performance of the proposed model. Since the approach is immune to content obscuring techniques, it offers a promising alternative for practical application.
%K image recognition
%K color histogram
%K edge histogram
%K image spam classification<br>图像识别
%K 颜色直方图
%K 边缘特征
%K 图像型垃圾邮件分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=231809805AF3140E43A85D7C98CCB769&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=A4CA59572D689648&eid=960FAAFDFF4DC10B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=10