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一种基于内容的广告垃圾图像过滤方法
引用本文:许洋洋,袁华. 一种基于内容的广告垃圾图像过滤方法[J]. 山东大学学报(理学版), 2006, 41(3): 37-41
作者姓名:许洋洋  袁华
作者单位:华南理工大学,广东省计算机网络重点实验室,广东,广州,510640;华南理工大学,广东省计算机网络重点实验室,广东,广州,510640
摘    要:垃圾邮件制造者为了躲避基于文本的垃圾邮件过滤器的过滤,常常将文字嵌入到图像中,产生了大量的广告垃圾图像.为解决这一问题,提出了基于图像内容的垃圾图像过滤方法.首先提取出图像中的文字区域,再利用广告垃圾图像中的文字区域特征进行广告垃圾图像过滤.实验结果表明利用文字区域特征过滤广告垃圾图像是行之有效的.

关 键 词:文字区域提取  广告垃圾图像  基于内容的图像过滤
文章编号:1671-9352(2006)03-0073-06
收稿时间:2006-03-29
修稿时间:2006-03-29

The advertisement spam image filtering method based on image content
XU Yang-yang,YUAN Hua. The advertisement spam image filtering method based on image content[J]. Journal of Shandong University, 2006, 41(3): 37-41
Authors:XU Yang-yang  YUAN Hua
Affiliation:Guangdong Computer Network Key Laboratory in South China University of Technology, Guangzhou 510640, Guangdong, China
Abstract:In recent years, the problem of spare e-mail becomes more and more serious. To shield from the text-based spare filters, the ,senders of spare embed text into image and then more and more spam images appear in e-mails, To solve this problem, the advertisemem, spam image filtering method based on image content is brought forward. Firstly, the text areas are extracted from the image, and then the features of these text areas are used to filter the spare images. The result of the experiment shows that the method is effective.
Keywords:extracting the text area   advertisement spam image   the image filtering based on image content
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