基于HTML文档的WEB图像分类研究

随着信息技术的快速发展和Internet的普及应用，Internet已经成为包含各种信息形式，如文本、图像、视频、音频等的巨大信息资源库。然而由于Web图像从主题、格式，到功能和来源都多种多样，很难用一个统一的标准进行分类。本研究首先从Web页面上图像的功能角度对图像进行初步分类，将其分为链接类、装饰类、广告类和内容类。初步分类可提高Web图像处理的效率和性能，并为它基于Web的应用与研究提供帮助。

Research on classification of image on the Web based on Html

With the fast development of information technology and broad application of Internet technology,Internet has become a hug information bank,which includes many kinds of information such as text,image,video,audio,etc.However,the topic,format,function and source of image on the Web have variety.it is very difficult to classify images by a unified standard or frame.This paper classifies image as four following preliminary classes based on functionality : link,decoration,advertisement and content.The preliminary classification can improve the performance and efficiency of image process and can also provide some useful help for other research and application based on Web.