首页 | 本学科首页   官方微博 | 高级检索  
     

基于特征元素和关联规则的图象分类方法
引用本文:李勍,章毓晋.基于特征元素和关联规则的图象分类方法[J].电子学报,2002,30(9):1262-1265.
作者姓名:李勍  章毓晋
作者单位:清华大学电子工程系,北京100084
基金项目:国家自然科学基金(No.60172025)
摘    要:图象分类是搜索引擎中的重要模块.本文提出了一种基于特征元素的图象分类方法.特征元素与特征向量相比能够根据人的主观感知来提取图象的视觉特征.与传统的基于特征向量的图象分类方法不同,本文提出的图象分类方法不计算特征空间中特征向量之间的距离,而是通过关联规则挖掘发现图象的特征元素与图象所属类别之间的联系.本文实现了该分类算法并将其与一种基于特征向量的图象分类方法NFL相比较.实验的结果证实了所提方法的优越性.

关 键 词:图象分类  特征元素  关联规则挖掘  特征向量  
文章编号:0372-2112(2002)09-1262-04

Image Classification Based on Feature Element and Association-Rule
LI Qing,ZHANG Yu-jin.Image Classification Based on Feature Element and Association-Rule[J].Acta Electronica Sinica,2002,30(9):1262-1265.
Authors:LI Qing  ZHANG Yu-jin
Affiliation:Department of Electronic Engineering,Tsinghua University,Beijing 100084,China
Abstract:With the growth of Internet and storage capability in recent years, image has become a widespread information format in World Wide Web. However, it has become increasingly difficult to search for images of interest, So effective image search engine for the WWW needs to be developed.Image classification is an important module in image search engine.In this paper a novel approach for image classification based on feature element is proposed. Compared with feature vectors, feature elements can capture visual meanings of the image according to subjective perception of human beings. By using feature element, our approach for image classification is totally different with traditional image classification method. It does not calculate the distance between two vectors in the feature space, while trying to find associations between feature element and class attribute of the image. After the implementation, we have compared it with NFL a traditional image classification algorithm based on feature vector.Some improved results are presented.
Keywords:image classification  feature element  association rule mining  feature vector
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《电子学报》浏览原始摘要信息
点击此处可从《电子学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号