摘要
1.引言近年来,随着图像数据的大量增加,对图像进行智能化、基于内容的处理愈来愈引起人们的极大兴趣.除了使用手工输入的关键字外(基于文本的方法),其于内容的图像检索(Content-Based Image Retrleval,CBIR)系统也使用图像的视觉特征来建立图像索引,所使用的图像低层特征包括:颜色、纹理和形状等.
Content-based image retrieval systems require the development of relevance feedback mechanism to facilitate the human-computer interaction. In this paper,we propose a grey approach to relevance feedback,where the GRA is used to describe the feature distributions of the images judged relevant by the user and dynamically updates both the similarity measure and the query in order to accurately represent the user's particular information needs. Experimental results show that the proposed approach captures the user's information needs more precisely,and improves the effectiveness of image retrieval considerably.
出处
《计算机科学》
CSCD
北大核心
2002年第1期65-68,共4页
Computer Science
基金
国家863高科技项目基金(项目编号:863一511-920-001)
关键词
图像检索
图像特征
反馈机制
图像处理
计算机
Content-based image retrieval(CBIR)
Image representation and retrieval
Relevance feedback
Grey relational analysis (GRA)