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基于内容的图像特征相关性检索方法
引用本文:夏定元,周曼丽,向政权,许毅平.基于内容的图像特征相关性检索方法[J].华中科技大学学报(自然科学版),2002,30(3):97-99.
作者姓名:夏定元  周曼丽  向政权  许毅平
作者单位:1. 华中科技大学电子与信息工程系,430074
2. 桂林电子工业学院通信与信息工程系
基金项目:广西壮族自治区自然科学基金资助项目 (0 0 0 70 12 )
摘    要:针对目前基于内容的图像检索系统在模型优化及通用性设计等方面的局限性,以图像单一特征描述和提取方法为基础,根据人机交互的相关反馈原理,分析图像组合特征归一化权值系数,提出一套图像特征相关性检索新方案,并在着重对基于内容的图像特征相关性检索算法研究基础上,参照国际标准MPEG-7所提供的通用性系统设计规范,对新方案下的图像检索通用模型进行概念设计,为解决基于内容的图像检索技术在Internet上实用化的瓶颈问题,提供一条新的思路,实验结果验证了新方案的合理性。

关 键 词:相关性检索  内容图像检索  图像特征  相关反馈  特征提取  特征检索
文章编号:1671-4512(2002)03-0097-03
修稿时间:2001年10月19

Relevance retrieval scheme of image features in content-based image retrieval systems
Xia Dingyuan Zhou Manli Xiang Zhengquan Xu Yiping Assoc. Prof., Dept. of Electronics & Information Eng.,Huazhong Univ. of Sci. & Tech.,Wuhan ,China..Relevance retrieval scheme of image features in content-based image retrieval systems[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2002,30(3):97-99.
Authors:Xia Dingyuan Zhou Manli Xiang Zhengquan Xu Yiping Assoc Prof  Dept of Electronics & Information Eng  Huazhong Univ of Sci & Tech  Wuhan  China
Institution:Xia Dingyuan Zhou Manli Xiang Zhengquan Xu Yiping Assoc. Prof., Dept. of Electronics & Information Eng.,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China.
Abstract:Aimed at the defects existed in content based image retrieval systems for optimization model and generalization design, a new scheme on relevance retrieval of image features in the systems is provided. Based on the method of describing and extracting single feature of image, the scheme analyzes unitary weight coefficient of assorted features of image and adopts interactive relevance feedback principle between man and computer. Under the research of relevance retrieval algorithm for image features and referring to the universal systems design norm provided in the MPEG 7, a conceptual design for optimizing the universal images retrieval model in the scheme is implemented. It provides a new idea for resolving the bottleneck problem: the practicability of content based image retrieval techniques on Internet. The rationality of the new scheme is validated by experimental results.
Keywords:content  based image retrieval  image features  relevance feedback
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