Automatic feature weight assignment based on genetic algorithm for image retrieval
Shao, Hong1,2; Zhang, Ji-Wu3,4; Cui, Wen-Cheng2; Zhao, Hong1
2003
会议名称IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, RISSP 2003
卷号2003-October
页码731-735
会议日期2003-10-08
会议地点Changsha, Hunan, China
出版者Institute of Electrical and Electronics Engineers Inc.
产权排序3
摘要

Integrating multiple features content-based image retrieval can overcome the problems of single feature, but how to organize these features and feature representation methods is difficult in image retrieval. In this paper, an automatic feature weight assignment approach based on genetic algorithm is proposed. The problem of weight assignment is firstly changed into optimization problem, and genetic algorithm is used for finding the optimization weight in order to get the best retrieval results. The experimental results show that the recall and precision of this proposed approach is better than the others' weight assignment methods. This approach is robust to various kinds of features and feature representation methods, and it can get the best feature combination for image retrieval. © 2003 IEEE.

作者部门中国科学院西安光学精密机械研究所(2010年前)
DOI10.1109/RISSP.2003.1285675
收录类别EI
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30345
专题中国科学院西安光学精密机械研究所(2010年前)
作者单位1.Software Center, Northeastern University, Shenyang; 110179, China
2.School of Information Science and Engineering, Shenyang University of Technology, Shenyang; 110023, China
3.Xi'an Institute of Optics and Precision Mechanics, Sinic Academy of Science, Xi'an; 710068, China
4.Computer Application Technology Institute, Northeastern University, Shenyang; 110006, China
推荐引用方式
GB/T 7714
Shao, Hong,Zhang, Ji-Wu,Cui, Wen-Cheng,et al. Automatic feature weight assignment based on genetic algorithm for image retrieval[C]:Institute of Electrical and Electronics Engineers Inc.,2003:731-735.
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