OPT OpenIR  > 中国科学院西安光学精密机械研究所(2010年前)
Automatic feature weight assignment based on genetic algorithm for image retrieval
Shao, Hong1,2; Zhang, Ji-Wu3,4; Cui, Wen-Cheng2; Zhao, Hong1
Conference NameIEEE International Conference on Robotics, Intelligent Systems and Signal Processing, RISSP 2003
Conference Date2003-10-08
Conference PlaceChangsha, Hunan, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank3

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.

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Document Type会议论文
Affiliation1.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
Recommended Citation
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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