Research on the image retrieval method based on the BP neural network feedback technology

Authors:
Guo Xiaojuan;Wang Yufen;Cheng Jifu
Affiliations:
School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, Henan Province, China;School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, Henan Province, China;Library, Henan Institute of Science and Technology, Xinxiang, Henan Province, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

Citing 2
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Relevance feedback: a power tool for interactive content-based image retrieval

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Abstract

According to the retrieval algorithm of adjusting automatic the weight of multi-features, and which the algorithm exist some deficiency, like that have not the study mechanism and so on. The paper analyzed and studied in the BP neural network in the learning process, and has realized the image retrieval method based on the BP neural network relevance feedback technology. The experiment proved that this method is effective, it not only enhanced the image retrieval validity, simultaneously also to have certain study mechanism.