Image Retrieval Algorithm Based on Feature Fusion and Bidirectional Image Matching

DOI

10.2991/nceece-15.2016.295How to use a DOI?

Keywords

Multiple feature fusion; Bidirectional matching; Color histogram; SIFT

Abstract

According to the low accuracy of single feature-based image retrieval algorithm, the paper proposes a strategy which fuses the SIFT and the color feature, to obtain a kind of relatively simple and accurate retrieval approach. To accelerate the retrieval process and improve the efficiency, the paper adopts the image feature-based hierarchical retrieval method. The RGB col-or feature is the first layers of retrieval feature, presented by the color histogram. SIFT is the second layer of retrieval feature. Meanwhile, for the SIFT retrieval process, by using the bidirectional matching strategy, the improvement of the image retrieval precision is expected. Experiment results show that both the retrieval rate and accuracy are efficiently improved.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kaixuan Ji
AU  - Chuan Guo
AU  - Shengfu Zou
AU  - Yang Gao
AU  - Hongwei Zhao
PY  - 2015/12
DA  - 2015/12
TI  - Image Retrieval Algorithm Based on Feature Fusion and Bidirectional Image Matching
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1634
EP  - 1639
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.295
DO  - 10.2991/nceece-15.2016.295
ID  - Ji2015/12
ER  -