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Content-Based Image Retrieval Based on Quantum-Behaved Particle Swarm Optimization Algorithm

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Advances in Swarm Intelligence (ICSI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9712))

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Abstract

The performance of content-based image retrieval (CBIR) is usually limited since only single visual feature and single similarity measurement are used. In order to solve this problem, the color and texture visual features of an image are analyzed firstly. And then 12 kinds of similarity measurement are used to evaluate similarity between the image being checked and the images in the retrieval library. The CBIR problem is therefore transferred to an optimization problem with the precision ratio as its objective function. Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is used to solve the CBIR optimization problem in order to find the optimal weight and the optimal combination of visual features and similarity measurements. Experimental results show that the proposed method based on QPSO algorithm has better performance on the retrieval effect.

W. Fang—This work was partially supported by the National Natural Science foundation of China (Grant Nos. 61105128, 61170119, 61373055), the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20131106), the Postdoctoral Science Foundation of China (Grant No. 2014M560390), the Fundamental Research Funds for the Central Universities, China (Grant No. JUSRP51410B), Six Talent Peaks Project of Jiangsu Province (Grant No. DZXX-025), the PAPD of Jiangsu Higher Education Institutions, China.

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Authors and Affiliations

  1. School of Internet of Things Engineering, Jiangnan University, Wuxi, 214122, China

    Wei Fang & Xiaobin Liu

Authors
  1. Wei Fang
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  2. Xiaobin Liu
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Correspondence to Wei Fang .

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Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Xi'an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Shenzhen University, Shenzhen, China

    Ben Niu

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Fang, W., Liu, X. (2016). Content-Based Image Retrieval Based on Quantum-Behaved Particle Swarm Optimization Algorithm. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2016. Lecture Notes in Computer Science(), vol 9712. Springer, Cham. https://doi.org/10.1007/978-3-319-41000-5_39

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  • DOI: https://doi.org/10.1007/978-3-319-41000-5_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40999-3

  • Online ISBN: 978-3-319-41000-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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