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A new fusion approach for content based image retrieval with color histogram and local directional pattern

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Abstract

In this paper, we propose a novel color image retrieval approach by using an effective fusion of two types of histograms extracted from color and local directional pattern (LDP), respectively. First, we describe the extraction process of color histogram and LDP. Secondly we present these two features and then develop an effective fusion procedure including feature normalization and a new similarity metric. Thirdly, this new approach is validated after extensive comparisons with several existing state of the art approaches on two benchmark datasets including the Wang’s dataset and large size of the Corel-10000 dataset. Finally, a friendly interface for this proposed retrieval system is designed and used to show some retrieval results.

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Acknowledgments

We thank the anonymous reviewers for their valuable comments and constructive recommendations for improving the quality of this manuscript. This work is supported by Natural Science Foundation of China with Nos. 61462097 and 61262071, and Application Infrastructure Projects of Science and Technology Plan in Yunnan Province with No. 2014FD016, and Key Project of Applied Basic Research Program of Yunnan Province with No. 2016FA024.

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Authors and Affiliations

  1. School of Control Science and Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, 116024, China

    Ju-xiang Zhou & Xiao-dong Liu

  2. Key Laboratory of Education Informalization for Nationalities, Ministry of Education, Yunnan Normal University, Kunming, 650500, China

    Ju-xiang Zhou & Jian-hou Gan

  3. Postgraduated Department, Yunnan Normal University, Kunming, 650500, China

    Tian-wei Xu

  4. Department of Computing, Curtin University, Perth, WA, 6102, Australia

    Wan-quan Liu

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  1. Ju-xiang Zhou
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Correspondence to Ju-xiang Zhou.

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Zhou, Jx., Liu, Xd., Xu, Tw. et al. A new fusion approach for content based image retrieval with color histogram and local directional pattern. Int. J. Mach. Learn. & Cyber. 9, 677–689 (2018). https://doi.org/10.1007/s13042-016-0597-9

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  • DOI: https://doi.org/10.1007/s13042-016-0597-9

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