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Image retrieval based on exponent moments descriptor and localized angular phase histogram

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Abstract

Multiple feature extraction and combination is one of the most important issues in the content-based image retrieval (CBIR). In this paper, we propose a new content-based image retrieval method based on an efficient combination of shape and texture features. As its shape features, exponent moments descriptor (EMD), which has many desirable properties such as expression efficiency, robustness to noise, geometric invariance, fast computation etc., is adopted in RGB color space. As its texture features, localized angular phase histogram (LAPH) of the intensity component, which is robust to illumination, scaling, and image blurring, is used in hue saturation intensity (HSI) color space. The combination of above shape and texture information provides a robust feature set for color image retrieval. Experimental results on well known databases show significant improvements in retrieval rates using the proposed method compared with some current state-of-the-art approaches.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant No. No. 61472171 & 61272416, and Liaoning Research Project for Institutions of Higher Education of China under Grant No. L2013407.

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Authors and Affiliations

  1. School of Computer and Information Technology, Liaoning Normal University, Dalian, 116029, People’s Republic of China

    Xiang-Yang Wang, Lin-Lin Liang, Yong-Wei Li & Hong-Ying Yang

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  1. Xiang-Yang Wang
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  2. Lin-Lin Liang
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  3. Yong-Wei Li
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  4. Hong-Ying Yang
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Correspondence to Xiang-Yang Wang or Hong-Ying Yang.

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Wang, XY., Liang, LL., Li, YW. et al. Image retrieval based on exponent moments descriptor and localized angular phase histogram. Multimed Tools Appl 76, 7633–7659 (2017). https://doi.org/10.1007/s11042-016-3416-0

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  • DOI: https://doi.org/10.1007/s11042-016-3416-0

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