Multimedia Tools and Applications

, Volume 76, Issue 6, pp 7633–7659 | Cite as

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

  • Xiang-Yang WangEmail author
  • Lin-Lin Liang
  • Yong-Wei Li
  • Hong-Ying YangEmail author


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.


Content-based image retrieval Exponent moments descriptor Localized angular phase histogram Combination 



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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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.School of Computer and Information TechnologyLiaoning Normal UniversityDalianPeople’s Republic of China

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