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Proceedings Paper

Color image retrieval based on refined edge histograms
Author(s): Xiaohui Yang; Jiali Liu; Lijun Cai; Dengfeng Li
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Paper Abstract

Color is an important visual feature of images. However, a major drawback of color histogram is that it will loss spatial information and lead to false retrieval. In this paper, we present a "Back"-shape regional division approach and combine with pyramid histogram of orientated gradients (PHOG) to extract image edge features, termed refined edge histogram (REH). Moreover, the REH descriptor is applied to color image retrieval. Experimental results show that the proposed EDH are suitable for color image retrieval and has higher precision and recall compared to other existing methods.

Paper Details

Date Published: 19 July 2013
PDF: 4 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887820 (19 July 2013); doi: 10.1117/12.2030614
Show Author Affiliations
Xiaohui Yang, Henan Univ. (China)
Jiali Liu, Henan Univ. (China)
Lijun Cai, Henan Univ. (China)
Dengfeng Li, Henan Univ. (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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