Color image retrieval based on refined edge histograms

Xiaohui Yang; Jiali Liu; Lijun Cai; Dengfeng Li

doi:10.1117/12.2030614

19 July 2013 Color image retrieval based on refined edge histograms

Xiaohui Yang, Jiali Liu, Lijun Cai, Dengfeng Li

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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887820 (2013) https://doi.org/10.1117/12.2030614
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

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.

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Xiaohui Yang, Jiali Liu, Lijun Cai, and Dengfeng Li "Color image retrieval based on refined edge histograms", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887820 (19 July 2013); https://doi.org/10.1117/12.2030614

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KEYWORDS

Image retrieval

Feature extraction

Detection and tracking algorithms

Visualization

Databases

Applied mathematics

Lithium

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