期刊
PATTERN RECOGNITION
卷 76, 期 -, 页码 50-68出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2017.10.021
关键词
Local binary pattern (LBP); Local binary pattern for color images (LBPC); Local binary pattern of hue component (LBPH); Local color texture; Image retrieval
资金
- University Grants Commission (UGC), New Delhi, India [43-275/2014(SR)]
- University Grant Commission (UGC)
- Ministry of Minority Affairs (MOMA), Govt. of India [F1-17.1/2013-14/MANF-2013-14-SIK-PUN-22020]
We propose a novel local color texture descriptor called local binary pattern for color images (LBPC). The proposed descriptor uses a plane to threshold color pixels in the neighborhood of a local window into two categories. To boost the discriminative power of the proposed LBPC operator, local binary patterns of the hue component in the HSI color space, called the local binary pattern of the hue (LBPH) is derived. Further, LBPC, LBPH are fused to derive LBPC+LBPH which when combined with the color histogram (CH) of the hue component results in an effective image retrieval method LBPC+LBPH+CH. The uniform patterns of the two proposed descriptors ULBPC and ULBPH are combined to yield another low dimension local color descriptor ULBPC+ULBPH+CH which provides a good tradeoff between retrieval accuracy and speed. Detailed experiments conducted on Wang, Holidays, Corel-5K and Corel-10K datasets demonstrate that the proposed low dimension descriptors LBPC+LBPH+CH, and ULBPC+ULBPH+CH outperform the state-of-the-art color texture descriptors in terms of retrieval accuracy and speed. (C) 2017 Elsevier Ltd. All rights reserved.
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