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Quaternionic local ranking binary pattern: A local descriptor of color images
Lan R.; Zhou Y.; Tang Y.Y.
2016-02-01
Source PublicationIEEE Transactions on Image Processing
ISSN10577149
Volume25Issue:2Pages:566-579
Abstract

This paper proposes a local descriptor called quaternionic local ranking binary pattern (QLRBP) for color images. Different from traditional descriptors that are extracted from each color channel separately or from vector representations, QLRBP works on the quaternionic representation (QR) of the color image that encodes a color pixel using a quaternion. QLRBP is able to handle all color channels directly in the quaternionic domain and include their relations simultaneously. Applying a Clifford translation to QR of the color image, QLRBP uses a reference quaternion to rank QRs of two color pixels, and performs a local binary coding on the phase of the transformed result to generate local descriptors of the color image. Experiments demonstrate that the QLRBP outperforms several state-of-the-art methods.

KeywordColor Image Processing Local Binary Pattern (Lbp) Local Descriptor Quaternionic Representation (Qr)
DOI10.1109/TIP.2015.2507404
URLView the original
Indexed BySCI
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000383905800006
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Cited Times [WOS]:45   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Lan R.,Zhou Y.,Tang Y.Y.. Quaternionic local ranking binary pattern: A local descriptor of color images[J]. IEEE Transactions on Image Processing,2016,25(2):566-579.
APA Lan R.,Zhou Y.,&Tang Y.Y..(2016).Quaternionic local ranking binary pattern: A local descriptor of color images.IEEE Transactions on Image Processing,25(2),566-579.
MLA Lan R.,et al."Quaternionic local ranking binary pattern: A local descriptor of color images".IEEE Transactions on Image Processing 25.2(2016):566-579.
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