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Quaternion-Michelson Descriptor for Color Image Classification
Lan R.; Zhou Y.
Source PublicationIEEE Transactions on Image Processing

In this paper, we develop a simple yet powerful framework called quaternion-Michelson descriptor (QMD) to extract local features for color image classification. Unlike traditional local descriptors extracted directly from the original (raw) image space, QMD is derived from the Michelson contrast law and the quaternionic representation (QR) of color images. The Michelson contrast is a stable measurement of image contents from the viewpoint of human perception, while QR is able to handle all the color information of the image holisticly and to preserve the interactions among different color channels. In this way, QMD integrates both the merits of Michelson contrast and QR. Based on the QMD framework, we further propose two novel quaternionic Michelson contrast binary pattern descriptors from different perspectives. Experiments and comparisons on different color image classification databases demonstrate that the proposed framework and descriptors outperform several state-of-the-art methods.

KeywordColor Image Classification Local Descriptor Michelson Contrast Quaternion Quaternionic Representation (Qr)
URLView the original
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000386148400022
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Cited Times [WOS]:42   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
AffiliationUniversidade de Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Lan R.,Zhou Y.. Quaternion-Michelson Descriptor for Color Image Classification[J]. IEEE Transactions on Image Processing,2016,25(11):5281-5292.
APA Lan R.,&Zhou Y..(2016).Quaternion-Michelson Descriptor for Color Image Classification.IEEE Transactions on Image Processing,25(11),5281-5292.
MLA Lan R.,et al."Quaternion-Michelson Descriptor for Color Image Classification".IEEE Transactions on Image Processing 25.11(2016):5281-5292.
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