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An LBP encoding scheme jointly using quaternionic representation and angular information

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Abstract

Local descriptors play a crucial role in numerous computer vision and pattern recognition applications. This paper proposes a novel local descriptor, called the quaternionic local angular binary pattern (QLABP), for color image classification. QLABP is based on the quaternionic representation (QR) of color images such that it is able to handle all color components holistically as well as consider their relations. Using QR, the quaternionic angular information is further developed to account for more color characteristics. We provide two ways to derive the quaternionic angular information from different perspectives. A pattern encoding operation is finally conducted on the obtained angular information to obtain QLABP. The effectiveness of QLABP has successfully been evaluated by comparing with several state-of-the-art descriptors.

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Notes

  1. Note that there are two types of CT for a quaternion, namely the left CT and right CT, and their phases are equal. We use the right CT as in Eq. (7) to illustrate the derivation of QLABP in this paper.

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Acknowledgements

This work was partially supported by the National Natural Science Foundation of China (Nos. 61702129, 61772149, U1701267, and 61320106008), China Postdoctoral Science Foundation (No. 2018M633047), Guangxi Science and Technology Project (No. 2018AD19029), the Macau Science and Technology Development Fund under Grant FDCT/189/2017/A3, and by the Research Committee at University of Macau under Grants MYRG2016-00123-FST and MYRG2018-00136-FST.

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Authors and Affiliations

  1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

    Rushi Lan

  2. Guangxi Key Laboratory of Intelligent Processing of Computer Image and Graphics, Guilin University of Electronic Technology, Guilin, China

    Rushi Lan

  3. Department of Mechanical and Control of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan

    Huimin Lu

  4. Department of Computer and Information Science, University of Macau, Macao, China

    Yicong Zhou

  5. Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China

    Zhenbing Liu & Xiaonan Luo

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  1. Rushi Lan
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  2. Huimin Lu
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  3. Yicong Zhou
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  4. Zhenbing Liu
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  5. Xiaonan Luo
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Correspondence to Huimin Lu.

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Lan, R., Lu, H., Zhou, Y. et al. An LBP encoding scheme jointly using quaternionic representation and angular information. Neural Comput & Applic 32, 4317–4323 (2020). https://doi.org/10.1007/s00521-018-03968-y

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