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ELGONBP: A grouped neighboring intensity difference encoding for texture classification

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Abstract

Local binary pattern (LBP) plays a crucial part in texture classification. Although plenty of LBP-based methods for texture extraction have achieved good classification results, most LBP variants focus on the relationships between the neighboring pixels and its central pixel in an image patch whereas ignoring the information among neighboring pixels, making the extracted texture descriptors not robust enough to external changes (illumination, rotation, noise, etc.). In this paper, a new texture descriptor, the extended local grouped order and non-local binary pattern (ELGONBP) is introduced. Firstly, we propose a first-order difference coding scheme which is based on the sign difference to encode grouped neighborhood difference information. In this way, we can obtain a more complete representation among neighboring sampling points. To further promote the robustness of texture descriptor, we perform cross-image domain information fusion, which combines the texture information in the original image domain and the gradient domain since image gradients contain rich structural information. Comprehensive experiments are implemented on four public representative texture databases and the noise robustness of different descriptors is evaluated. The experimental results prove that the presented ELGONBP descriptor has better classification performance and noise robustness compared with other state-of-the-art LBP descriptors.

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Acknowledgements

This work is supported in part by the National Natural Science Foundation of China (Grant No. 61872131), the Natural Science Foundation of Hunan Province (Grant No.2019JJ50288) and the Research Foundation of the Education Bureau of Hunan Province (Grant No.19B309).

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Authors and Affiliations

  1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

    Yi Zhang & Yaping Lin

  2. Hunan University of Technology and Business, Changsha, China

    Junfeng Yang

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  1. Yi Zhang
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Correspondence to Yi Zhang.

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Zhang, Y., Lin, Y. & Yang, J. ELGONBP: A grouped neighboring intensity difference encoding for texture classification. Multimed Tools Appl 82, 10311–10336 (2023). https://doi.org/10.1007/s11042-022-13634-0

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