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Local Directional Difference and Relational Descriptor for Texture Classification

Author

Listed:
  • Weidan Yan

    (School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China)

  • Yongsheng Dong

    (School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China)

Abstract

The local binary pattern (LBP) has been widely used for extracting texture features. However, the LBP and most of its variants tend to focus on pixel units within small neighborhoods, neglecting differences in direction and relationships among different directions. To alleviate this issue, in this paper, we propose a novel local directional difference and relational descriptor (LDDRD) for texture classification. Our proposed LDDRD utilizes information from multiple pixels along the radial direction. Specifically, a directional difference pattern (DDP) is first extracted by performing binary encoding on the differences between the central pixel and multiple neighboring pixels along the radial direction. Furthermore, by taking the central pixel as a reference, we extract the directional relation pattern (DRP) by comparing binary encodings representing different directions. Finally, we fuse the above DDP and DRP to form the LDDRD feature vector. Experimental results on six texture datasets reveal that our proposed LDDRD is effective and outperforms eight representative methods.

Suggested Citation

  • Weidan Yan & Yongsheng Dong, 2024. "Local Directional Difference and Relational Descriptor for Texture Classification," Mathematics, MDPI, vol. 12(21), pages 1-15, November.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:21:p:3432-:d:1512537
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    References listed on IDEAS

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    1. Xiaohe Li & Wankou Yang, 2023. "Illumination Removal via Gaussian Difference L0 Norm Model for Facial Experssion Recognition," Mathematics, MDPI, vol. 11(12), pages 1-13, June.
    2. Xiaoying Zhang & Jie Shen & Huaijin Hu & Houqun Yang, 2024. "A New Instance Segmentation Model for High-Resolution Remote Sensing Images Based on Edge Processing," Mathematics, MDPI, vol. 12(18), pages 1-17, September.
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