JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2026, Vol. 61 ›› Issue (1): 76-84.doi: 10.6040/j.issn.1671-9352.5.2025.118

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Precise morphological recognition with zonal micro-direction for termites

ZOU Zheng1, LEI Yusheng1, LIU Shijian2, WANG Dingyi3, QIU Xuewei1, SHI Wenwen2, ZHOU Xiaotong2   

  1. 1. College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, Fujian, China;
    2. Fujian Provincial Key Laboratory of Big Data Mining and Applications(Fujian University of Technology), Fuzhou 350118, Fujian, China;
    3. School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, Fujian, China
  • Published:2026-01-15

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Abstract: The partition-based approach is used in the paper to refine the target by indirectly enhancing the salience of morphological differences. Rotational moment-based representation is provided more directional information, and a multi-layer local spatial perception module is incorporated to directly associate direction with features. Furthermore, a dual-branch spatial pyramid module is introduced to enhance the reuse of shallow features and improve computational efficiency. In our experiments, the rotational object detection method, the key point detection method, and the proposed method are compared, and it is demonstrated that our method achieves better accuracy and robustness in extracting the direction and position of small targets under higher interference.

Key words: measurement of termite morphology, oriented object detection, key point detection, species identification, automatic morphology recognition

CLC Number: 

  • TP391
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