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Rapid Positioning Method for Gunshot Landing Based on IGWO Algorithm
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Xu-tao LU1, Ya-kun GUO1, Jing LI2, Xiao-yu GUO1
Science Technology and Engineering | 2025, 25(3) : 1157 - 1164
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Science Technology and Engineering | 2025, 25(3): 1157-1164
Papers·Automation and Computational Technology
Rapid Positioning Method for Gunshot Landing Based on IGWO Algorithm
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Xu-tao LU1, Ya-kun GUO1, Jing LI2, Xiao-yu GUO1
Affiliations
  • 1. College of Mechatronics Engineering, North University of China, Taiyuan 030051, China
  • 2. College of Electrical and Control Engineering, North University of China, Taiyuan 030051, China
Published: 2025-01-28 doi: 10.12404/j.issn.1671-1815.2309160
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The background difference method and cross-correlation method used in the extraction of the bullet position in the images collected by the traditional CCD(charge coupled device) intersection stand-up target have the problems of poor versatility and long time-consuming. By analyzing the problems existing in CCD precision target image projectile extraction, a method for CCD precision target image projectile extraction based on IGWO(improved grey wolf optimizer) algorithm was proposed. The DLH (dimensional learning-based hunting) search strategy was used to update the position of each search factor through the neighborhood. Generate candid ate solutions, increase the diversity of search populations, and jump out of local optimal solutions. The bullet extraction problem was transformed into the problem of finding the minimum connected region of gray value under certain constraints. The minimization area gray value model, the vertical light spot area and the low gray area elimination model were established. Under the same parameter setting, the IGWO, GWO(grey wolf optimizer), MFO(moth-flame optimization) algorithm, cross-correlation algorithm, and background difference method were used to conduct comparative experiments. The experimental results show that the target detection success rate of the IGWO algorithm is much higher than other algorithms, reaching 95%, and the algorithm solution time is much lower than other algorithms, shortening to 12 ms.

IGWO algorithm  /  search strategy  /  minimize the regional gray value model  /  linear array CCD  /  target position
Xu-tao LU, Ya-kun GUO, Jing LI, Xiao-yu GUO. Rapid Positioning Method for Gunshot Landing Based on IGWO Algorithm[J]. Science Technology and Engineering, 2025 , 25 (3) : 1157 -1164 . DOI: 10.12404/j.issn.1671-1815.2309160
Year 2025 volume 25 Issue 3
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Article Info
doi: 10.12404/j.issn.1671-1815.2309160
  • Receive Date:2023-11-21
  • Online Date:2025-07-29
  • Published:2025-01-28
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  • Received:2023-11-21
  • Revised:2024-06-08
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    1. College of Mechatronics Engineering, North University of China, Taiyuan 030051, China
    2. College of Electrical and Control Engineering, North University of China, Taiyuan 030051, China
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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