Computer Science

Computer Science ›› 2025, Vol. 52 ›› Issue (6A): 240700089-7.doi: 10.11896/jsjkx.240700089

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

FOD Segmentation Method Based on Dual-channel Sparrow Search Algorithm-enhanced OTSU

FEI Chunguo, CHEN Shihong   

  1. College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China
  • Online:2025-06-16 Published:2025-06-12
  • About author:FEI Chunguo,born in 1974,professor.His main research interests include deep learning and intelligent optimization theory.
    CHEN Shihong,born in 2000,postgra-duate.His main research interests include igital image processing and computer vision.

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Abstract: In the method of segmenting foreign object debris(FOD) on airport runways based on image processing,the segmentation based on deep learning cannot accurately perceive untrained FOD.Therefore,a segmentation method is proposed in this paper,based on the improved Otsu method of dual-channel sparrow(DS-OTSU).In this segmentation method,the sparrow search algorithm is combined with OTSU,the optimal point set is added to the sparrow search algorithm to optimize the initial population,and the perturbations in the positive and negative directions are added to the dual channels to change the calculation method of the objective function of the sparrow search algorithm.Experimental analysis shows that the detection accuracy and convergence speed of the proposed method are superior to those of other methods.

Key words: Threshold segmentation, OTSU, Foreign object debris on airport runways, Sparrow search algorithm, Firefly distur-bances

CLC Number: 

  • TP751
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