计算机科学 ›› 2025, Vol. 52 ›› Issue (6A): 240700089-7.doi: 10.11896/jsjkx.240700089

• 图像处理&多媒体技术 • 上一篇    下一篇

基于双通道麻雀改进OTSU的FOD分割方法

费春国, 陈世洪   

  1. 中国民航大学电子信息与自动化学院 天津 300300
  • 出版日期:2025-06-16 发布日期:2025-06-12
  • 通讯作者: 陈世洪(2028279442@qq.com)
  • 作者简介:(fchunguo@163.com)

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.

摘要: 在基于图像处理分割机场跑道异物(FOD)的方法中,基于深度学习的方法不能准确感知未经训练的异物。对此,提出基于双通道麻雀改进大津法(OTSU)的分割方法(DS-OTSU)来分割感知异物。该分割方法将麻雀搜索算法与OTSU相结合,在麻雀搜索算法中加入佳点集优化初始种群,同时在双通道中分别加入正反两个方向的扰动,从而改变麻雀搜索算法目标函数的计算方法,通过加入双重动态的萤火虫扰动改变种群更新方式,将双通道的运行结果进行对比融合,将原本只能单阈值分割图像的OTSU优化为可以分割阈值段的方法,滤除图像背景部分,最终得到FOD的分割结果。实验分析表明,所提方法在分割精度和收敛速度上均优于其他方法。

关键词: 阈值分割, OTSU, 机场跑道异物, 麻雀搜索算法, 萤火虫扰动

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

中图分类号: 

  • TP751
[1]TANG S X.An algorithm for detecting foreign objects on runway with millimeter wave radar [J].Laser & Infrared,2022,52(6):820-826.
[2]WANG B S,LIU J H,ZHENG X L,et al.A hierarchical detection algorithm for airport runway foreign bodies based on feature spectrum [J].Journal of Electronics and Information Technology,2017,39(11):2690-2696.
[3]ZHANG J B,REN J,WANG M Q.Foreign body detection on all-weather airport runway based on mixed attention [J/OL].(2023-10-18)[2025-03-06].https://doi.org/10.13700/j.bh.1001-5965.2023.0500.
[4]LI X J,DENG Y M,CHEN Z H,et al.Improved YOLOv5 Foreign Object Detection Algorithm on Airport Runway [J].Computer Engineering and Applications,2023,59(2):202-211.
[5]YU C,CHEN D R,YANG L,et al.Otsu’s Thresholding Method Based on Gray Level-Gradient Two-Dimensional Histogram[C]//2010 2nd International Asia Conference onInformatics in Control,Automation and Robotics(CAR 2010).IEEE,2010.
[6]MA G Y,ZENG J S,LIU G N,et al.Research on Visual Detection Method of Flange Surface Defects [J].Machine Design and Manufacture,2024(9):233-237.
[7]ZHOU Z,TAI L G,et al.Research on Measuring the width of twist drill blade Band based on LM method [J].Acta Photonica Sinica,2019,45(4):480-488.
[8]MENG S ,MA Y,BAI B,et al.Otsu lung tissue segmentation algorithm based on particle swarm optimization [J].Chinese Journal of Liquid Crystals and Displays,2015,30(6):1000-1007.
[9]JIANG Y,MA Y,LIANG Y Z,et al.Optimization of OTSU lung tissue segmentation algorithm based on fractional sparrow search [J].Computer Science,2019,48(S1):28-32.
[10]XIONG L L,QIAN Q P,ZHANG S L.Bridge crack detection method based on improved Otsu [J].Semiconductor Optoelectronics,2023,44(6):965-971.
[11]YUAN X J,LIU F,HOU Z J.Adaptive pore structure identification in catalytic layer of proton exchange membrane fuel cells based on GA-PSO-Otsu algorithm [J].Automotive Engineering,2019,45(9):1702-1709.
[12]XU Z N,WANG C Y,ZHAO L J,et al.Research on SF_(6) Leakage gas detection algorithm based on improved background vision extraction and frame superposition[J/OL].(2024-02-29)[2025-03-06].http://kns.cnki.net/kcms/detail/13.1212.TM.20240228.1707.002.html.
[13]DU Y,YUAN H,JIA K,et al.Research on Threshold Segmentation Method of Two-Dimensional Otsu Image Based on Improved Sparrow Search Algorithm [J].IEEE Access,2023,11:70459-70469.
[14]OTSU N J I T O S M,CYBERNETICS.A Threshold Selection Method from Gray-Level Histograms [J].Automatica,1975,11(285-296):23-27.
[15]WU J H,WANG L J,QIN J W.Two-dimensional Otsu image segmentation algorithm based on improved FA optimization [J].Journal of Xinjiang University(Natural Science Edition),2018,35(1):60-65.
[16]DONG J J,WANG Z H.Otsu parenteral segmentation algorithm based on optimal symmetric particle swarm optimization [J].Journal of Hainan University(Natural Science Edition),2019,37(4):313-321.
[17]SUN J H.Research on straw mulch image segmentation method based on Grey Wolf optimization algorithm [D].Changchun:Jilin Agricultural University,2021.
[18]HAN C J,HAO Y L,LIU Y F.Research on color image multi-threshold segmentation based on SSA-Otsu [J].Modern Computer,2021(10):108-111.
[19]XUE J,SHEN B,ENGINEERING C.A novel swarm intelligence optimization approach:sparrow search algorithm [J].2020,8(1):22-34.
[20]TRUONG M,KIM S.Automatic image thresholding using Otsu’s method and entropy weighting scheme for surface defect detection [J].Soft Computing,2018,22:4197-4203.
[21]YUAN X C,WU L S,PENG Q J A S S.An improved Otsu method using the weighted object variance for defect detection [J].Applied Surface Science,2015,349:472-484.
[22]NG H F J P R L.Automatic thresholding for defect detection [J].Pattern Recognition Letters,2006,27(14):1644-1649.
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