系统仿真学报 ›› 2021, Vol. 33 ›› Issue (2): 421-433.doi: 10.16182/j.issn1004731x.joss.19-0455

• 仿真模型/系统置信度评估技术 • 上一篇    下一篇

基于Otsu和改进易经占卜进化算法的红外图像分割

王坤, 吉尧, 刘沛伦, 王力   

  1. 中国民航大学 电子信息与自动化学院,天津 300300
  • 收稿日期:2019-08-28 修回日期:2019-11-21 出版日期:2021-02-18 发布日期:2021-02-20
  • 作者简介:王坤(1978-),女,博士,副教授,研究方向为图像处理。E-mail:9357950@qq.com
  • 基金资助:
    国家自然科学基金(U1733119),国家自然科学基金青年基金(61603395),中央高校基本科研业务费(3122018C001)

Infrared Image Segmentation of Aircraft Skin Based on Otsu and Improved I-Ching Divination Evolutionary Algorithm

Wang Kun, Ji Yao, Liu Peilun, Wang Li   

  1. School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
  • Received:2019-08-28 Revised:2019-11-21 Online:2021-02-18 Published:2021-02-20

摘要: 红外热成像无损检测是飞机蒙皮检测常用方法之一。针对Otsu计算量大,实时性差,提出了基于Otsu和改进的易经占卜进化算法(IDEA)的飞机蒙皮红外图像分割方法对状态大小为3n的易经映射使用轮盘赌选择,再从中选择适应度值最大n个个体作为新的种群,以此对易经选择算子进行改进。实验结果表明:IDEA-Otsu算法不论在收敛速度还是在时间消耗上,都优于其他几种改进的优化算法,说明IDEA-Otsu算法能够有效提升阈值求解的速度。

关键词: 最大类间方差, 红外图像, 图像分割, 易经占卜进化算法, 易经算子

Abstract: Infrared thermal imaging non-destructive testing is one of the commonly used methods for aircraft skin detection. Aiming at Otsu's large computational complexity and poor real-time performance, an aircraft skin infrared image segmentation method based on Otsu and an improved I-Ching divination evolutionary algorithm (IDEA) is proposed. The roulette selection operator is improved by using roulette selection for the I-Ching map of state size 3n, from which the n individuals with the maximum fitness values are then selected as new populations. The experimental results show that the proposed algorithm is superior to several other improved optimization algorithms both in terms of convergence speed and time consumption, which indicates that the algorithm can effectively improve the speed of threshold solution.

Key words: maximum between-class variance, infrared image, image segmentation, I-Ching divination evolutionary algorithm, I-Ching operators

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