Multi-dimensional and Multi-threshold Airframe Damage Region Division Method Based on Correlation Optimization  

基于关联优化的多维多阈值机体损伤区域划分

作　　者：CAI Shuyu SHI Tao SHI Lizhong 蔡舒妤;史涛;师利中(中国民航大学航空工程学院,中国天津300300)

机构地区：[1]College of Aeronautical Engineering,Civil Aviation University of China,Tianjin 300300,P.R.China

出　　处：《Transactions of Nanjing University of Aeronautics and Astronautics》2021年第5期788-799,共12页南京航空航天大学学报（英文版）

基　　金：supported by the Aeronautical Science Foundation of China(No.20151067003)。

摘　　要：In order to obtain the image of airframe damage region and provide the input data for aircraft intelligent maintenance,a multi-dimensional and multi-threshold airframe damage region division method based on correlation optimization is proposed.On the basis of airframe damage feature analysis,the multi-dimensional feature entropy is defined to realize the full fusion of multiple feature information of the image,and the division method is extended to multi-threshold to refine the damage division and reduce the impact of the damage adjacent region’s morphological changes on the division.Through the correlation parameter optimization algorithm,the problem of low efficiency of multi-dimensional multi-threshold division method is solved.Finally,the proposed method is compared and verified by instances of airframe damage image.The results show that compared with the traditional threshold division method,the damage region divided by the proposed method is complete and accurate,and the boundary is clear and coherent,which can effectively reduce the interference of many factors such as uneven luminance,chromaticity deviation,dirt attachment,image compression,and so on.The correlation optimization algorithm has high efficiency and stable convergence,and can meet the requirements of aircraft intelligent maintenance.为了快速获取机体损伤区域图像,为飞机智能维修提供数据输入,提出了一种基于关联优化的多维多阈值机体损伤区域划分方法。在机体损伤特征分析的基础上,定义了多维特征熵以充分融合损伤图像多样化特征信息。通过设计多阈值损伤区域划分方法,细化了损伤区域,减少了损伤邻域形态变化对划分效果的影响。使用关联参数优化算法解决了多维多阈值划分方法效率低下的问题。最后,以机身损伤图像为例,对该方法进行了对比和验证。结果表明,与传统的阈值划分方法相比,该方法划分的损伤区域准确完整、边界清晰,可以有效地减少亮度不均匀、色度偏差、污垢附着及图像压缩等诸多因素的干扰。关联优化算法效率高且收敛稳定,能够满足飞机智能维修的要求。

关 键 词：airframe damage region division multi-dimensional feature entropy MULTI-THRESHOLD correlation optimization aircraft intelligent maintenance 

分 类 号：V267[航空宇航科学与技术—航空宇航制造工程]