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

作     者：CAI Shuyu SHI Tao SHI Lizhong 蔡舒妤;史涛;师利中

作者机构：College of Aeronautical EngineeringCivil Aviation University of ChinaTianjin 300300P.R.China 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2021年第38卷第5期

页      面：788-799页

核心收录：

学科分类：08[工学] 082503[工学-航空宇航制造工程] 0825[工学-航空宇航科学与技术] 

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

主　　题：airframe damage region division multi-dimensional feature entropy multi-threshold correlation optimization aircraft intelligent maintenance 

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 *** 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 *** the correlation parameter optimization algorithm,the problem of low efficiency of multi-dimensional multi-threshold division method is ***,the proposed method is compared and verified by instances of airframe damage *** 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 *** correlation optimization algorithm has high efficiency and stable convergence,and can meet the requirements of aircraft intelligent maintenance.