南京航空航天大学学报（英文版）2021，Vol.38Issue(5)：788-799,12.
基于关联优化的多维多阈值机体损伤区域划分
Multi?dimensional and Multi?threshold Airframe Damage Region Division Method Based on Correlation Optimization
摘要
Abstract
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.关键词
机体损伤区域划分/多维特征熵/多阈值/关联优化/航空器智能维修Key words
airframe damage region division/multi-dimensional feature entropy/multi-threshold/correlation optimization/aircraft intelligent maintenance分类
航空航天引用本文复制引用
蔡舒妤,史涛,师利中..基于关联优化的多维多阈值机体损伤区域划分[J].南京航空航天大学学报（英文版）,2021,38(5):788-799,12.基金项目
The work was supported by the Aero?nautical Science Foundation of China(No.20151067003). （No.20151067003）
