摘要
为提升飞机结构损伤维修分析的智能化水平,实现飞机结构损伤模型的高效重构,提出了基于结构张量特征的动态阈值损伤区域划分方法。首先,引入结构张量理论,特征表示图像局部颜色结构纹理,完备损伤图像特征表示;其次,通过构建共性分布的结构张量特征空间,从而使不同损伤图像具有一致性损伤区域划分流程;在此基础上,定义了动态阈值划分算子,并通过对动态阈值划分算子参数的计算,实现结构张量特征空间中的动态阈值划分;最后,选用不同飞机结构损伤实例图像对方法进行了对比验证。验证结果表明,相比于传统灰度方法、固定阈值划分和其他动态阈值划分算子,椭圆算子划分得到的损伤边界连贯完整,能够有效分割微小裂纹,噪点较少,质量较优。该方法运算高效、流程统一、特征表示完备,对不同类型结构损伤的适用性好。
To improve the intelligentization level of maintenance analysis of aircraft structural damage,and realize the reconfiguration of aircraft structure damage model efficiently,an airframe damage region dynamic threshold division method based on structural tensor characteristics is proposed.By introducing the structural tensor theory,local image color structure and texture features are represented to complete the feature representation of damage images.And by constructing the samedistribution structure tensor feature space,the damage region division consistency process of different damage images is constructed.On the basis,the dynamic threshold division operators are defined.By computing the parameters of dynamic threshold division operators,the dynamic threshold division of structural tensor feature space is realized.Finally,a contrast verification is performed using different airframe structural damage images.The result shows that comparing with the traditional gray method,the fixed threshold division method and the other dynamic threshold division operators,ellipse operator shows better quality of division.And its damage region boundary is coherent and complete.Tiny cracks can be divided effectively with less noise.The method efficient in operation,and consistent in process showing high applicability to different types of structural damage.
作者
师利中
SHI Lizhong(College of Aeronautical Engineering,Civil Aviation University of China,Tianjin 300300,China)
出处
《航空学报》
EI
CAS
CSCD
北大核心
2018年第11期184-194,共11页
Acta Aeronautica et Astronautica Sinica
基金
航空科学基金(20151067003)~~
关键词
机体损伤区域划分
结构张量特征
动态阈值划分方法
动态阈值划分算子
智能维修
airframe damage region division
structural tensor characteristics
dynamic threshold division method
dynamic threshold division operator
intelligent maintenance
