基于压缩感知的机体结构图像特征提取技术分析  

Analysis of Feature Extraction Technology for Body Structure Images Based on Compressive Sensing

作　　者：李忠良 袁宇新 张明月 李宝国 LI Zhongliang;YUAN Yuxin;ZHANG Mingyue;LI Baoguo(College of Mechanical Engineering,Chengdu Institute of Technology,Sichuan 611731,China;Civil Aviation Flight School of China Guanghan Airport,Sichuan 618307,China)

机构地区：[1]成都工贸职业技术学院机械工程学院,四川611731 [2]中国民用航空飞行学院广汉机场,四川618307

出　　处：《电子技术（上海）》2024年第4期381-383,共3页Electronic Technology

摘　　要：阐述国产干线客机C919的航线绕机检查,对保证飞机日用率和安全运行起着关键作用。地检设备能够提高机体结构损伤识别率,为此提出一种使用压缩感知技术来实现机体结构损伤图片特征识别的方法。将该方法应用到地检设备图像处理功能模块中,提高地检设备的图像处理能力,实现机体破损特征的准确提取和识别。This paper expounds the route around inspection of the domestically produced mainline passenger aircraft C919,which plays a crucial role in ensuring the daily utilization rate and safe operation of the aircraft.Ground inspection equipment can improve the recognition rate of structural damage to the body.Therefore,a method of using compressed sensing technology to achieve feature recognition of structural damage images is proposed.By applying this method to the image processing module of the ground inspection equipment,the image processing capability of the equipment can be improved,and accurate extraction and recognition of body damage features can be achieved.

关 键 词：图像处理 压缩感知 绕机检查 C919 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]