摘要
针对机场跑道胶痕识别过程中出现的残留状态不易检测的问题,设计了一套具有机器视觉功能的胶痕自动识别系统的硬件平台和软件平台。根据机场跑道识别区的区域特征和颜色特征,提出基于RGB颜色空间的图像识别算法,不仅为胶痕的残留状态提供了识别方法,而且克服了机场跑道环境的条件限制。实物测试结果表明:该系统对于机场跑道的重度胶痕区域、轻度胶痕区域、无胶痕区域和异物具有较好的识别能力,完全能够达到胶痕识别性能指标的要求,具有较高的工程实践价值。
In allusion to the problem that the residual state arising in the identification process of rubber⁃mark on the airport runway is hard to detect,the hardware platform and software platform of the rubber⁃mark automatic identification system with the machine vision function are designed.An image recognition algorithm based on RGB color space is proposed according to the regional features and color features in an identification area on the airport runway.It not only provides an identification method for the residual state,but also overcomes the conditional restrictions of the airport runway environment.The physical testing results show that the system has excellent recognition ability for the heavy rubber⁃mark area,light rubber⁃mark area,area without any rubber⁃mark and foreign matters on the airport runway,fully meets the requirements of the rubber⁃mark recognition performance index,and has higher engineering practical value.
作者
刘晓琳
李卓
LIU Xiaolin;LI Zhuo(College of Electric Information and Automation,Civil Aviation University of China,Tianjin 300300,China)
出处
《现代电子技术》
北大核心
2020年第14期4-7,共4页
Modern Electronics Technique
基金
天津市自然科学基金资助项目(17JCYBJC18200)
中央高校基本科研业务费资助项目(3122018C002)
大学生创新创业训练计划资助项目(201910059120,201910059121)。
