飞机跑道胶痕的自动识别系统设计与实现

为了减轻机场跑道除胶工作人员的劳动强度,提高除胶工作效率,文章提出了一种基于机器视觉的胶痕自动查找和识别方法,设计了基于ARM单片机控制的图像无线采集和基于PC机控制的图像接收、图像预处理和图像识别系统。文章通过分析预处理后的数据特点,确定了基于细胞神经网络算法的胶痕识别算法,然后在MATLAB仿真环境下确定了该算法的最优模型和参数,最后在Visual C++ 6.0环境下完成了该算法的程序编译,调试并完成了对胶痕的自动识别过程。理论仿真和程序测试的结果证明了文章提出的方法在胶痕自动识别系统中的可行性,也为机场特种设备的无人化和智能化提供了参考。

Design and realization of an automatic recognition system for rubber-marks on the runway

_{In order to reduce the labor intensity of the workers cleaning the rubber marks on the runway and improve the rubber removal efficiency,this paper presents a method to recognize the rubber marks automatically based on the machine vision. The method has designed a system containing lower computercontrolled by a microprocessor, wirelessly, to collect data of images of the rubber marks, and upper computer controlled by PC machine to receive, preprocess and identify them.This paper has selected a recognition algorithm based on cellular neural network by analyzingthe data of the preprocessed images,and determinedan optimal model and the parameters of the algorithmin the MATLAB simulation environment, then,compiled,debugged and completed the automatic recognition process of the rubber marks in the Visual C++ 6.0. The results of simulation and test show that the cellular neural network algorithm doeswork in the automatic recognition system of airportrunway rubber. The designand application of this system will promote the development of the unmanned and intelligent specialequipments at the airport.}