基于计算机视觉的机场跑道异物检测识别系统

Foreign Object Debris Detection and Identification System Based on Computer Vision

介绍了基于计算机视觉的机场跑道异物检测和识别系统。首先介绍了其总体结构,然后提出一种基于边缘特征的异物检测方法,最后提出了基于Gabor纹理的异物特征提取方法,并以此为依据进行分类。模拟实验表明,该系统方案切实可行,相应的算法能够取得较高的检测性能,系统识别率可达82.5%。

In this paper, a foreign object debris detection and recognition system based on computer vision is presented. First the system structure is introduced, then a foreign object debris detection method based on edge is proposed, finally texture feature of foreign object debris is obtained by Gabor filter. Simulation experiments show that the proposed system is feasible, and the corresponding algorithm can achieve a higher detection rate. The system recognition rate can be up to 82.5%.