一种基于OpenCV的飞机跑道及地平线检测算法  

Algorithm of Runway and Horizon Recognition Based on OpenCV

作　　者：孙颖[1] 丁庆生[1] 陈静[1] 

机构地区：[1]电子科技大学电子工程学院,四川成都610054

出　　处：《现代电子技术》2009年第3期190-191,共2页Modern Electronics Technique

摘　　要：讨论了Intel开源计算机视觉库(Open Computer Vision,OpenCV)在图像处理中的应用。跑道识别是无人机着陆图像导航中的一项关键技术,准确而实时地检测出飞机跑道及地平线对推动无人机着陆导航技术的发展及减少着陆过程中的事故起着至关重要的作用。采用的方法是对无人机航拍采集到的RGB数字原图进行预处理之后,在OpenCV平台上进行Hough变换,从而提取其飞机跑道边缘及地平线,并最终成功的在OpenCV上实现了飞机跑道及地平线识别的仿真。实验证实了该检测算法在无人机着陆导航技术中的可行性。This paper describes the application of OpenCV in digital image processing. Runway recognition is key technology in the Unmanned Aerial Vehicte（UAV） image navigation landing,it＇s extremely important to promote the development of UAV navigation landing and reduce accidents in landing that detecing the runway and horizon fast and accurately. The adopted method is：Hough transformation based on OpenCV after preconditioning the original digital image（RGB image） which derived from the aerophotography,consequently extract the edge of runway and horizon,and finally recognize successfully the runway and horizon based on OpenCV. This experiment prove the algorithm is feasible in the UAV image navigation landing.

关 键 词：OPENCV 图像处理 跑道识别 HOUGH变换 

分 类 号：TN919[电子电信—通信与信息系统]