摘要
提出了一种基于Hough变换的前视机场跑道识别算法。该算法基于跑道灰度图的直线边缘特征,利用直线边缘特有的灰度方向和直线方向相一致的特点改进了基于二值化边缘点的传统Hough法,并在此基础上实现了复杂背景下的机场跑道识别。真实跑道图像测试表明本算法具有良好的识别效果。
A recognition algorithm for forward-looking runway is presented based on improved Hough transform.The forward-looking runway is defined as a pair of linear edges,which are unifications of both the gradient direction and the line direction. With this definition the traditional Hough transform based on binary edge image is improved in order to extract the straight runway lanes form complex background. It is demonstrated to be a practical approach to runway recognition for the good simulation results on real images.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第20期143-145,共3页
Computer Engineering
基金
国家教育部科学技术研究重点资助项目(01072)
上海市科技发展基金资助项目(015225038)
教育部高等学校博士学科点专项科研基金资助项目(20020248029)
航空科学基金资助项目(02S57003)
航天支撑技术基金资助项目
