一种复杂环境下的前视机场跑道识别方法  

A forward-looking runway recognition algorithm in complex environment

作　　者：申为峰[1] 李忠海[1] 

机构地区：[1]沈阳航空工业学院自动化学院,辽宁沈阳110136

出　　处：《沈阳航空工业学院学报》2009年第3期74-77,共4页Journal of Shenyang Institute of Aeronautical Engineering

摘　　要：根据复杂环境机场跑道的视觉特点,提出了利用自适应阈值分割和局部Hough变换相结合的识别方法。利用跑道主要视觉特征提取兴趣区域,缩小处理范围。提取兴趣区域的轮廓后,针对传统Hough变换不能确定直线端点、会出现虚假直线和计算复杂度大的缺点,采用局部Hough变换检测跑道边界。试验结果表明,算法对于复杂环境的机场跑道具有较高的准确性和实时性。This paper presents a method using adaptive image segmentation and partial hough transform to recognize runway in complex environment. We extract interest regions based on visual character to reduce processing range of image. After extracted the contour of these regions we use partial hough transform to detect runway border to overcome the drawback of hough transform used in the whole image, which is difficult to aloeate the start and end point of a line, and may bring false line deetion, and expend much time to calculator. The experiments show that this method can make runway recognition real -time in complex environment and higher accuracy.

关 键 词：HOUGH变换 自适应阈值分割 跑道识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]