航拍图像中机场跑道的快速检测  

A Fast Method of Airport Runway Detection in Aerial Images

作　　者：吴健新[1] 李翠华[1] 吴晓昶[1] 柯渝[1] 

机构地区：[1]厦门大学信息科学与技术学院 计算机科学系,厦门361005

出　　处：《模式识别与人工智能》2006年第2期262-265,共4页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金委员会创新研究群体项目(No.60024301);国家自然科学基金项目(No.60175008);厦门大学985二期信息创新平台项目资助

摘　　要：提出一种航拍机场跑道的快速检测方法.首先,采用自适应阈值方法对图像进行边缘检测,提取图像,要物体的轮廓后利用线段的长度和图像的梯度相位信息剔除短线条和曲线.然后利用 Hough 变换进行直线检搜索出平行直线对作为机场跑道的候选区域.最后利用机场跑道特征对候选区域进行验证.剔除虚假目标,对ternet 上下载的大量机场航拍图像的实验表明,该方法能够快速准确地检测出机场跑道,且具有较好的鲁棒性够消除背景中诸如云朵等物体的干扰.A method to fast detect airport runway in the aerial images is presented in this paper. Firstly, the binary image is generated via adaptive edge detection, so the main edges of the object in the image are extracted. Next, using the length information of the lines and gradient information of the pixels, the post-processing is applied to eliminate the short lines and reduce the curves. Then the parallel straight lines detected by Hough transform are considered as candidate regions. At last, the candidate regions are verified by the character of runway. Experiments on dozens of the aerial images from Internet indicate that this method can detect the runway exactly and quickly, and it is robust to the disturbance of some background objects such as cloud.

关 键 词：边缘检测 HOUGH变换 机场检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]