交通信息与安全2012，Vol.30Issue(1)：148-151,4.DOI:10.3963/j.ISSN1674-4861.2012.01.032
车道线识别中的自适应Canny边缘检测及改进研究
Achievement and Improvement of Adaptive Canny Operator in Lane Identification
陈阳舟 1闫豪杰 1辛乐1
作者信息
- 1. 北京工业大学自主技术与智能控制研究中心 北京100124
- 折叠
摘要
Abstract
For the difficulty of selecting the segmentation threshold in the process of Canny operator-based lane I-dentification, a method of adaptive segmentation threshold in virtue of Otsu algorithm is proposed. Experiments to verify the effectiveness of the algorithm show that it can get good binarization results for far field images, but unavailability for close vision images. Therefore, further improvement is made by proposing a target area compensation strategy. Finally, combining with Hough transform, the lane recognition is ultimately achieved. The Experimental results show that the improved algorithm meet real-time performance of lane detection and identification.关键词
车道线识别/Canny边缘检测/Otsu算法/目标区域补偿Key words
lane identification/Canny operator/Otsu algorithm/target area compensation分类
信息技术与安全科学引用本文复制引用
陈阳舟,闫豪杰,辛乐..车道线识别中的自适应Canny边缘检测及改进研究[J].交通信息与安全,2012,30(1):148-151,4.
