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- Title
基于图像去雾和图像检测的交通信息提取算法.
- Authors
徐军; 王秀艳; 张晓宇
- Abstract
The key problems of traffic information are the haze weather and camera shake appeared in the imaging process. To solve these problems, an algorithm is proposed to remove the unknown camera shake from a single image. By using shape features, color features, texture features and Hough transform, the algorithm can effectively identify the traffic signal lamp, obstacles and road. Finally, by the near-first, brief-first principles, an image to the fog and traffic information extraction algorithm is designed based on image detection. The algorithm firstly makes pre-processing of image, and then detects the image edge and obtains polygon contour for each object, at last depends on each object characteristic to use different algorithms to classify objects. The experimental results show that the algorithm can process many objects effectively including road, vehicle, pedestrian, blind path, zebra crossing, the traffic lights types. In real-time environment, the image detection algorithm can satisfy the requirements.
- Publication
Research & Exploration in Laboratory, 2015, Vol 34, Issue 12, p9
- ISSN
1006-7167
- Publication type
Article