复杂环境下的图像处理综述

Overview of Image Processing in Complex Environment

随着无人驾驶的快速发展,解决复杂环境下的交通标志、交通灯以及车道线的识别问题成为研究热点。为了保证后期检测和识别的准确与快速,较好地处理复杂环境下拍摄的视频图像极为关键。文章综述了雾霾、雨、雪等恶劣天气和复杂光线条件下图像处理方法,并且对其各种方法的优缺点进行了简单阐述。最后,总结了本次工作,展望了未来这一方向的发展。

With the rapid development of unmanned driving, solving the problem of recognizing traffic signs, traffic lights and lane lines in complex environment has become a research hotspot. In order to ensure the accuracy and rapidity of post-detection and recognition, it is crucial to deal with the video images captured in complex environment. In this paper, the image processing methods under severe weather and complex light conditions such as smog, rain and snow are summarized, and the advantages and disadvantages of various methods are briefly described. Finally, this work is summarized and the future development in this direction is prospected.