Research on Haze Traffic Signal Image Processing Based on Retinex Algorithm

Abstract:
The signal lamp is affected by the haze weather conditions, and the color of the signal lamp image taken will be disturbed to a certain extent. Before color threshold segmentation, it is necessary to restore and enhance the color of the signal lamp to a certain extent, so as to ensure the accuracy and real-time performance of color segmentation and subsequent recognition. Retinex algorithm is an image enhancement theory based on human vision system. In recent years, it has been widely studied and applied. In this paper, SSR, MSR and MSRCR algorithms are introduced in detail, and these three methods are applied to haze traffic signal image enhancement. The experimental results of image processing are given, and the images have been enhanced to different degrees, and the experimental results are good. Traffic signal processing and recognition is one of the key technologies and difficulties of intelligent vehicle unmanned driving, so the research of this paper has important practical application value.