Abstract
Haze weather conditions, reduced visibility and poor line of sight will seriously affect driving safety. In the case of haze weather, the weather obscures the field of vision, the quality of collected images is significantly reduced, and the working efficiency of intelligent transportation system is low, based on the a priori defogging algorithm of dark channel, this paper explores the image restoration method combined with image region segmentation, and optimizes it from the perspective of traffic application, so as to obtain better processing effect. The research shows that this method makes the image details more prominent after defogging, has better visual effect and time performance, and is conducive to target detection in haze weather.
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