Research on Algorithm of Traffic Sign Recognition Based on Fog
Aiming at the problem that the traffic signs are difficult to be accurately recognized in foggy weather,this paper proposes a research on the rapid realization of traffic sign detection and recognition algorithm in haze weather.Firstly,four dehazing algorithms including global histogram equalization,local histogram equalization,single-scale Retinex and multi-scale Retinex are used to realize the dehazing process of the foggy image.Secondly,the YOLOv1 target detection algorithm is used to accurately locate and detect traffic sign targets.Finally,the recognition of 14 types of traffic signs in the LISA traffic sign dataset is realized through the Alex-Net classification recognition model.The results show,the method in this paper can quickly and accurately detect,classify and recognize foggy traffic signs.
traffic signsdetection and recognitionfog removalYOLOv1Alex-Net
万方数据
维普
