Traffic Sign Image Segmentation using U-Net Architecture Based on Convolutional Neural Network
Accurate pixel-level segmentation of traffic signs in natural scenes is a critical precursor to reliable sign recognition in intelligent transportation systems. This study investigates the effectiveness of the U-Net architecture for semantic segmentation of traffic signs using a dataset comprising 1,750 training subset...