Morphological traffic sign recognitions
Gang Yi Jiang, Tae Young Choi, Yi Zheng · 2002
The main attentions are focused on a binary machine vision problem, e.g., morphological traffic sign recognition. In order to recognize informational inner sign shapes of Korean traffic signs on roads, four quantitative similarity measures are developed, which are based on mathematical morphology and binary rank statistics. Using them, maximum similarity or minimum distance matching algorithms are proposed. Simulation results show that the algorithms are efficient and robust to noise.