Automatic road sign detection method based on Color Barycenters Hexagon model

Road sign detection is one of the major concerned topics in the field of driving safety and intelligent vehicle. In this paper, a novel model based on Color Barycenters Hexagon (CBH) is proposed and used to detect road sign usefully. In CBH model, full color images are calculated the color barycenters and get the barycenters region, then automatic select the idea threshold curves to separate the Region of Interest (ROI) of barycenters aiming to detect the road sign. Because of the practically images have many noise, and the existing color space cannot separate the ROI ideally. The proposed CBH model can thresholding the principal color of ROI and have high robust. With suitably thresholding and operations, road sign on various scene images can be detected.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Qieshi Zhang, Sei-ichiro Kamata
• Keywords: CBH Model, Color Barycenters, Computer Vision, ICPR 2008, Road Sign