TY - GEN
T1 - Pixel color feature enhancement for road signs detection
AU - Zhang, Qieshi
AU - Kamata, Sei Ichiro
PY - 2010/3/22
Y1 - 2010/3/22
N2 - Road signs play an important role in our daily life which used to guide drivers to notice variety of road conditions and cautions. They provide important visual information that can help drivers operating their vehicles in a manner for enhancing traffic safety. The occurrence of some accidents can be reduced by using automatic road signs recognition system which can alert the drivers. This research attempts to develop a warning system to alert the drivers to notice the important road signs early enough to refrain road accidents from happening. For solving this, a non-linear weighted color enhancement method by pixels is presented. Due to the advantage of proposed method, different road signs can be detected from videos effectively. With suitably coefficients and operations, the experimental results have proved that the proposed method is robust, accurate and powerful in road signs detection.
AB - Road signs play an important role in our daily life which used to guide drivers to notice variety of road conditions and cautions. They provide important visual information that can help drivers operating their vehicles in a manner for enhancing traffic safety. The occurrence of some accidents can be reduced by using automatic road signs recognition system which can alert the drivers. This research attempts to develop a warning system to alert the drivers to notice the important road signs early enough to refrain road accidents from happening. For solving this, a non-linear weighted color enhancement method by pixels is presented. Due to the advantage of proposed method, different road signs can be detected from videos effectively. With suitably coefficients and operations, the experimental results have proved that the proposed method is robust, accurate and powerful in road signs detection.
KW - Color barycenters hexagon (CBH) model
KW - Pixel color enhancement
KW - Road signs detection
UR - http://www.scopus.com/inward/record.url?scp=77949458835&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77949458835&partnerID=8YFLogxK
U2 - 10.1117/12.855663
DO - 10.1117/12.855663
M3 - Conference contribution
AN - SCOPUS:77949458835
SN - 9780819479426
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - 2nd International Conference on Digital Image Processing
T2 - 2nd International Conference on Digital Image Processing
Y2 - 26 February 2010 through 28 February 2010
ER -