Paper
26 February 2010 Pixel color feature enhancement for road signs detection
Qieshi Zhang, Sei-ichiro Kamata
Author Affiliations +
Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75461N (2010) https://doi.org/10.1117/12.855663
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qieshi Zhang and Sei-ichiro Kamata "Pixel color feature enhancement for road signs detection", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461N (26 February 2010); https://doi.org/10.1117/12.855663
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KEYWORDS
Roads

RGB color model

Image enhancement

Image segmentation

Binary data

Feature extraction

Information visualization

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