Abstract
The recognition system is able to both increase safety by compensating for a driver’s possible inattention and to decrease a driver’s tiredness by helping him follow traffic. An efficient algorithm for preprocessing digital images for the online detection of the road signs has been presented. It has been examined whether it is possible to use color space hue-saturation value for to select the red color. The algorithm for eliminating noises and increasing the accuracy and rate of detection has been developed. The obtained images are very suitable for the localization of road signs.
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This paper uses the materials of the report submitted at the 11th International Conference “Pattern Recognition and Image Analysis: New Information Technologies,” Samara, Russia, September 23–28, 2013.
Pavel Yurievich Yakimov. Born 1987. Graduated from Samara State Aerospace University in 2011, received his Master’s degree with a major in Applied Mathematics and Informatics, currently studying for his PhD and is working as a junior researcher in Samara State Aerospace University and Image Processing Systems Institute has 33 scientific publications. Fields of scientific interest: pattern recognition and image analysis, parallel and distributed programming, GPGPU programming.
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Yakimov, P.Y. Preprocessing digital images for quickly and reliably detecting road signs. Pattern Recognit. Image Anal. 25, 729–732 (2015). https://doi.org/10.1134/S1054661815040264
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DOI: https://doi.org/10.1134/S1054661815040264