Road traffic sign detection in color images

This work is a part of a smart system that can be used in autonomous vehicles or can assist drivers in locating road signs. The detection technique includes histogram equalization, light control and color segmentation. In this technique, both the HSV and the YUV color spaces are incorporated to achieve better segmentation results than that of one color space techniques.

[1]  Giovanni Pilato,et al.  Road signs recognition using a dynamic pixel aggregation technique in the HSV color space , 2001, Proceedings 11th International Conference on Image Analysis and Processing.

[2]  Luis Moreno,et al.  Road traffic sign detection and classification , 1997, IEEE Trans. Ind. Electron..

[3]  B. Javidi,et al.  Composite filter bank for road sign recognition , 2000, LEOS 2000. 2000 IEEE Annual Meeting Conference Proceedings. 13th Annual Meeting. IEEE Lasers and Electro-Optics Society 2000 Annual Meeting (Cat. No.00CH37080).

[4]  Randy Crane A Simplified Approach to Image Processing: Classical and Modern Techniques in C , 1996 .

[5]  Bahram Javidi,et al.  Nonlinear distortion-tolerant filters for detection of road signs in background noise , 2002, IEEE Trans. Veh. Technol..

[6]  Filippo Sorbello,et al.  A neural network based automatic road signs recognizer , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).