A New Approach on Red Color Thresholding for Traffic Sign Recognition System

Traffic sign recognition system is an intelligent vision system to recognize traffic signs on the road. This paper describes a new approach on red color thresholding for traffic sign recognition system. To extract red color from an image, a thresholding method based on the CIE-RGB chromaticity diagram was proposed. A g-r histogram of the image was developed by subtracting the normalized red of RGB color from the normalized green one. A threshold value is selected automatically by analyzing the g-r histogram. To evaluate the proposed method, comparison to the other red color thresholding methods was made using tested images taken from real environments with varying illuminations and backgrounds. From the experiment, our proposed method resulted in the thresholding quality with average score of 0.630 and average execution time of 0.038 seconds which is the best performance among the others.

[1]  Lei Tian,et al.  COLOR IMAGE SEGMENTATION WITHGENETIC ALGORITHM FOR IN-FIELD WEED SENSING , 2000 .

[2]  Hugo Guterman,et al.  An adaptive neuro-fuzzy system for automatic image segmentation and edge detection , 2002, IEEE Trans. Fuzzy Syst..

[3]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[4]  Chao-Lin Liu,et al.  Traffic Sign Recognition in Disturbing Environments , 2003, ISMIS.

[5]  P.K Sahoo,et al.  A survey of thresholding techniques , 1988, Comput. Vis. Graph. Image Process..

[6]  K S Deshmukh,et al.  An Adaptive Color Image Segmentation , 2006 .

[7]  Bülent Sankur,et al.  Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.

[8]  Yuzo Hirai,et al.  SEGMENTATION of ROAD SIGN SYMBOLS using OPPONENT-COLOR FILTERS , 2004 .

[9]  Bir Bhanu,et al.  Adaptive integrated image segmentation and object recognition , 2000, IEEE Trans. Syst. Man Cybern. Part C.

[10]  M. Benallal,et al.  Real-time color segmentation of road signs , 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

[11]  Huosheng Hu,et al.  An Adaptive Color Segmentation Algorithm for Sony Legged Robots , 2003, Applied Informatics.

[12]  Jim Tørresen,et al.  Detection of Norwegian Speed Limit Signs , 2002, ESM.

[13]  Chung-Lin Huang,et al.  Road sign detection and recognition using matching pursuit method , 2001, Image Vis. Comput..

[14]  Koichi Yamada,et al.  An Efficient Algorithm for Traffic Sign Detection , 2006, Journal of Advanced Computational Intelligence and Intelligent Informatics.

[15]  J.R. Martinez-De Dios,et al.  A new training-based approach for robust thresholding , 2004, Proceedings World Automation Congress, 2004..

[16]  Chein-I Chang,et al.  Unsupervised approach to color video thresholding , 2004 .