Research on Road Target Recognition Method Based on Optical Image

Abstract:

With the development of science and technology, optical images with very high resolution have been able to provide a large amount of information. Therein the road target is the most widely used in optical image. Road target detection and recognition is extremely important for reducing a lot of practical work and greatly improving the efficiency of the target extraction and identification. Aimed at this problem, we propose a road target recognition method based on optical image.The method is realized by joining human recognize and identify, combining with the intelligence of computer processing and powerful place. So in this work, the method based on edge detection and Hough transform algorithm is exploded. The man-machine interactive recognition system (Road Target Extraction and Recognition System) is developed. The system is realized under Windows operating system. The tool is Visual C++ 6.0 software. The platform is MFC functions. The system is written in C++ language. The characteristics of the system are the strong pertinence and the simple operation. When the system is applied safely, the results are definite and clear.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 1968-1971
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.1968
• Online since: August 2014
• Authors: Man Zhao, Jin Jiang Cui, Fei Guo, Mei Zhao, Da Yong Jiang*
• Keywords: Optical Image, Road Target, Target Recognition

References

[1] M. Benallal and J. Meunier, Real-time color segmentation of road signs, In Proceedings of the 2003 Electrical and Computer Engineering Conference, vol. 3, Canada, 2003, pp.1823-1826.

DOI: 10.1109/ccece.2003.1226265

[2] M. Shneier, Road Sign Detection and Recognition, IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, June (2005).

[3] C.Y. Fang, C.S. Fuh, P.S. Yen, S. Cherng, and S.W. Chen An automatic road sign recognition system based on a computational model of human recognition processing, Computer Vision and Image Understanding, 2004, vol. 96, p.237–268.

DOI: 10.1016/j.cviu.2004.02.007

[4] Zhang Jin, Chen Dong-feng. Target recognition based on intuitionistic fuzzy comprehensive evaluation,. Journal of Jilin university, vol 27, pp.407-411, Apr (2009).

[5] S. M. Bascon, S. L. Arroyo, P. G. Jimenez, H. G. Moreno, F. L. Ferreras, Road-Sign Detection and Recognition Based on Support Vector Machines, IEEE Transaction Intelligent Transportation Systems, vol. 8, no. 2, pp.264-278, (2007).

DOI: 10.1109/tits.2007.895311