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Recognition of colorful objects in variant backgrounds and illumination conditions

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3 Author(s)
Wen-Chiang Huang ; Dept. of Electr. Eng., Auburn Univ., AL, USA ; Wu, C.-H.J. ; Irwan, J.D.

This paper presents a fuzzy based method for recognizing color objects in a complex background under varying illumination. Fuzzy rules are generated using a fuzzy associative memory training method to cope with chromatic distortion. The color model used is the hue-saturation-value color model. In this paper, the proposed method is applied to stop sign recognition in real-world scenes that may have incorrect video camera focus and/or other color distortions. The results of this research can help the GPSVanTM system generate maps automatically

Published in:

Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on

Date of Conference:

2-6 Dec 1996