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Development of Traffic Light Automatic Discrimination System Using Digital Image Processing Technology  

Kim, Sun-Dong (Dept. of electronic Eng. Wonkwang University)
Baek, Young-Hyun (Dept. of electronic Eng. Wonkwang University)
Moon, Sung-Ryong (Dept. of electronic Eng. Wonkwang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.46, no.2, 2009 , pp. 92-99 More about this Journal
Abstract
This paper established the range of the wavelength of traffic lights to detection the color of traffic lights and the color component segmentation with the range of the wavelength. Development of traffic light automatic discrimination system is consists of the color detection and the traffic lights recognition. In this thesis, it established the range of the wavelength of traffic lights to detection the color of traffic lights and the color segmentation with the range of the wavelength. By the segmentation, the traffic light colors(red, orange and green) can be detected and the background is changed into gray image. Next, we proposed the algorithm which can detect the area of traffic lights in the various surroundings with the wavelet transformation algorithm. Also, we proposed traffic lights recognition algorithm using between the edge operator and the Hausdorff distance algorithm based on CBIR(Content-based Image retrieval). Therefore, the proposed algorithm is more superior to the conventional algorithm by experimenting with the illumination including the traffic lights and the backgrounds with various images.
Keywords
Traffic lights; Color segmentation; Edge; Hausdorff distance; CBIR;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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