Abstract
This paper presents a new approach to segment traffic signs from the rest of a scene via CIECAM, a colour appearance model. This approach not only takes CIECAM into practical application for the first time since it was standardised in 1998, but also introduces a new way of segmenting traffic signs in order to improve the accuracy of colour-based approach. Comparison with the other CIE spaces, including CIELUV and CIELAB, and RGB colour space is also carried out. The results show that CIECAM performs better than the other three spaces with 94%, 90%, and 85% accurate rates for sunny, cloudy, and rainy days, respectively. The results also confirm that CIECAM does predict the colour appearance similar to average observers.
Highlights
Recognising a traffic sign correctly at the right time and the right place is very important to ensure the safe journey for the car drivers and for their passengers as well as pedestrians crossing the road at the time
The experimental results show that this CIECAM model performs very well and can give very accurate segmentation results with up to 94% accuracy rate for sunny days
When compared with HSI, CIELUV, and RGB, the three most popular colour spaces used in colour segmentation research, CIECAM overperforms the other three
Summary
Recognising a traffic sign correctly at the right time and the right place is very important to ensure the safe journey for the car drivers and for their passengers as well as pedestrians crossing the road at the time. Due to a sudden change of viewing conditions, traffic signs can hardly be spotted/recognised until it is too late, which gives rise to the necessity of development of an automatic system to assist car drivers for recognition of traffic signs. Such a car-assistant system requires real-time recognition to match the speed of the moving car, which in turn requires speedy processing of images. Colour information is widely used in traffic sign recognition systems [1, 2], especially for segmentation of traffic sign images from the rest of a scene. The most discriminating colours for traffic signs include red, orange, yellow, green, blue, violet, brown, and achromatic colours [4, 5]
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