This paper aims to present three new methods for color detectioii and segmentation o f road signs. The images are taken by a digital camera mounted in a car. The RGB images are converted into IHLS color space, and new methods are applied to extract the colors of the road signs under consideration. The methods are tested on hundreds of outdoor images in different light conditions, and they show high robustness. This project is part of the research taking place in Dalama University / Sweden in the field of the ITS.
REF compares three segmentation methods for road signs detection in the Improved Hue, Luminance and Saturation (IHLS) color space.
Color detection and segmentation for road and traffic signs
IEEE Conference on Cybernetics and Intelligent Systems, 2004.
IEEE Conference on Cybernetics and Intelligent Systems, 2004.
Computer Science