Title :
Color detection and segmentation for road and traffic signs
Author_Institution :
Dept. of Comput. Eng., Dalarna Univ., Borlange
Abstract :
This paper aims to present three new methods for color detection and segmentation of 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 Dalarna University/Sweden in the field of the ITS
Keywords :
feature extraction; image colour analysis; image segmentation; road traffic; traffic engineering computing; IHLS color space; RGB image; color detection; color segmentation; outdoor image; road sign; traffic sign; Color; Digital cameras; Image converters; Image segmentation; Pollution; Road accidents; Road transportation; Shape; Vehicle driving; Vehicle safety;
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-8643-4
DOI :
10.1109/ICCIS.2004.1460692
