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A comparison of RGB and HSI color segmentation in real - time video images: A preliminary study on road sign detection

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3 Author(s)
Ubong Lydia Jau, ; Faculty of Cognitive Science and Human Development, Universiti Malaysia Sarawak, Malaysia ; Chee Siong Teh ; Giap Weng Ng,

Color segmentation has been widely applied in many computer vision systems nowadays. In one example of computer vision systems, the real - time automatic road sign detection and recognition system has mostly applied the RGB (i.e. Red, Green and Blue) and HSI (i.e. Hue, Saturation and Intensity) color model to segment road signs from images that were captured by the censoring device. Thus this paper aims to review the background of the real - time road sign detection based on the color; show the performance of RGB and HSI in identifying color of the road signs under different lighting conditions in a real - time video images through the proposed experiments and finally studies the performance of both RGB and HSI from the experiments for application such as automatic road sign detection system.

Published in:

Information Technology, 2008. ITSim 2008. International Symposium on  (Volume:4 )

Date of Conference:

26-28 Aug. 2008