tailieunhanh - Báo cáo hóa học: "Research Article Colour Vision Model-Based Approach for Segmentation of Traffic Signs"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Colour Vision Model-Based Approach for Segmentation of Traffic Signs | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 386705 7 pages doi 2008 386705 Research Article Colour Vision Model-Based Approach for Segmentation of Traffic Signs Xiaohong Gao 1 Kunbin Hong 1 Peter Passmore 1 Lubov Podladchikova 2 and Dmitry Shaposhnikov2 1 School of Computing Science Middlesex University The Burroughs Hendon London NW4 4BT UK 2 Laboratory of Neuroinformatics of Sensory and Motor Systems . Kogan Research Institute for Neurocybernetics Rostov State University Rostov-on-Don 344090 Russia Correspondence should be addressed to Xiaohong Gao Received 28 July 2007 Revised 25 October 2007 Accepted 11 December 2007 Recommended by Alain Tremeau 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. Copyright 2008 Xiaohong Gao et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Recognising a traffic sign correctly at the right time and the right place is very important to ensure the safe journey not only for the car drivers but also for their passengers as well as pedestrians crossing the road at the time. Sometimes due to a sudden change of viewing .