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Physical condition analysis of road signs using image template
Author(s): W. Mohd-Isa; N. F. Md-Saffi; S. Mat-Desa; N. Hashim; Z. Che-Embi; J. Abdullah; A. Ali
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Paper Abstract

Road signs play an essential role in ensuring road safety. However, due to external factors such as bad weather, road signs may not be in their best condition that may hinder effective communication between the road and the road users. Although the study on detection and classification of road signs is becoming more common these days, there is yet to exist a study that analyzes whether a road sign is in a good or bad condition. The basis of this study is to implement image template algorithms on road signs that will be used to analyze their physical condition as good or damaged. In addition to template matching, this study proposes a template difference method for its condition analysis. Analyses on three shapes of road signs: circular, triangular, and diamond give out the average correctly classified detection as 60% and 78%, respectively for template matching and template difference method.

Paper Details

Date Published: 22 March 2019
PDF: 6 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104944 (22 March 2019); doi: 10.1117/12.2521621
Show Author Affiliations
W. Mohd-Isa, Multimedia Univ. (Malaysia)
N. F. Md-Saffi, Multimedia Univ. (Malaysia)
S. Mat-Desa, Multimedia Univ. (Malaysia)
N. Hashim, Multimedia Univ. (Malaysia)
Z. Che-Embi, Multimedia Univ. (Malaysia)
J. Abdullah, Multimedia Univ. (Malaysia)
A. Ali, Multimedia Univ. (Malaysia)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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