Physical condition analysis of road signs using image template


Mohd Isa, Wan Noorshahida and Md Saffi, N. F. and Mat Desa, Shahbe and Hashim, N. and Abdullah, Junaidi and Ali, A. and Che Embi, Zarina (2019) Physical condition analysis of road signs using image template. International Workshop on Advanced Image Technology (IWAIT) 2019, 11049. ISSN 0277-786X

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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. © (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Item Type: Article
Uncontrolled Keywords: Image segmentation, road signs
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 08 Feb 2022 04:10
Last Modified: 08 Feb 2022 04:10


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