Abstract
Considering the requirement of high accuracy and robustness for traffic sign detection in real-world environments, this paper proposed a novel method for automatic detection of traffic sign. There are three main stages in the proposed algorithm:1)segmentation by adaptive threshold in HSI color space to find the region of interest; 2)eliminate the noise present in the binary image and the small objects with morphological operations and mean filter;3)contour extraction and curve fitting for a better contour by the least square method. Experimental results show a high success rate and demonstrate that the proposed framework is invariant to illumination, deformation, and partial occlusions.
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Peng, B., Wu, J. (2014). A Novel Robust Method for Automatic Detection of Traffic Sign. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture VII. CCTA 2013. IFIP Advances in Information and Communication Technology, vol 419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54344-9_32
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DOI: https://doi.org/10.1007/978-3-642-54344-9_32
Publisher Name: Springer, Berlin, Heidelberg
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