Abstract
Since the road signs (RS) are susceptible to noise and difficult to recognize, the paper proposed a method to remove noise of RS and recognize it, where the parameters were estimated by the EM algorithm. The algorithm consists of two steps: first, the RS were modeled and restored by the Markov random field (MRF); Second, recognizing restored RS was through calculating the invariant moments. Simulation experiment compares the median filtering method and Gaussian smooth method. The results show that the proposed algorithm is better than other two methods in restoration and easily to recognize the RS.
This work was supported in part by the NSFC (91016020, 60934009, 61175030), the ZJNSF (Y1101218, Y1080422), and the Hangzhou Dianzi University (KYS065609051).
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Yang, A., Liu, W., Wen, C. (2012). Denoising and Recognition for Road Signs Based on Markov Random Fields . In: Wang, X., Wang, F., Zhong, S. (eds) Electrical, Information Engineering and Mechatronics 2011. Lecture Notes in Electrical Engineering, vol 138. Springer, London. https://doi.org/10.1007/978-1-4471-2467-2_80
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DOI: https://doi.org/10.1007/978-1-4471-2467-2_80
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