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.
https://hal.inria.fr/hal-01220927
Contributor : Hal Ifip <>
Submitted on : Tuesday, October 27, 2015 - 10:11:30 AM Last modification on : Wednesday, January 17, 2018 - 10:43:35 AM Long-term archiving on: : Thursday, January 28, 2016 - 10:35:32 AM
Bo Peng, Juan Wu. A Novel Robust Method for Automatic Detection of Traffic Sign. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. pp.263-268, ⟨10.1007/978-3-642-54344-9_32⟩. ⟨hal-01220927⟩