A Novel Robust Method for Automatic Detection of Traffic Sign - Computer and Computing Technologies in Agriculture VII - Part I Access content directly
Conference Papers Year : 2014

A Novel Robust Method for Automatic Detection of Traffic Sign

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.
Fichier principal
Vignette du fichier
978-3-642-54344-9_32_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01220927 , version 1 (27-10-2015)

Licence

Attribution

Identifiers

Cite

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⟩
64 View
84 Download

Altmetric

Share

Gmail Facebook X LinkedIn More