Circular road sign detection and recognition based on hough transform

In this paper, a new algorithm is proposed to detect and recognize common road signs. Firstly, color segmentation and connected domain analysis are used for region of interest (ROI) detection and then we used the improved two-time Hough transform to separately determinate the circle center and radiu...

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Bibliographic Details
Published in2012 5th International Congress on Image and Signal Processing pp. 1214 - 1218
Main Authors Sheng Huang, Chenqiang Gao, Shang Meng, Qiang Li, Changchuan Chen, Chenyang Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Algorithm design and analysis
circular road sign detection
color segmentation
Hough transform
Image color analysis
Image edge detection
Roads
Signal processing algorithms
Transforms
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Summary:In this paper, a new algorithm is proposed to detect and recognize common road signs. Firstly, color segmentation and connected domain analysis are used for region of interest (ROI) detection and then we used the improved two-time Hough transform to separately determinate the circle center and radium of the road sign. Then the Weighted Hausdorff Distance is applied in the recognition of extracted ROI. Compared to the conventional methods, the proposed algorithm has the advantage of small storage, lower time complexity and good robustness towards inclination and occlusion.
ISBN:9781467309653
1467309656
DOI:10.1109/CISP.2012.6469709