DocumentCode :
1723521
Title :
Colour based road sign detection and extraction from still images
Author :
Malik, Rabia ; Nazir, Sana ; Khurshid, Javaid
Author_Institution :
Dept. of Comput. Sci., NUST, Rawalpindi, Pakistan
fYear :
2010
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a system for the detection of road signs from a road scene image and extracts the pictogram inside the sign. The detection is carried out on basis of colour information of road signs instead of edge information from grayscale images. The presented colour based detection process is invariant to the common problems in road signs i.e. shadow, highlight and general affine transformation and rotation. However owing to the problems addressed in the process, it can be stated that the colour information alone is inadequate for segmentation process. Using some edge based segmentation methodology alongside would increase the detection process´ performance. The idea presented in the paper is through detection of road signs with red boundaries and white interior containing black pictograms. More colours with thresholds and shapes with their Hue moments can be added without any change in the general detection methodology; colour segmentation and shape analysis. HSV colour space is adopted for colour segmentation which makes detection invariable to high-lights and illumination changes. While affine moments are used for shape analysis, which makes it invariant to rotation and scale.
Keywords :
affine transforms; edge detection; feature extraction; image colour analysis; image segmentation; natural scenes; traffic engineering computing; HSV colour space; Hue moments; affine transformation; colour based road sign detection; edge based segmentation methodology; image segmentation; pictogram extraction; road scene image; road sign colour information; shape analysis; still images; Detectors; Image color analysis; Image edge detection; Image segmentation; Lighting; Roads; Shape; fuzzy logic; geometric transformation invariance; illumination invariance; image enhancement; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetic Intelligent Systems (CIS), 2010 IEEE 9th International Conference on
Conference_Location :
Reading
Print_ISBN :
978-1-4244-9023-3
Electronic_ISBN :
978-1-4244-9024-0
Type :
conf
DOI :
10.1109/UKRICIS.2010.5898114
Filename :
5898114
Link To Document :
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