Shadow And Highlight Invariant Colour Segmentation Algorithm For Traffic Signs

Author

Fleyeh, Hasan

Author_Institution

Dept. of Comput. Eng., Dalarna Univ., Borlange

fYear

2006

fDate

7-9 June 2006

Firstpage

1

Lastpage

7

Abstract

Shadows and highlights represent a challenge to the computer vision researchers due to a variance in the brightness on the surfaces of the objects under consideration. This paper presents a new colour detection and segmentation algorithm for road signs in which the effect of shadows and highlights are neglected to get better colour segmentation results. Images are taken by a digital camera mounted in a car. The RGB images are converted into HSV colour space and the shadow-highlight invariant method is applied to extract the colours of the road signs under shadow and highlight conditions. The method is tested on hundreds of outdoor images under such light conditions, and it shows high robustness; more than 95% of correct segmentation is achieved

Keywords

image colour analysis; image segmentation; road traffic; traffic engineering computing; HSV colour space; colour detection; colour extraction; computer vision; highlight invariant colour segmentation; shadow invariant colour segmentation; traffic signs; Brightness; Color; Computer vision; Digital cameras; Image converters; Image segmentation; Roads; Shape; Testing; Vehicle safety; colour detection; colour segmentation; outdoor image; road signs;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2006 IEEE Conference on

Conference_Location

Bangkok

Print_ISBN

1-4244-0023-6

Type

conf

DOI

10.1109/ICCIS.2006.252225

Filename

4017784