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http://dx.doi.org/10.3745/KIPSTB.2002.9B.5.681

Traffic Sign Area Detection by using Color Rate and Distance Rate  

Kwak, Hyun-Wook (영남대학교 대학원 컴퓨터공학과)
Lee, Woo-Beom (대구과학대학교 컴퓨터공학과)
Kim, Wook-Hyun (영남대학교 전자정보공학부)
Publication Information
The KIPS Transactions:PartB / v.9B, no.5, 2002 , pp. 681-688 More about this Journal
Abstract
This paper proposes a system detecting the area of traffic sign, which uses color rate as the information of colors, and corner point and distance rate as the information of morphology. In this system, a candidate area is extracted by performing dilation operation on the binary image made by the color rate of R, G, B components and by detecting corner point and center point through mask. The area of traffic sign with varied shapes is extracted by calculating the distance rate from center point, which is the information of morphology. The results of this experiment demonstrate that in this system which is invariable regardless of its size and location, it is possible to extract the exact area from varied traffic signs such as the shapes of triangle, circle, inverse triangle, and square as well as from the images at both day and night when brightness value is greatly different. Moreover, it demonstrates great accuracy and speed in processing.
Keywords
Image Segmentation; HSI Color Space; Corner detection; Morphological Filters;
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