Estimation of Internal Area in the Circular Road Signs from Color Scene Image
This paper describes an algorithm for estimation of internal area in the circular road signs from color scene image due to fuzzy reasoning. The algorithm works in three steps. First, regions of circular road sign in color scene image are detected. Secondly, color information is estimated due to fuzzy reasoning by using both color features and edge information. Thirdly, the resulting region is classified into three colors: red, blue and white. The experimental results indicate that the proposed algorithm is able to accurately estimate information of internal area in the circular road signs.