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A method for detecting road traffic signs , road traffic signs with basic colors and basic geometric shapes two attributes , the basic colors including red, blue , yellow, black and white, the basic geometric shapes , including round, rectangle, triangle , inverted triangle and octagon , including a ban on road traffic signs signs, directional signs and warning signs , characterized in that the detection method comprises the following steps:
By analyzing the basic colors of road traffic signs , determine the basic colors red road traffic signs to ban flag that determines the basic color blue road signs traffic signs to determine the color black as the basic road traffic sign warning logo or symbol for the ban ; through the analysis of road traffic signs road traffic signs , TSR ban flag indicates the presence of road traffic scenes images , TSG road traffic signs indicate the presence of a scene image , TSW ban flag indicates the presence of road traffic scenes images , TSG indicates the presence of warning signs road traffic scene image ; road traffic signs based on the relationship of color and geometric shapes , the road traffic signs traffic signs rough classification into seven sub- categories, sub- categories of the seven traffic signs are red - the inverted triangle traffic signs, red - octagon traffic signs, red - round traffic signs, black - round traffic signs, blue - round traffic signs, blue - rectangle traffic signs, black - triangle traffic signs, where the red - inverted triangle traffic signs, red - octagon traffic signs, red - round traffic signs, black - round traffic signs to ban flag blue - round traffic signs, blue - rectangle traffic signs as signs , black - traffic sign triangle warning signs ;
Obtained through the image pickup scene of a road traffic , road traffic scene of the current image is defined to obtain the image of the scene for the current road traffic , road traffic scene of the current image is converted from RGB color space to HSI color space color space , three colors RGB color space components, respectively, red R, green G , and blue B, 3 color components , respectively, of the HSI color space hue H, saturation S and the intensity I;
According to the basic colors of road traffic signs , color extraction method based on HSI color space of the current road traffic scene image color extraction to obtain a binary image ;
Edge detection method using the binary image edge detection, to remove noise points, get the suspected area road traffic signs ;
According to all the colors of road traffic signs in the shape of basic geometric shapes and road traffic signs , road traffic signs to determine whether the area suspected as the exact area of road traffic signs , road traffic signs when the suspected area is determined as the exact area of road traffic signs , then according to the basic relationship between color and the color of road traffic signs and the exact geometry of the region 's road traffic signs and basic geometric shapes to determine the exact area of road traffic signs traffic signs subclass belongs, to achieve the detection of road traffic signs ; when suspected road regional traffic signs traffic signs when determining non- road area , not processed and completed. The basic geometry , to determine the geometry of the inverted triangle of the basic symbol for road traffic prohibition mark .