Recognition of Road Signs in Terrestrial Color Imagery

The advent of massive quantities of high spatial resolution multispectral imagery mandates the development of effective algorithms to manipulate these data. As a result of this research, an algorithm for automatic recognition of road signs in color terrestrial imagery has been developed. The main premise is to utilize prior knowledge about the color and shape of these signs to facilitate both hypothesis generation and verification stages of the recognition process. Any color can be obtained by combining the three basic colors (Red, Green and Blue) with different ratios. Knowing the colors of the targets of interest, one can define the range of response in the RGB bands of color imagery to yield this particular color. This will be the starting point for hypothesis generation of regions with the predefined colors. An interest operator is applied to extract corner points from the isolated regions. These corner points will be matched with the corner points associated with the different sig..