Morphological skeleton analysis of traffic signs on road

Traffic signs on roads are artificial objects which take specific shapes, and always contain outer contour and inner shape. The key to recognizing them by computer vision is how to detect them and identify their inner shapes. In this paper, mathematical morphology is used to research shape features of inner shapes of traffic signs on roads, and morphological skeletons of the inner shapes are analyzed experimentally. Relative functions and distance functions of the morphological skeletons are presented and discussed, which can be very well used to identify the traffic signs on roads.