Abstract
There is a lot of signboards in the street, and they show useful information. It is very important to detect the location and the angle of the arrow in a scene image, because many signboards indicate the direction of a target by the arrow. This paper proposes a method to detect the location and the angle of the arrow patterns in a scene image using the multi-point combinational Hough transform. Scanning from a pair of edge pixels, if the requirement based on the geometrical parameters of the arrow is fulfilled, the voting process is done to the parametrical space that corresponds the location judged that it is the top of the arrowhead of the arrow and the angle judged that the arrow indicates in the object image. After all voting processes are finished, scanning the parametrical space, the point that has the largest voted value in the voting space is detected as the location and the angle of an arrow in the object image. The experimental results show that the arrows of various shapes are detected by the proposed method.
