A sub-pixel edge detection approach based on orthogonal moment

Edge detection with sub pixel accuracy is a vital step of vision measurement technology. In this paper, a novel sub-pixel edge detecting algorithm based on orthogonal moment is proposed. The proposed approach locates the edge points with different method for different edges. For the ideal edges, it uses the orthogonal moment based method, and for the blurred edges, the centroid based method is used. Experimental results demonstrate that the proposed method prevails in robustness and high precision compared with traditional method.