An efficient edge and corner detector
Song Yang, Siew-Kei Lam, Thambipillai Srikanthan · 2010
This paper describes an efficient method for image edge and corner detection. Edges are detected before extracting corner points so that the background or noise of the image can be effectively removed. We propose an edge detector that utilizes edge features to localize the edge points. The corner points of an image are then identified by evaluating the degree of turning in the edge direction. The proposed edge and corner detection utilizes low complexity computations. Based on the experiments considered, it can be observed that the proposed edge and corner detector achieves more accurate results than several other well known algorithms. In addition, the proposed method performs faster than most of the other well known algorithms.