New Algorithm for Corner Detection with Regulated Morphology

A novel corner detection algorithm based on regulated morphology is proposed in this paper. Symmetric disk structure element is adopted in the algorithm. Firstly, by choosing a proper regulated parameter, the image is processed with a series of operations such as regulated erosion and regulated dilation to get accurate positions of the convex and concave corners respectively, and then all corners in the image are obtained by combing the two kinds of corners together. The use of disk structure element highly decreases the computation cost. The method based on regulated morphology is more precise than methods based on traditional morphology. The experiment results prove that when a proper value of the regulated parameter is chosen, the proposed new detector can precisely detect corners in images.