A fast algorithm for corner detection using the morphologic skeleton

A fast corner detection algorithm based on the morphologic skeleton is proposed in this paper. The method differs from traditional chain-code-based corner detection algorithms in that the source image is represented as a polygon, and the corners are obtained through detecting the zero radius of the maximum plate on the morphologic skeleton. The result of the corner detection is achieved by using logical hetero-OR operation between two corner sets of the source image and its complement set. In addition. the pseudo-lattice corners generated by discrete sampling can also be eliminated. Experiments show that this method leads to results of good quality and robustness to noise with a low computational cost. (C) 2001 Elsevier Science B.V. All rights reserved.