A Novel Corner Detection Based on Improved SUSAN Model

摘要

The paper proposes a novel comer detection algorithm based on classical Susan model. The improvement is given from two aspects. One is the choice of the self-adaptive threshold. The other is that we present a rotate coordinate system to find all possible corner points. Experiment result shows that the modified algorithm is robust and of high efficiency.