An Anisotropic and Asymmetric Causal Filtering Based Corner Detection Method
Abstract
An asymmetric-anisotropic causal diffusion filtering-based curvature operator is proposed in this communication. The new corner operator produces optimal results on small structures, such as, corners at pixel level and also sub-pixel level precision. Meanwhile, this method is robust against noises due to its asymmetric diffusion scheme. Experiments have been performed on a set of both synthetic and real images. The obtained results are promising and better without any ambiguity as compared with the two referenced corner operators, namely Kitchen Rosenfeld and Harris corner detector.
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