Parts Shape Recognition Based on Improved Harris Corner Detection Algorithm
Yang Hu · 2013
In this paper,a new way of parts shape recognition based on improved Harris corner detec- tion algorithm is proposed. Image acquisition,gray-scale conversion,filtering noise,corner extrac- tion,shape matching are followed to achieve the shape recognition of the static parts. B-spline filter is chosen as smooth function instead of Gaussian filter. It is shown that the proposed approach has the characteristics of real-time,accuracy by the Matlab simulation results