Research on Harris Corner Detection Based on Gaussian Differential and Morphological Filter

Harris operator and improvement operator (such as Harris-Laplace operator) are currently widely used in corner detection algorithms, however, they exist redundant points and poor anti-interference ability. So, a new improved algorithm of Harris operator is proposed in this paper. First, difference of Gaussian filter is used in image filtering, and average of multilayer difference is used for improving anti-interfere ability and increasing stability. And then the difference image is filtered by grayscale morphological filtering. Morphological filtering further removes the troughs which are less than structural elements and make the wave peak remain unchanged, so redundancy points are reduced and noise immunity is improved. Experiment shows that the method is superior to Harris and Harris-Laplace in noise immunity and redundant points.