Image Registration Method Based on Optimized SURF Algorithm

In order to solve the time consuming problem of image registration based on the traditional SURF algorithm, the image registration method based on the optimized SURF algorithm is proposed. Firstly, the image corner points are extracted by the Shi-Tomasi algorithm, then, the SURF algorithm is used to generate the corner point descriptors and the sparse principle algorithm is used to reduce the dimension of the corner point descriptors. Finally, the bidirectional matching algorithm is used to match. Through the experimental data analysis, the image registration method based on the optimized SURF algorithm is nearly the same in image registration accuracy in comparison with the traditional SIFT algorithm, the traditional SURF algorithm and the other four optimized algorithms, but the time consuming of image registration is decreased by 79.09%, 47.74%, 66.25%, 50.79%, 21.43% and 5.13%, respectively, verifying the instantaneity and effectiveness of the algorithm.