Digital core image registration based on SIFT features
Yuxue Wang, Xue Zhang · Journal of Physics Conference Series · 2021
Abstract In this paper, SIFT features and FLANN matching are applied to digital core image registration to achieve the purpose of fast digital core image registration. In this paper, three groups of digital core images data are used to carry out experiments from different aspects of rotation, brightness, translation and the combination of the three. The experimental results show that the method in this paper can effectively perform digital core image registration.