An image registration method based on SIFT and ORB
Mingshu Shang · 2023
For the SIFT algorithm having great computational complexity caused by too many feature points and complicated descriptors, an advanced image registration method is proposed. At first it uses SIFT to extract the feature points from two images and eliminate edge points. Next it introduces image entropy into feature point threshold to select feature points with better quality and reduce the number of feature points. Then it uses ORB algorithm to describe the feature points and Hamming distance nearest neighbor method to match the feature points. Lastly it uses the advanced voting law based on the constraint relations of feature points to purify the matching points and the improved PROSAC algorithm to calculate the optimal transformation matrix. Experiments verify the performance of the algorithm.