A fast and high accuracy registration method for multi-source images

Aiming at the problem of low registration accuracy and poor real-time performance which are caused by traditional SIFT and SURF algorithm in multi-source image registration, a fast and high accuracy registration method is proposed. It makes full use of the flexibility of NSCT for image decomposition and the accuracy of SURF for feature location, as well as the quickness of SURF for feature extraction. Firstly, two images are decomposed by NSCT and SURF features are extracted in low frequency images. Secondly, feature points are matched bilaterally by using the ratio of the closest neighbor and second closest neighbor to avoid one-to-many matching. Then RANSAC is applied to refine the matching. Finally, image registration is realized quickly and accurately. Experimental results show that the proposed method is better than traditional SIFT and SURF in registration accuracy and computation time. It has the validity.