Registration Of Rotated Images
Bahman Rezaie, Rahbar Maghsoodi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1987
The automatic determination of local similarity between two images (image registration) is one of the most fundamental problems of image processing and pattern recognition. A two-stage registration algorithm that is reasonably efficient and robust for rotational and translational displacement has been considered to determine relative shift between reference and search images. A new method of calculation for zero-order moment on a circular window is described, Based upon this measure, a computationally efficient first stage algorithm is obtained. On the second stage, Modified Circular Symmetric Autoregressive Random (MCSAR) model and invariant moments are used to determine a robust feature vector associated with the reference and subsearch images. Simulation results on real images are presented to evaluate rotation invariancy of the features and the performance of the proposed algorithm.