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Proceedings Paper

Registration Of Rotated Images
Author(s): Bahman Rezaie; Rahbar Maghsoodi
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Paper Abstract

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.

Paper Details

Date Published: 3 June 1987
PDF: 10 pages
Proc. SPIE 0757, Methods of Handling and Processing Imagery, (3 June 1987); doi: 10.1117/12.940047
Show Author Affiliations
Bahman Rezaie, St. Mary's University (United States)
Rahbar Maghsoodi, St. Mary's University (United States)

Published in SPIE Proceedings Vol. 0757:
Methods of Handling and Processing Imagery
Julian Marshall, Editor(s)

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