Registration Of Rotated Images

Bahman Rezaie; Rahbar Maghsoodi

doi:10.1117/12.940047

3 June 1987 Registration Of Rotated Images

Bahman Rezaie, Rahbar Maghsoodi

Proceedings Volume 0757, Methods of Handling and Processing Imagery; (1987) https://doi.org/10.1117/12.940047
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States

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.

Citation Download Citation

Bahman Rezaie and Rahbar Maghsoodi "Registration Of Rotated Images", Proc. SPIE 0757, Methods of Handling and Processing Imagery, (3 June 1987); https://doi.org/10.1117/12.940047

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available