Exploiting correlations in projection-based image registration

Matthew Sambora; Richard K. Martin

doi:10.1117/1.2957973

Abstract

Projection-based image registration algorithms use the sum of the pixel values along a given axis of an image to detect spatial changes in temporally separated images. These algorithms have been shown to be computationally efficient and effective for aligning temporally separated images and for visually detecting sensor motion. Registering images via projections has also been shown as a method for overcoming registration errors caused by the presence of fixed pattern noise. This work describes a method that exploits the statistical properties of images with significant local correlation to improve the performance of projection-based image registration algorithms. The algorithm is shown to operate in low signal-to-noise ratio (SNR) conditions and to significantly improve registration performance by as much as a factor of 5.5 in mean squared error over existing projection-based registration algorithms at a minimal computational cost.

Citation Download Citation

Matthew Sambora, Matthew Sambora, Richard K. Martin, Richard K. Martin, } "Exploiting correlations in projection-based image registration," Optical Engineering 47(7), 077005 (1 July 2008). https://doi.org/10.1117/1.2957973 . Submission:

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $20.00

Non-members: $25.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years