Registration of images with affine geometric distortion by means of moment invariants

Jan Flusser; Stanislav Saic; Tomas Suk

doi:10.1117/12.196783

30 December 1994 Registration of images with affine geometric distortion by means of moment invariants

Jan Flusser, Stanislav Saic, Tomas Suk

Proceedings Volume 2315, Image and Signal Processing for Remote Sensing; (1994) https://doi.org/10.1117/12.196783
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

This paper deals with the registration of images with affine geometric distortion. It describes a new method for automatic control point selection and matching. First, reference and sensed images are segmented and closed-boundary regions are extracted. Each region is represented by a set of affine-invariant moment-based features. Correspondence between the regions is then established by a two-stage matching algorithm that works both in the feature space and in the image space. Centers of gravity of corresponding regions are used as control points. A practical use of the proposed method is demonstrated by registration of SPOT and Landsat TM images. It is shown that our method can produce subpixel registration accuracy.

Citation Download Citation

Jan Flusser, Stanislav Saic, and Tomas Suk "Registration of images with affine geometric distortion by means of moment invariants", Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); https://doi.org/10.1117/12.196783

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