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Iterative Transform Parameter Refinement for Image Registration

Alkaabi, Sultan and Deravi, Farzin (2005) Iterative Transform Parameter Refinement for Image Registration. In: IEE International Conference on Visual Information Engineering (VIE 2005). IEEE, pp. 65-72. ISBN 0-86341-507-5. (doi:10.1049/cp:20050072) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:8902)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1049/cp:20050072

Abstract

Image registration is the process of determining the geometrical transformation that aligns two overlapping images. In this paper, a new automatic image registration system is presented for the estimation of 2D translation, rotation around the optical axis, and uniform scale differences between two overlapping images. Several aspects of the system, including fast corner extraction, rotationally invariant block matching, outlier suppression, similarity transformation estimation and parameter refinement using 2D clustering are discussed in detail. The performance of the system is demonstrated experimentally using various aerial images with different complexity.

Item Type: Book section
DOI/Identification number: 10.1049/cp:20050072
Uncontrolled keywords: iterative methods; image registration; transforms; pattern clustering; edge detection; feature extraction; image matching
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Yiqing Liang
Date Deposited: 15 Aug 2009 18:10 UTC
Last Modified: 16 Nov 2021 09:46 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/8902 (The current URI for this page, for reference purposes)

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