Iterative Transform Parameter Refinement for Image Registration

Alkaabi, S. and Deravi, F. (2005) Iterative Transform Parameter Refinement for Image Registration. In: IEE International Conference on Visual Information Engineering (VIE 2005). pp. 65-72. ISBN 0 86341 507 5 . (The full text of this publication is not available from this repository)

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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: Conference or workshop item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image Analysis, Image Processing
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Yiqing Liang
Date Deposited: 15 Aug 2009 18:10
Last Modified: 14 Jan 2010 14:32
Resource URI: http://kar.kent.ac.uk/id/eprint/8902 (The current URI for this page, for reference purposes)
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