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Proceedings Paper

Image warping using derivative information
Author(s): Kanti V. Mardia; John A. Little
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Paper Abstract

Following the pioneering work of Bookstein and Green on using edgel information through splines, we provide a kriging approach which is general, exact and theoretically elegant. We give first the mathematical formulation through the regression approach of the kriging predictor with derivative information on line. It is shown how Bookstein and Green's limiting approach leads to the same operational solution. Further, the predictor and the bending energy are decomposed into relevant parts. We extend our approach to any dimension including the edgel case. Some applications to medical images are provided.

Paper Details

Date Published: 8 July 1994
PDF: 16 pages
Proc. SPIE 2299, Mathematical Methods in Medical Imaging III, (8 July 1994); doi: 10.1117/12.179254
Show Author Affiliations
Kanti V. Mardia, Univ. of Leeds (United Kingdom)
John A. Little, Univ. of Leeds (United Kingdom)


Published in SPIE Proceedings Vol. 2299:
Mathematical Methods in Medical Imaging III
Fred L. Bookstein; James S. Duncan; Nicholas Lange; David C. Wilson, Editor(s)

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