Paper
8 July 1994 Image warping using derivative information
Kanti V. Mardia, John A. Little
Author Affiliations +
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kanti V. Mardia and John A. Little "Image warping using derivative information", Proc. SPIE 2299, Mathematical Methods in Medical Imaging III, (8 July 1994); https://doi.org/10.1117/12.179254
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Cited by 27 scholarly publications.
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KEYWORDS
X-rays

X-ray imaging

Medical imaging

Data modeling

Head

Nuclear medicine

Systems modeling

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