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Proceedings Paper

Registration based on evolution models
Author(s): Karol Mikula; Serena Morigi; Fiorella Sgallari
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Paper Abstract

Image registration is a very common and important problem in several fields such as medical imaging, computer vision, simulation, etc. The aim of this contribution is to present a new mathematical partial differential equation (PDE)-model for the registration of two-dimensional (2D) and three-dimensional (3D), eventually noisy, images. Estimating the registration between two image data sets is here formulated as a motion estimation and evolution problem. Moreover we shortly review the PDE approaches which originated the proposed model. The model is based on ideas introduced for processing of space-time image sequences. The proposed algorithm can deal with small and large deformations, it also works in presence of noise and it is very fast. Computational results in processing of a variety of images including synthetic and medical images are presented.

Paper Details

Date Published: 20 November 2001
PDF: 11 pages
Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); doi: 10.1117/12.448667
Show Author Affiliations
Karol Mikula, Slovak Univ. of Technology (Slovak Republic)
Serena Morigi, Univ. of Bologna (Italy)
Fiorella Sgallari, Univ. of Bologna (Italy)


Published in SPIE Proceedings Vol. 4474:
Advanced Signal Processing Algorithms, Architectures, and Implementations XI
Franklin T. Luk, Editor(s)

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