Registration based on evolution models

Karol Mikula; Serena Morigi; Fiorella Sgallari

doi:10.1117/12.448667

20 November 2001 Registration based on evolution models

Karol Mikula, Serena Morigi, Fiorella Sgallari

Proceedings Volume 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI; (2001) https://doi.org/10.1117/12.448667
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

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.

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Karol Mikula, Serena Morigi, and Fiorella Sgallari "Registration based on evolution models", Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); https://doi.org/10.1117/12.448667

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KEYWORDS

Image registration

Image processing

Medical imaging

3D modeling

Motion models

3D image processing

Detection and tracking algorithms

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