RO  EN
IMI/Publicaţii/CSJM/Ediţii/CSJM v.22, n.2 (65), 2014/

Parallel Processing and Bio-inspired Computing for Biomedical Image Registration

Authors: Silviu Ioan Bejinariu, Hariton Costin, Florin Rotaru, Ramona Luca, Cristina Niță, Camelia Lazăr
Keywords: image registration, clonal selection algorithm, bacterial foraging algorithm, genetic algorithm, parallel computing.

Abstract

Image Registration (IR) is an optimization problem computing optimal parameters of a geometric transform used to overlay one or more source images to a given model by maximizing a similarity measure. In this paper the use of bio-inspired optimization algorithms in image registration is analyzed. Results obtained by means of three different algorithms are compared: Bacterial Foraging Optimization Algorithm (BFOA), Genetic Algorithm (GA) and Clonal Selection Algorithm (CSA). Depending on the images type, the registration may be: area based, which is slow but more precise, and features based, which is faster. In this paper a feature based approach based on the Scale Invariant Feature Transform (SIFT) is proposed. Finally, results obtained using sequential and parallel implementations on multi-core systems for area based and features based image registration are compared.

Institute of Computer Science, Romanian Academy,
Iasi Branch, Romania
E-mail: , , , , ,



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