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Evaluation of medical image registration by some meta-heuristics

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2 Author(s)
Samy Ait-Aoudia ; Institut National d¿Informatique, BP 68M, Oued-Smar 16270 Algiers, Algeria ; Ramdane Mahiou

Registration is an important task in image processing used to match two or more images. In the field of medical imaging, registration is used to match anatomic structures from two or more images taken at different times to track for example the evolution of a disease. Intensity based techniques are widely used in multimodal registration. To have the best matching, a cost function expressing the similarity between these images is maximized. To resolve this problem, we evaluate two global optimization techniques that are genetic algorithms and simulated annealing. In this paper we show some results obtained in medical images registration.

Published in:

Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on

Date of Conference:

12-14 March 2008