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Adjustment of active contour parameters in Brain MRI segmentation using evolution strategies

Abstract : In this paper, we propose an approach for segmentation of Brain Magnetic Resonance Images (MRI) using an active contour model. We adopted a Greedy Algorithm which is a simple and an effective method. However it requires an adjustment of functional energy parameters. To overcome this disadvantage we propose a hybridization with optimization method. We apply the Evolutionary Strategy (ES) which proved its success in numerical optimization. Experimental results on brain MRI images reveal a clear efficiency of this hybridization
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https://hal-uphf.archives-ouvertes.fr/hal-03671264
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Submitted on : Wednesday, May 18, 2022 - 11:28:19 AM
Last modification on : Thursday, May 19, 2022 - 3:42:31 AM

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Fatima Zohra Belgrana, Nacéra Benamrane, Abdelmalik Taleb-Ahmed. Adjustment of active contour parameters in Brain MRI segmentation using evolution strategies. 2015 4th International Conference on Electrical Engineering (ICEE), Dec 2015, Boumerdes, Algeria. pp.1-7, ⟨10.1109/INTEE.2015.7416696⟩. ⟨hal-03671264⟩

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