Adjustment of active contour parameters in Brain MRI segmentation using evolution strategies
Belgrana Fatima Zohra, Nacéra Benamrane, Taleb Ahmed Abdelmalik · 2015
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.