Social Spider Optimization Algorithm in Multimodal Medical Image Registration
محورهای موضوعی : پردازش تصویر و ویدیو، پردازش گفتار
Zahra Hossein-Nejad
1
(Islamic Azad University Shiraz)
Mehdi Nasri
2
(Electrical Engineering)
کلید واژه: image registration, medical image processing, optimization, meta-heuristic algorithms, Social Spider Optimization,
چکیده مقاله :
Image registration is one of the most essential applications of image processing, especially in medical. The purpose of image registration is to find the optimal parameters of conversion functions. The selection of appropriate optimization algorithms is very important in determining the optimal parameter. The Social Spider Optimization (SSO) algorithm is one of the meta-heuristic methods that prevents premature convergence. In this paper, medical image registration technique is suggested based on the SSO algorithm. The simulation results on Brain Web dataset affirm the suggested method outperforms classical registration methods in terms of convergence rate, execution time.
Image registration is one of the most essential applications of image processing, especially in medical. The purpose of image registration is to find the optimal parameters of conversion functions. The selection of appropriate optimization algorithms is very important in determining the optimal parameter. The Social Spider Optimization (SSO) algorithm is one of the meta-heuristic methods that prevents premature convergence. In this paper, medical image registration technique is suggested based on the SSO algorithm. The simulation results on Brain Web dataset affirm the suggested method outperforms classical registration methods in terms of convergence rate, execution time.
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