Multi-threshold image segmentation using an enhanced fruit fly optimization for COVID-19 X-ray images

Shuhui Hao,Changcheng Huang,Ali Asghar Heidari,Zhangze Xu,Huiling Chen,Eatedal Alabdulkreem,Hela Elmannai,Xianchuan Wang

Biomedical Signal Processing and Control（2023）

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摘要

•An improved Fruit fly Optimization Algorithm (EEFOA) is proposed.•Two effective optimization mechanisms, elite natural evolution (ENE) and elite random mutation (ERM), are introduced to FOA.•The outstanding performance of EEFOA is demonstrated by comparing with other advanced peers.•An effective EEFOA-based multi-threshold image segmentation (MIS) method is proposed.•The performance of EEFOA-based MIS method is confirmed on COVID-19 X-ray images segmentation.

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关键词

Meta-heuristic algorithm,Fruit fly optimization algorithm,Multi-threshold image segmentation,COVID-19 X-ray images

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