Gaussian kernel probability-driven slime mould algorithm with new movement mechanism for multi-level image segmentation
Measurement(2022)
Abstract
•An improved slime mould algorithm (MGSMA) is proposed for image segmentation.•An effective multi-level image segmentation based on MGSMA is developed.•The performance of MGSMA is verified by comparing with some well-known peers.•MGSMA effectively optimizes segmentation process and improves segmentation results.
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Key words
Global optimization,Swarm intelligence,Slime mould algorithm,Multi-level image segmentation,2D Kapur’s entropy,Benchmark,IEEE CEC,Image
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