Gaussian kernel probability-driven slime mould algorithm with new movement mechanism for multi-level image segmentation

Measurement(2022)

Cited 22|Views42
No score
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.
More
Translated text
Key words
Global optimization,Swarm intelligence,Slime mould algorithm,Multi-level image segmentation,2D Kapur’s entropy,Benchmark,IEEE CEC,Image
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined