Color Image Segmentation Using Swarm Based Optimisation Methods

The present paper places specific swarm based optimization methods that are the predator prey optimizer, the symbiotic algorithm, the cooperative co-evolutionary optimizer and the bees' algorithm in color image segmentation framework to offer global pixels clustering. The Predator prey optimiser is mainly designed to create diversity through predators to permit better segmentation accuracy. The symbiotic one is proposed to allow finer search through a symbiotic interaction with varying parameters. The cooperative coevolutionary optimizer which results in a good quality of image segmentation through interaction between three species where each of them evolves in an independent color space through a standard particle swarm optimizer and the bees algorithm which is proposed to offer the most accurate results based on a neighborhood search.